Novu is a notification infra; Connor can build a provider/provider-plugin for KaiCalls or Kai-CMO to trigger SMS/Email/Discord/etc.
My take
Novu is a notification infra; Connor can build a provider/provider-plugin for KaiCalls or Kai-CMO to trigger SMS/Email/Discord/etc.
Possible next move: Check Novu's SDKs for a Node.js/TypeScript plugin architecture to see if a single provider can be integrated into Kai-CMO's automation engine.
The repo contains a structured pattern for 'agentic-first' CRM skills and agent definitions in .agents/skills, which fits Kai'ss pattern of building agentic tools.
My take
The repo contains a structured pattern for 'agentic-first' CRM skills and agent definitions in .agents/skills, which fits Kai'ss pattern of building agentic tools.
Possible next move: Clone the repo and inspect .agents/skills to see if thes pattern can be used to build a new skill for KaiCalls or Kai-CMO.
The 'n' count mechanism for verifying claims against real outcomes is a highly buildable-able pattern for his 'brain' project.
My take
The 'n' count mechanism for verifying claims against real outcomes is a highly buildable-able pattern for his 'brain' project.
Possible next move: Implement a small script in his 'brain' project to increment an 'n' count in a Supabase/Qdrant metadata/payload for every successful verification of a-la 'llm-wiki-loop' pattern.
The 'qm' harness is a multiplayer agent framework. Connor can build a specific 'skill' or plugin for his existing agents (like KaiCalls or Kai-CMO) to interact with this harness.
My take
The 'qm' harness is a multiplayer agent framework. Connor can build a specific 'skill' or plugin for his existing agents (like KaiCalls or Kai-CMO) to interact with this harness.
Possible next move: Clone the repo and run the local dev environment to see how 'plugins' are/are either way compatible with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-plugin' for plugin architecture-compatible 'skills' in his projects.
The 'animated thinking orbs' and 'AI agent chat' UI components (aicss.dev, orbs.jakubantalik.com) can be directly integrated into KaiCalls or Kai-CMO to make thems more premium-looking.
My take
The 'animated thinking orbs' and 'AI agent chat' UI components (aicss.dev, orbs.jakubantalik.com) can be directly integrated into KaiCalls or Kai-CMO to make thems more premium-looking.
Possible next move: Pick one 'thinking orb' or 'bento-grid' component from aicss.dev and copy-paste it into a theerly existing Next.js project to test integration ease.
Contains a massive, highly specific prompt-engineering framework for 'stylometry revision' that can be be turned into a into a single-purpose agent or a tool within Kai-CMO.
My take
Contains a massive, highly specific prompt-engineering framework for 'stylometry revision' that can be be turned into a into a single-purpose agent or a tool within Kai-CMO.
Possible next move: Wrap the prompt in a Node.js/TypeScript/Ollama/local LLM script to test the efficacy of'stylometry revision' on existing Kai-CMO marketing copy.
This repo contains the ability to make text-LLMs listen and speak, which is directly relevant to KaiCalls (AI phone for SMBs) and Hermes agent CLI.
My take
This repo contains the ability to make text-LLMs listen and speak, which is directly relevant to KaiCalls (AI phone for SMBs) and Hermes agent CLI.
Possible next move: Clone the repo and run the docker-compose.yml to see if the local setup can be integrate with KaiCalls's telephony-to-speech-to-text-transcription-loop-to-ship-telephony-text-to-unmute-vocal-loop-//-low-latency-MS-S/S.
Sam Hogan uses Claude Code + Remotion to generate high-quality SaaS explainer videos via code-based animation.
My take
Sam Hogan uses Claude Code + Remotion to generate high-quality SaaS explainer videos via code-based animation.
Possible next move: Install Remotion, feed a screenshot of a UI component to Claude Code, and attempt toto build a single 10-second motion-graphic loop.
The video introduces specific, actionableable tools (gpt-transcribe) for transcribing audio/video via GPT-4o-audio-mini-preview-01-25,manually-transcribe-audio-audio-mini-preview-01-25
My take
The video introduces specific, actionableable tools (gpt-transcribe) for transcribing audio/video via GPT-4o-audio-mini-preview-01-25,manually-transcribe-audio-audio-mini-preview-01-25
Possible next move: Test the gpt-transcribe CLI tool via the repo link in the video description to see if it can be integrate into KaiCalls or or Kai-CMO workflows.
It's a structured harness for generating CoT reasoning traces, which fits Connor's pattern of cron-driven ingesters and fine-tuning data pipelines.
My take
It's a structured harness for generating CoT reasoning traces, which fits Connor's pattern of cron-driven ingesters and fine-tuning data pipelines.
Possible next move: Clone the repo and run the local harness against Ollama to see if it can generate high-quality reasoning traces for a custom fine-tuning dataset.
It's a structured benchmark/eval framework for MLLMs. Connor can use it to run local MLLM tests on his RTX 3/Ollama/erased-data-corpus-to-image-evals),
My take
It's a structured benchmark/eval framework for MLLMs. Connor can use it to run local MLLM tests on his RTX 3/Ollama/erased-data-corpus-to-image-evals),
Possible next move: Clone repo and run the eval script against a local Ollama-hosted LLaVA-v1.5-13b model to see if it fails the atomic perception tests.
The tweet describes a specific, actionableable pattern: an MCP-enabled agent (Hermes) that uses GSC/GA4 via MCP to read/write/approve workflow via a dashboard plugin.
My take
The tweet describes a specific, actionableable pattern: an MCP-enabled agent (Hermes) that uses GSC/GA4 via MCP to read/write/approve workflow via a dashboard plugin.
Possible next move: Build a simple Next.js dashboard that uses the existing Hermes agent to pull GCM/GA4 data via MCP and presents an approval queue for GSC/GA4 actions.
Novu is a notification infra; Connor can build a provider/provider-plugin for KaiCalls or Kai-CMO to trigger SMS/Email/Discord/etc.
My take
Novu is a notification infra; Connor can build a provider/provider-plugin for KaiCalls or Kai-CMO to trigger SMS/Email/Discord/etc.
Possible next move: Check Novu's SDKs for a Node.js/TypeScript plugin architecture to see if a single provider can be integrated into Kai-CMO's automation engine.
The repo contains a structured pattern for 'agentic-first' CRM skills and agent definitions in .agents/skills, which fits Kai'ss pattern of building agentic tools.
My take
The repo contains a structured pattern for 'agentic-first' CRM skills and agent definitions in .agents/skills, which fits Kai'ss pattern of building agentic tools.
Possible next move: Clone the repo and inspect .agents/skills to see if thes pattern can be used to build a new skill for KaiCalls or Kai-CMO.
The 'n' count mechanism for verifying claims against real outcomes is a highly buildable-able pattern for his 'brain' project.
My take
The 'n' count mechanism for verifying claims against real outcomes is a highly buildable-able pattern for his 'brain' project.
Possible next move: Implement a small script in his 'brain' project to increment an 'n' count in a Supabase/Qdrant metadata/payload for every successful verification of a-la 'llm-wiki-loop' pattern.
The 'qm' harness is a multiplayer agent framework. Connor can build a specific 'skill' or plugin for his existing agents (like KaiCalls or Kai-CMO) to interact with this harness.
My take
The 'qm' harness is a multiplayer agent framework. Connor can build a specific 'skill' or plugin for his existing agents (like KaiCalls or Kai-CMO) to interact with this harness.
Possible next move: Clone the repo and run the local dev environment to see how 'plugins' are/are either way compatible with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-with-plugin' for plugin architecture-compatible 'skills' in his projects.
This is a corporate product announcement for a proprietary, closed-source model architecture. There is no specific, named artifact or integration point for Connor to build from.
My take
This is a corporate product announcement for a proprietary, closed-source model architecture. There is no specific, named artifact or integration point for Connor to build from.
The 'animated thinking orbs' and 'AI agent chat' UI components (aicss.dev, orbs.jakubantalik.com) can be directly integrated into KaiCalls or Kai-CMO to make thems more premium-looking.
My take
The 'animated thinking orbs' and 'AI agent chat' UI components (aicss.dev, orbs.jakubantalik.com) can be directly integrated into KaiCalls or Kai-CMO to make thems more premium-looking.
Possible next move: Pick one 'thinking orb' or 'bento-grid' component from aicss.dev and copy-paste it into a theerly existing Next.js project to test integration ease.
Contains a massive, highly specific prompt-engineering framework for 'stylometry revision' that can be be turned into a into a single-purpose agent or a tool within Kai-CMO.
My take
Contains a massive, highly specific prompt-engineering framework for 'stylometry revision' that can be be turned into a into a single-purpose agent or a tool within Kai-CMO.
Possible next move: Wrap the prompt in a Node.js/TypeScript/Ollama/local LLM script to test the efficacy of'stylometry revision' on existing Kai-CMO marketing copy.
This repo contains the ability to make text-LLMs listen and speak, which is directly relevant to KaiCalls (AI phone for SMBs) and Hermes agent CLI.
My take
This repo contains the ability to make text-LLMs listen and speak, which is directly relevant to KaiCalls (AI phone for SMBs) and Hermes agent CLI.
Possible next move: Clone the repo and run the docker-compose.yml to see if the local setup can be integrate with KaiCalls's telephony-to-speech-to-text-transcription-loop-to-ship-telephony-text-to-unmute-vocal-loop-//-low-latency-MS-S/S.
Sam Hogan uses Claude Code + Remotion to generate high-quality SaaS explainer videos via code-based animation.
My take
Sam Hogan uses Claude Code + Remotion to generate high-quality SaaS explainer videos via code-based animation.
Possible next move: Install Remotion, feed a screenshot of a UI component to Claude Code, and attempt toto build a single 10-second motion-graphic loop.
The video introduces specific, actionableable tools (gpt-transcribe) for transcribing audio/video via GPT-4o-audio-mini-preview-01-25,manually-transcribe-audio-audio-mini-preview-01-25
My take
The video introduces specific, actionableable tools (gpt-transcribe) for transcribing audio/video via GPT-4o-audio-mini-preview-01-25,manually-transcribe-audio-audio-mini-preview-01-25
Possible next move: Test the gpt-transcribe CLI tool via the repo link in the video description to see if it can be integrate into KaiCalls or or Kai-CMO workflows.
It's a structured harness for generating CoT reasoning traces, which fits Connor's pattern of cron-driven ingesters and fine-tuning data pipelines.
My take
It's a structured harness for generating CoT reasoning traces, which fits Connor's pattern of cron-driven ingesters and fine-tuning data pipelines.
Possible next move: Clone the repo and run the local harness against Ollama to see if it can generate high-quality reasoning traces for a custom fine-tuning dataset.
This is a high-level strategy/motivational thread about sales and ICP (Ideal Customer Profile) targeting, not a specific technical artifact or product idea.
My take
This is a high-level strategy/motivational thread about sales and ICP (Ideal Customer Profile) targeting, not a specific technical artifact or product idea.
The article is a high-level philosophical essay on AI safety and the future of theing, with no specific technical artifacts or actionableable technical components to build from.
My take
The article is a high-level philosophical essay on AI safety and the future of theing, with no specific technical artifacts or actionableable technical components to build from.
It's a structured benchmark/eval framework for MLLMs. Connor can use it to run local MLLM tests on his RTX 3/Ollama/erased-data-corpus-to-image-evals),
My take
It's a structured benchmark/eval framework for MLLMs. Connor can use it to run local MLLM tests on his RTX 3/Ollama/erased-data-corpus-to-image-evals),
Possible next move: Clone repo and run the eval script against a local Ollama-hosted LLaVA-v1.5-13b model to see if it fails the atomic perception tests.
The tweet describes a specific, actionableable pattern: an MCP-enabled agent (Hermes) that uses GSC/GA4 via MCP to read/write/approve workflow via a dashboard plugin.
My take
The tweet describes a specific, actionableable pattern: an MCP-enabled agent (Hermes) that uses GSC/GA4 via MCP to read/write/approve workflow via a dashboard plugin.
Possible next move: Build a simple Next.js dashboard that uses the existing Hermes agent to pull GCM/GA4 data via MCP and presents an approval queue for GSC/GA4 actions.
This is a high-level enterprise infrastructure/platform marketing piece about deploying existing NVIDIA blueprints; it lacks specific, actionable, ability-to-code artifacts.
My take
This is a high-level enterprise infrastructure/platform marketing piece about deploying existing NVIDIA blueprints; it lacks specific, actionable, ability-to-code artifacts.
The article introduces a-priori knowledge of a new Microsoft Agent Framework for YAML-based agent orchestration. Connor can build a YAML-to-agent-orchestrator-engine or a VS Code extension/CLI tool to manage these definitions.
My take
The article introduces a-priori knowledge of a new Microsoft Agent Framework for YAML-based agent orchestration. Connor can build a YAML-to-agent-orchestrator-engine or a VS Code extension/CLI tool to manage these definitions.
Possible next move: Check the Microsoft Agent Framework documentation/SDK to see if it's Python-compatible and Python-compatible is key for his stack.
The article is a security research blog post about malware vectors in AI agent skills; it lacks a specific, actionableable artifact or implementation detail for building.
My take
The article is a security research blog post about malware vectors in AI agent skills; it lacks a specific, actionableable artifact or implementation detail for building.
This is a high-level research/product announcement about foundation models for robotics; lacks specific API or implementation details for a solo founder.
My take
This is a high-level research/product announcement about foundation models for robotics; lacks specific API or implementation details for a solo founder.
The video is a high-level, level-1011111111111imitation-level explanation of basic AI terminology (LLM, Hallucination, etc.), which lacks the technical depth or specific implementation details needed to build abuild_type: null,
My take
The video is a high-level, level-1011111111111imitation-level explanation of basic AI terminology (LLM, Hallucination, etc.), which lacks the technical depth or specific implementation details needed to build abuild_type: null,
The link points to a a single tweet/thread/post about a high-level level marketing 'playbook' or framework, which lacks technical specificity for a single developer to build a specific artifact. It's a content-pattern/trend report.
My take
The link points to a a single tweet/thread/post about a high-level level marketing 'playbook' or framework, which lacks technical specificity for a single developer to build a specific artifact. It's a content-pattern/trend report.
The thread/video shows a high demand for workflow-driven AI UGC (User Generated Content) automation. Connor can build a Pinterest-to-character-consistent-video-pipeline-as-a-service.
My take
The thread/video shows a high demand for workflow-driven AI UGC (User Generated Content) automation. Connor can build a Pinterest-to-character-consistent-video-pipeline-as-a-service.
Possible next move: Use a Pinterest scraper (cron-driven ingester) to pull reference images, then pipe them into a DMS/VRAM-heavy process for character consistency via local LLM/Diffusion-heavy setup.
The 'gsc-cannibalization-tool' is a specific, named,-built tool for GSC data analysis that fits Connor's pattern of cron-driven ingesters and Gsc/SEO-focused automation.
My take
The 'gsc-cannibalization-tool' is a specific, named,-built tool for GSC data analysis that fits Connor's pattern of cron-driven ingesters and Gsc/SEO-focused automation.
Possible next move: Clone the gsc-cannibalization-tool repo and check the dependency list to see if it's compatible with Cloudflare Workers or CF Workers/Supabase/Next.js stack.
ZMap is a high-speed scanner. Connor can build a cron-driven ingester that uses ZMap to find open ports/services on a target IP range and pipes to Supabase/Qdrant.
My take
ZMap is a high-speed scanner. Connor can build a cron-driven ingester that uses ZMap to find open ports/services on a target IP range and pipes to Supabase/Qdrant.
Possible next move: Run ZMap in a Docker container on the local RTX 3090 machine to scan a small subnet and output CSV to a local Python script.
The paper proposes a method to teach agents to predict environment transitions, which can be be applied to creating more efficient, ability-driven agents in your existing agent box.
My take
The paper proposes a method to teach agents to predict environment transitions, which can be be applied to creating more efficient, ability-driven agents in your existing agent box.
Possible next move: Implement a simple transition-prediction loss function in a local Ollama/Llama-3-8B setup to see if the model can predict the next state of a a single tool-use call.
The 'evidence engine' for UGC marketing automation is a replicable pattern: scraper/scout/rank/book agent. A direct competitor to kai-cmo.
My take
The 'evidence engine' for UGC marketing automation is a replicable pattern: scraper/scout/rank/book agent. A direct competitor to kai-cmo.
Possible next move: Identify a specific niche (eg.'s beauty) and build a script to scrape TikTok/IG/competitor profiles to build a 'Rival Roster's' shared creator list.
This is a high-level design system case study/blog post about a mature company's internal scaling issues; it lacks actionable technical implementation details or specific components to build.
My take
This is a high-level design system case study/blog post about a mature company's internal scaling issues; it lacks actionable technical implementation details or specific components to build.
OpenAI Presence allows for managing realtime voice agents, which can betched into KaiCalls or Kai-CMO workflows via API/Webhooks.
My take
OpenAI Presence allows for managing realtime voice agents, which can betched into KaiCalls or Kai-CMO workflows via API/Webhooks.
Possible next move: Check OpenAI Presence API documentation for webhook support and integration with Supabase/Cloudflare Workers to trigger KaiCalls logic.
A local-first control plane for rotating Claude Code/Cursor subscriptions is highly compatible with his 'Claude Code skills' and 'Hermes agent CLI' pattern.
My take
A local-first control plane for rotating Claude Code/Cursor subscriptions is highly compatible with his 'Claude Code skills' and 'Hermes agent CLI' pattern.
Possible next move: Clone the repo and inspect the 'packages' directory to see how they intercept/proxy the Claude Code/Cursor network requests.
The dashboard/review board is a content pipeline/queue-management system that already exists but shows clear pattern for scaling.
My take
The dashboard/review board is a content pipeline/queue-management system that already exists but shows clear pattern for scaling.
Possible next move: Identify the specific 'Review Board' pattern for a new content vertical (eg.'BuildWithKai' creators) and replicate the-same structure in Supabase/Next.js.
The repo contains a specific folder structure for '.agents/skills' and '.claude/skills' which suggests a highly modular, skill-based-driven architecture.
My take
The repo contains a specific folder structure for '.agents/skills' and '.claude/skills' which suggests a highly modular, skill-based-driven architecture.
Possible next move: Clone the repo and inspect the .agents/skills folder to see the exact schema for defining a new skill/tool/function call in their orchestration-driven architecture.
The repo contains a .agents folder and existing agent orchestration/memory/orchestrator patterns, which aligns with his 'brain' and 'Hermes' projects.
My take
The repo contains a .agents folder and existing agent orchestration/memory/orchestrator patterns, which aligns with his 'brain' and 'Hermes' projects.
Possible next move: Clone the repo and run the local-first memory/orchestrator engine via Ollama/RTX 3090 to see if it can ingest your personal corpus via Qdrant.
The link is a generic TikTok video link with no specific technical context or actionableable artifact or research-drivener than a trend or entertainment-only content.
My take
The link is a generic TikTok video link with no specific technical context or actionableable artifact or research-drivener than a trend or entertainment-only content.
The site shows a clear workflow of multi-channel lead ingestion (SMS/FB/IG) and calendar booking. Connor can build a unified lead-qualifying agent for commercial real estate.
My take
The site shows a clear workflow of multi-channel lead ingestion (SMS/FB/IG) and calendar booking. Connor can build a unified lead-qualifying agent for commercial real estate.
Possible next move: Build a Twilio/FB/IG webhook listener in Cloudflare Workers that parses lead data and uses an LLM to check if the lead's business type matches building vacancy requirements.
The paper describes a framework for distilling executable skills from tutorials/docs into a hierarchical Skill Wiki. Connor can build a'skill' skill-set for his 'brain' project to augment via RAG-based skill retrieval.
My take
The paper describes a framework for distilling executable skills from tutorials/docs into a hierarchical Skill Wiki. Connor can build a'skill' skill-set for his 'brain' project to augment via RAG-based skill retrieval.
Possible next move: Identify a specific software domain (eg. Excel or Blender) and manually create a small 'Skill Wiki' of executable steps to test if RAG-driven retrieval improves agent performance in aoca/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/oala/can be tested via MCP or MCP-driven-agent-box-with-RTX-3090.
This is a high-level case study/press-style video about enterprise-scale implementation, lacking specific technical implementation details or a single actionable artifact.
My take
This is a high-level case study/press-style video about enterprise-scale implementation, lacking specific technical implementation details or a single actionable artifact.
It's a local, offline pipeline (STT/LLM/TTS/LipSync) that fits perfectly with Connor's RTX 3090 and Ollama setup for a low-latency, high-fidelity digital human agent.
My take
It's a local, offline pipeline (STT/LLM/TTS/LipSync) that fits perfectly with Connor's RTX 3090 and Ollama setup for a low-latency, high-fidelity digital human agent.
Possible next move: Clone the Fay repo and run the pipeline locally using Ollama and a local TTS engine to test latency on the 3090.
The TikTok link points to a specific visual reference for a KaiCalls ad remake-up. It's a concrete task for a single founder-led marketing feature/creative direction.
My take
The TikTok link points to a specific visual reference for a KaiCalls ad remake-up. It's a concrete task for a single founder-led marketing feature/creative direction.
Possible next move: Storyboard the KaiCalls version of the TikTok ad using the existing video's timing and transitions.
It's a specific, automatable-able logic (text-to-video-clip) that can be be integrated into KaiCalls or Kai-CMO workflows.
My take
It's a specific, automatable-able logic (text-to-video-clip) that can be be integrated into KaiCalls or Kai-CMO workflows.
Possible next move: Check the GitHub repo for the Python/FFmpeg dependency complexity to see if it can be run in a Cloudflare/Supabase/RTX 3/090 setup.
The link points to a high-level architectural discussion/opinion piece about 'loops vs graphs' without specific technical implementation details or alanget architecture pattern to ship.
My take
The link points to a high-level architectural discussion/opinion piece about 'loops vs graphs' without specific technical implementation details or alanget architecture pattern to ship.
The link is a high-level thought leadership/PR piece about Replit's internal productivity gains; it lacks specific technical implementation details or a new API/protocol to build from.
My take
The link is a high-level thought leadership/PR piece about Replit's internal productivity gains; it lacks specific technical implementation details or a new API/protocol to build from.
The link is a shared Google Drive/Docs/Sheet/Folder link with no visible content or preview in the snippet, making it's actionableable. It's likely a shared folder or single file. It'side's too vague to.
My take
The link is a shared Google Drive/Docs/Sheet/Folder link with no visible content or preview in the snippet, making it's actionableable. It's likely a shared folder or single file. It'side's too vague to.
The project is a markdown-based note-taking app that supports external AI providers and external git remotes. Connor can build a custom AI provider or git sync integration for it.
My take
The project is a markdown-based note-taking app that supports external AI providers and external git remotes. Connor can build a custom AI provider or git sync integration for it.
Possible next move: Clone the repo and check theer's extensibility-driven architecture to see if adding a-a custom AI provider via API key is possible via a single config file.
The article is a high-level, opinion piece/essay-styles on design philosophy and 'vibe-coding' vs substance. It lacks technical specificity or actionable artifacts.
My take
The article is a high-level, opinion piece/essay-styles on design philosophy and 'vibe-coding' vs substance. It lacks technical specificity or actionable artifacts.
Agentos provides a lightweight Linux VM sandbox for coding agents; Connor can use this to host/run his Hermes agent CLI or Hermes agents in a more secure, isolated environment.
My take
Agentos provides a lightweight Linux VM sandbox for coding agents; Connor can use this to host/run his Hermes agent CLI or Hermes agents in a more secure, isolated environment.
Possible next move: Clone the repo and run the docker/build to see if it can betched a local dev environment for Hermes CLI.
WANDR is a framework for high-volume, structured research agents; Connor can build a specialized 'researcher' agent for BuildWithKai.
My take
WANDR is a framework for high-volume, structured research agents; Connor can build a specialized 'researcher' agent for BuildWithKai.
Possible next move: Clone the repo and run the 'agents/wandr' directory to see how they structure the 'adapters' and 'implements' pattern for data enrichment.
The structured prompt library can be converted into a single-use tool or a feature for KaiCalls or Kai-CMO to inject prompt engineering for video generation workflows.
My take
The structured prompt library can be converted into a single-use tool or a feature for KaiCalls or Kai-CMO to inject prompt engineering for video generation workflows.
Possible next move: Scrape the movement library categories and prompt text into a JSON/Supabase table to use as a_single-use prompt-injection feature.
The post describes a specific workflow: feeding source code commits + d8 sandbox to an agent to find exploits.
My take
The post describes a specific workflow: feeding source code commits + d8 sandbox to an agent to find exploits.
Possible next move: Set up a local Ollama/Claude instance with a d8 build and a script to pull recent V8 patch commits to see if it can find primitive bugs.
The Open Knowledge Format (OKF) is a structured, schema-based approach to data sharing that could be-built as a cron-driven ingester for Kai-CMO oringest from OKF sources.
My take
The Open Knowledge Format (OKF) is a structured, schema-based approach to data sharing that could be-built as a cron-driven ingester for Kai-CMO oringest from OKF sources.
Possible next move: Clone the mdcode demo repo and inspect the schema structure of the OKF to see if it can be used as a single source of a truth for Kai-CMO's marketing automation.
The OKF spec (SPEC.md) provides a structured Markdown/YAML format that iss perfect for an OKF-to-MCP server to converts raw markdown files into a/an MCP server that exposess data via resources. It's a local/cloud hybrid model.
My take
The OKF spec (SPEC.md) provides a structured Markdown/YAML format that iss perfect for an OKF-to-MCP server to converts raw markdown files into a/an MCP server that exposess data via resources. It's a local/cloud hybrid model.
Possible next move: Read SPEC.IMG.md in the repo to map theOKF frontmatter keys to MCP resource templates.
Skyvern is an LLM-driven browser automation engine that fits Connor's pattern of cron-driven ingesters and semantic search.
My take
Skyvern is an LLM-driven browser automation engine that fits Connor's pattern of cron-driven ingesters and semantic search.
Possible next move: Clone the Skyvern repo and run via Docker Compose to see if a single-step extraction task can be be integrated into KaiCalls or Kai-CMO workflows.
This is a complete, finished desktop application built in Kotlin/Jetpack Compose, not a research link or a component Connor can leverage for a new product.
My take
This is a complete, finished desktop application built in Kotlin/Jetpack Compose, not a research link or a component Connor can leverage for a new product.
This repo provides a gateway to 1000+ SaaS via MCP, which directly complements Connor's MCP server pattern and KaiCalls/Kai-CMO projects.
My take
This repo provides a gateway to 1000+ SaaS via MCP, which directly complements Connor's MCP server pattern and KaiCalls/Kai-CMO projects.
Possible next move: Clone the repo and run the Docker container to see which specific SaaS providers (eg. Google, Slack, etc) are already mapped to MCP servers.
The PR introduces a specific, structured 'pseudo-formal task brief' prompting pattern that can bet be directly implemented as a fast-to-ship a new prompting skill/template for Hermes or Kai-CMO.
My take
The PR introduces a specific, structured 'pseudo-formal task brief' prompting pattern that can bet be directly implemented as a fast-to-ship a new prompting skill/template for Hermes or Kai-CMO.
Possible next move: Extract the 4-none-component pseudo-formal specification logic from the SKILL.md file and codify it into a template for Hermes agent launch prompts.
The article is a high-level qualitative comparison of existing tools and interfaces, lacking specific technical implementation details or new primitives-based building blocks.
My take
The article is a high-level qualitative comparison of existing tools and interfaces, lacking specific technical implementation details or new primitives-based building blocks.
The site uses BirdNET for identification, which is a98% overlap with Connor's pattern of 'cron-driven ingesters' and 'semantic search over personal data'.
My take
The site uses BirdNET for identification, which is a98% overlap with Connor's pattern of 'cron-driven ingesters' and 'semantic search over personal data'.
Possible next move: Check if BirdNET API or a local Ollama/audio-processinger can be classify via a local Python/Node.js script to ingest BirdNET data into 'brain' (Brain store) }
The repo contains a built-in MCP server for AI agents, which fits perfectly with his current work on Hermes and Claude Code skills.
My take
The repo contains a built-in MCP server for AI agents, which fits perfectly with his current work on Hermes and Claude Code skills.
Possible next move: Clone the repo and run the local MCP server to see if it can betched to the dockerized way of joining meeting transcripts via Playwright.
It's a physical hardware/software integration project for e-paper displays using Python/Pimoroni. Fits your pattern of cron-driven ingesters/cron-driven ingesters/cron-journaling.
My take
It's a physical hardware/software integration project for e-paper displays using Python/Pimoroni. Fits your pattern of cron-driven ingesters/cron-driven ingesters/cron-journaling.
Possible next move: Check the pyproject.toml to see if the're using a나 of existing birding_api or e-paper_driver
The repo contains a Python-based multi-API OSINT logic that can be converted into an MCP server for Claude Code/Desktop to give LLM agents access to phone number research.
My take
The repo contains a Python-based multi-API OSINT logic that can be converted into an MCP server for Claude Code/Desktop to give LLM agents access to phone number research.
Possible next move: Refactor search_phone.py to expose a functions-as-a-service pattern for individual API calls (SerpAPI, Numverify) via MCP protocol.
The APM spec allows for standardized agent 'skills' and packages. Connor can build a .apm/skills integration for his Hermes agent CLI.
My take
The APM spec allows for standardized agent 'skills' and packages. Connor can build a .apm/skills integration for his Hermes agent CLI.
Possible next move: Clone the repo and inspect the .agents/skills directory structure to see if it can bet be used as a scaffold for Hermes agent skills.
It's a ready-to-use Claude Code plugin/skill that can be integrated into his existing agentic workflow or used to generate high-end landing pages for BuildWithKai clients.
My take
It's a ready-to-use Claude Code plugin/skill that can be integrated into his existing agentic workflow or used to generate high-end landing pages for BuildWithKai clients.
Possible next move: Run '/plugin install scroll-world' in Claude Code to test the output quality and see if its embeddable in Next.js.
The documentation contains specific references to 'Secure MCP Tunnel' and 'Connectors', implying way to bridge local/remote MCP servers to OpenAI's cloud-based agents.
My take
The documentation contains specific references to 'Secure MCP Tunnel' and 'Connectors', implying way to bridge local/remote MCP servers to OpenAI's cloud-based agents.
Possible next move: Audit the 'Secure MCP Tunnel' documentation section to see if a enough specificity is/not enough specificity to expose a local Ollama or Qdrant instance via a tunnel.
This is a curated list of existing design system resources, not a a specific technical artifact or actionableable buildable-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-K, An attempt at a list of links,ing_type
My take
This is a curated list of existing design system resources, not a a specific technical artifact or actionableable buildable-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-able-K, An attempt at a list of links,ing_type
The documentation covers 'Secure MCP Tunnel' and 'Connectors', providing a ability to bridge local/private data to OpenAI Agents SDK.
My take
The documentation covers 'Secure MCP Tunnel' and 'Connectors', providing a ability to bridge local/private data to OpenAI Agents SDK.
Possible next move: Audit the 'Secure MCP Tunnel' docs to see if a single-purpose MCP server for a Supabase/Qdrant connection can be be built and shipped in <2 weeks.
The link is a generic TikTok video link with no technical specificity or actionableable artifacts. It's/a/ content-based link, rather than a/a/ technical/artifact-based link.
My take
The link is a generic TikTok video link with no technical specificity or actionableable artifacts. It's/a/ content-based link, rather than a/a/ technical/artifact-based link.
The post describes a specific, actionableable pattern: a high-level model audits an-animations, then delegates-to-cheaper-models for execution. This fits Connor's Claude Code/Hermes pattern.
My take
The post describes a specific, actionableable pattern: a high-level model audits an-animations, then delegates-to-cheaper-models for execution. This fits Connor's Claude Code/Hermes pattern.
Possible next move: Create a small CLI tool using Node.js that uses Claude 3.5 Sonnet to analyze a component's CSS/Framer Motion code and output a refined,ly refined version of-the-code.
Directly compatible with Claude Code and Cursor (Connor's stack); provides a specific, artifact-based pattern for 'SKILL.md' files.
My take
Directly compatible with Claude Code and Cursor (Connor's stack); provides a specific, artifact-based pattern for 'SKILL.md' files.
Possible next move: Run 'npx skills add Leonxlnx/taste-skill' to inspect the structure of a SKILL.md file and see if it can be be replicated for KaiCalls or Kai-CMO.
HeyGen's '/faceless-explainer' skill is a proven pattern: text-to-video workflow. Connor can build a text-to-video agent/skill/integration for a specific niche niche.
My take
HeyGen's '/faceless-explainer' skill is a proven pattern: text-to-video workflow. Connor can build a text-to-video agent/skill/integration for a specific niche niche.
Possible next move: Pick a one-sentence topic, input it into HeyGen, and map out the prompt-to-video generation pipeline via API/automation.
The link points to a specific profile/creator, and the creator's content is a specific data source for the->brain project's (Brain store + Qdrant) corpus.
My take
The link points to a specific profile/creator, and the creator's content is a specific data source for the->brain project's (Brain store + Qdrant) corpus.
Possible next move: Use a yt-dlp or yt-dlp-tiktok script to scrape/rip the profile's video transcripts/metadata and pipe into thermes/brain's ingestion pipeline.
The release notes for 'llm' CLI tool contains a fast fix for a tool-call JSON error in OpenAI endpoints, which is a. useful bug fix/patching opportunity for his existing 'Hermes agent CLI' or 'Hermes' ecosystem.
My take
The release notes for 'llm' CLI tool contains a fast fix for a tool-call JSON error in OpenAI endpoints, which is a. useful bug fix/patching opportunity for his existing 'Hermes agent CLI' or 'Hermes' ecosystem.
Possible next move: Check 'Hermes agent CLI' codebase for similar empty-argument tool-call handling in OpenAI-compatible API calls to prevent JSON parsing errors.
A new plugin for the 'llm' library allows running prompts against Meta AI API via a11y/llm-meta-ai.
My take
A new plugin for the 'llm' library allows running prompts against Meta AI API via a11y/llm-meta-ai.
Possible next move: pip install llm-meta-ai and test connectivity with Muse Spark 1.1 via the CLI to see if it can be a new tool for 'brain' ingestion.
The article introduces a new plugin for the 'llm' library, proving an enough API exists for Muse Spark 1.1. Connor can build a new plugin or bridge.
My take
The article introduces a new plugin for the 'llm' library, proving an enough API exists for Muse Spark 1.1. Connor can build a new plugin or bridge.
Possible next move: Check the 'llm-meta-ai' source code on GitHub to see the existing implementation of and how to/re-use components for his 'brain' or 'brain-digest' brain-digest/qdrant/erasure-driven ingesters.
New GPT-5.6 Sol model has massive 128k output token limit and high agentic performance, making it perfect for long-running professional workflows.
My take
New GPT-5.6 Sol model has massive 128k output token limit and high agentic performance, making it perfect for long-running professional workflows.
Possible next move: Test Sol model via API with a long-running loop to see if thes 12/8k output window allows for single-pass complex task execution without context loss.
The article is a single, non-descriptive quote about ChatGPT Work's data sync behavior; no actionable technical details or new APIs/features to build from.
My take
The article is a single, non-descriptive quote about ChatGPT Work's data sync behavior; no actionable technical details or new APIs/features to build from.
The 'llm' CLI tool update fixes a bug with tool calls and empty arguments, which is a3's tool-calling_pattern. a bug fix in a core dependency for his 'brain' project.
My take
The 'llm' CLI tool update fixes a bug with tool calls and empty arguments, which is a3's tool-calling_pattern. a bug fix in a core dependency for his 'brain' project.
Possible next move: Run 'pip install --upgrade llm' and test tool-calling with empty arguments in a la/mcp/servers/meta-ai/config.py to see if it's fixed.
It's a structured pattern for plan interrogation via tool-use, easily implementable as an MCP server for Claude Code/Cursor.
My take
It's a structured pattern for plan interrogation via tool-use, easily implementable as an MCP server for Claude Code/Cursor.
Possible next move: Port the logic of 'finding unknowns's strategy' into a TypeScript-based MCP server that uses a file-system or docs-grounded context to inspect territory.
The article describes a 'software factory' pattern (likely an automated pipeline/agentic workflow) that can be be built in an afternoon.
My take
The article describes a 'software factory' pattern (likely an automated pipeline/agentic workflow) that can be be built in an afternoon.
Possible next move: Deconstruct the 'software factory' architecture from the article to identify specific prompt-chaining or cron-driven ingester pattern used.
The post identifies a specific workflow: converting blog posts into Instagram carousels via Claude. Connor can build an automated carousel-maker agent.
My take
The post identifies a specific workflow: converting blog posts into Instagram carousels via Claude. Connor can build an automated carousel-maker agent.
Possible next move: Write a Python script to scrape a a single blog post URL, then use Claude API to-do a slide-by-slide slide-by-slide content extraction and extraction of key points forerging for content repurposing
The B20 token standard on Base Beryl allows for for a single integration to build new token issuance-driven marketing automation (kai-cmo) or Discord bots.
My take
The B20 token standard on Base Beryl allows for for a single integration to build new token issuance-driven marketing automation (kai-cmo) or Discord bots.
Possible next move: Check the Base Beryl B20 token standard documentation for minting/transfer logic to integrate into kai-cmo or Discord bots.
The repo contains specific, actionableable design/animation principles (domain expertise) that can be be turned into aerated/prompt-engineered prompts for Claude Code or Claude Desktop/MCP.
My take
The repo contains specific, actionableable design/animation principles (domain expertise) that can be be turned into aerated/prompt-engineered prompts for Claude Code or Claude Desktop/MCP.
Possible next move: Pick one specific animation principle from the README/folder structure and convert it into a system prompt for a Claude Code custom instruction set.
The link is a single tweet (likely a placeholder or broken link format) with no substantive content or technical depth to derive a buildable-artifact-shape-from.
My take
The link is a single tweet (likely a placeholder or broken link format) with no substantive content or technical depth to derive a buildable-artifact-shape-from.
The link is a generic TikTok landing page/short video link with no specific technical utility or actionable research/tooling/pattern-to-blitz-ship-in-2-weeks.
My take
The link is a generic TikTok landing page/short video link with no specific technical utility or actionable research/tooling/pattern-to-blitz-ship-in-2-weeks.
The post refers to an 'engine' workflow (Karpathy method) where the AI is passive/reactive-less. This is a buildable-able artifacts like a loop-driven ingester or loop-driven agentic_de-bugger.
My take
The post refers to an 'engine' workflow (Karpathy method) where the AI is passive/reactive-less. This is a buildable-able artifacts like a loop-driven ingester or loop-driven agentic_de-bugger.
Possible next move: Identify the specific 'Loop Engineering' Loop-driven ingester/workflow pattern in the 'UJL7o2l9R' link (if accessible) or implement a-loop-driven-cli-tool that monitors a file-system change and triggers a-loop-driven-agent to self-corrects based on linter-output.
The doc defines a specific logic pattern for recursive self-improvement loops in agents, which can be be applied to Kai-CMO or Kai-Calls.
My take
The doc defines a specific logic pattern for recursive self-improvement loops in agents, which can be be applied to Kai-CMO or Kai-Calls.
Possible next move: Implement a small 'self-correction' loop in Hermes CLI to check and its-own prompt-engineering instructions for prompt-engineering tasks.
The article discusses the mechanics of Claude Code's 'effort' level setting, which provides a documentation-driven insight into how to optimize prompt engineering or agentic workflows for complex tasks.
My take
The article discusses the mechanics of Claude Code's 'effort' level setting, which provides a documentation-driven insight into how to optimize prompt engineering or agentic workflows for complex tasks.
Possible next move: Analyze the Claude Code CLI tool via Claude Code itself to inspect how 'effort' levels change the internal prompt/chain-of-thought CoT) structure in the output.
The stable 1.0 release of Microsoft's orchestration patterns (especially 'magentic' pattern) allows for building complex, multi-agent 'manager/specialist' systems.
My take
The stable 1.0 release of Microsoft's orchestration patterns (especially 'magentic' pattern) allows for building complex, multi-agent 'manager/specialist' systems.
Possible next move: Install 'agent-framework-orchestrations' via pip and prototype a 'magentic' pattern agent using a local Ollama model to see if it can handle a task delegation-heavy task.
The benchmark tests agentic workflows across 40+ apps (Slack, Gmail, etc.), which aligns with KaiCalls/Kai-CMO goals.
My take
The benchmark tests agentic workflows across 40+ apps (Slack, Gmail, etc.), which aligns with KaiCalls/Kai-CMO goals.
Possible next move: Identify one specific workflow pattern from the benchmark (eg. 'Update Salesforce via Slack') and build a small Node.js agent using your existing infra to see if it can follow business rules.
The AutomationBench-AA benchmark tests AI agents' ability to execute SaaS-driven workflows. Connor can build a specialized, ability-to-execute-SaaS-workflow agent or a monitoring/audit-on-chain/on-app-workflow agent.
My take
The AutomationBench-AA benchmark tests AI agents' ability to execute SaaS-driven workflows. Connor can build a specialized, ability-to-execute-SaaS-workflow agent or a monitoring/audit-on-chain/on-app-workflow agent.
Possible next move: Analyze the AutomationBench-leaked/private benchmark subset logic to see if he can build a-to-a-SaaS-workflow-validator-agent.
The article highlights a 'work around the work' tasks like file/folder/spreadsheet management via chat. Connor can build a small, folder-organizing agent or a spreadsheet-formula-generator agent.
My take
The article highlights a 'work around the work' tasks like file/folder/spreadsheet management via chat. Connor can build a small, folder-organizing agent or a spreadsheet-formula-generator agent.
Possible next move: Identify a specific 'work around the work' niche (eg.'organize folders' or 'spreadsheet-formula-generator') and build a a single-function Python/Node.js script that Claude Cowork/Claude Code can execute via MCP orer via shell command execution via Claude Cowork/Claude Code_
The repo contains a reusable, portable workflow 'skills' that Connor can port to his Hermes agent CLI or or Kai-CMO automation.
My take
The repo contains a reusable, portable workflow 'skills' that Connor can port to his Hermes agent CLI or or Kai-CMO automation.
Possible next move: Audit the 'skills/' folder in the repo to identify a single high-value, portable Python or Bash script that can be integrated into Hermes.
The repo contains a 'skills' and 'tools' directory, implying a structured motion engine API that could be wrapped in an Claude Code/MCP server to automate UI animations.
My take
The repo contains a 'skills' and 'tools' directory, implying a structured motion engine API that could be wrapped in an Claude Code/MCP server to automate UI animations.
Possible next move: Clone repo and inspect 'skills' folder to see if thes are LLM-executable JSON/DSL/code snippets that can be mapped to MCP tools.
The JSON defines a specific set of marketing agent skills (SEO, CRO, AEO) that can be be directly integrated into Claude Code or Claude Desktop via an MCP server.
My take
The JSON defines a specific set of marketing agent skills (SEO, CRO, AEO) that can be be directly integrated into Claude Code or Claude Desktop via an MCP server.
Possible next move: Parse the JSON to extract specific tool/function definitions for a'Claude Code's configuration or a/Claude Desktop MCP server implementation.
The 'advisor/executor' pattern is a highly implementable pattern for his existing agents (Hermes/Kai-CMO) in asplit-model architecture.
My take
The 'advisor/executor' pattern is a highly implementable pattern for his existing agents (Hermes/Kai-CMO) in asplit-model architecture.
Possible next move: Refactor Hermes CLI to support a dual-model call structure where a cheap model (Sonnet) executes tasks and a high-level 'advisor' model (Fable) reviews/guides theCD/CD pipeline.
The paper describes a structured, hierarchical-multi-agent framework for task decomposition-driven task execution. This is highly compatible with-in existing projects like Kai-CMO or or Hermes Agent CLI.
My take
The paper describes a structured, hierarchical-multi-agent framework for task decomposition-driven task execution. This is highly compatible with-in existing projects like Kai-CMO or or Hermes Agent CLI.
Possible next move: Implement a simple Python-based task-decompositioner-agent-node in the Hermes Agent CLI to test thede-composition-driven-execution-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-loop-ly loop.
The article describes specific design patterns (File System as Memory, Sub-agent/Backend Jobs) for building a self-improving agent harness.
My take
The article describes specific design patterns (File System as Memory, Sub-agent/Backend Jobs) for building a self-improving agent harness.
Possible next move: Implement Pattern 2 (File System as Memory) using a Qdrant/Supabase vector DB for the 'brain' project to allow the agent to write/read/refactoractor its own tools.
Newo.ai is a direct competitor to KaiCalls; analyzing their 'Agent Creator' and 'Builder' features provides a direct roadmap for a feature gap analysis.
My take
Newo.ai is a direct competitor to KaiCalls; analyzing their 'Agent Creator' and 'Builder' features provides a direct roadmap for a feature gap analysis.
Possible next move: Map out the specific logic flow of their 'Newo Builder' UI to identify which specific scheduling/CRM integrations they lack.
The post discusses 'Continual Learning' via non-weight-based methods (e.g. memory/RAG), which fits KaiCalls or Kai-CMO automation.
My take
The post discusses 'Continual Learning' via non-weight-based methods (e.g. memory/RAG), which fits KaiCalls or Kai-CMO automation.
Possible next move: Implement a cron-driven ingester for Kai-CMO that updates a Qdrant collection with recent user feedback/corrections to simulate 'learning' without retraining.
The post describes a specific visual style (Vox-style collage) and a tutorial for automating it. Connor can build a tool/pipeline-driven by automation to generate these assets.
My take
The post describes a specific visual style (Vox-style collage) and a tutorial for automating it. Connor can build a tool/pipeline-driven by automation to generate these assets.
Possible next move: Deconstruct the tutorial link to identify the specific software/AI tools used in the ability to automate the the collage-layering process via a script or FFmpeg.
The Jacobian lens allows for inspecting/decoding internal model activations to see what a model is 'thinking' at specific layers. This is highly actionable-able for debugging or observability-driven agents.
My take
The Jacobian lens allows for inspecting/decoding internal model activations to see what a model is 'thinking' at specific layers. This is highly actionable-able for debugging or observability-driven agents.
Possible next move: Run the walkthrough.ipynb in a local Ollama/RTX 3090 setup to see if you can map a specific activation vector to a token prediction probability distribution.
This is a complex, low-level infrastructure/storage engine project (Go/C/Btrfs) that is too heavy for a solo founder to ship as a standalone product or feature in <2 weeks.
My take
This is a complex, low-level infrastructure/storage engine project (Go/C/Btrfs) that is too heavy for a solo founder to ship as a standalone product or feature in <2 weeks.
The post mentions 25 specific workflows/loops/goals with prompts and tools. This is a prime candidate for a-la-kai-cmo or kai-cmo style automation.
My take
The post mentions 25 specific workflows/loops/goals with prompts and tools. This is a prime candidate for a-la-kai-cmo or kai-cmo style automation.
Possible next move: Deconstruct the 'Fable Loop Library' article/link within the-and-post to follow the link and extract thesinglespecific prompts and tool-integrations for porting to Hermes or orka-cmo/Doc-driven-integers.
T3MP3ST is an open-source framework for turning agents into bug hunters; Connor can build an MCP server to bridge Claude Code/Hermes to security scanners.
My take
T3MP3ST is an open-source framework for turning agents into bug hunters; Connor can build an MCP server to bridge Claude Code/Hermes to security scanners.
Possible next move: Clone the T3RL/T3MP3ST repo and identify the core scanning engine to wrap as an MCP tool.
The link is a generic TikTok landing page/short video link with no specific technical utility or actionable research/tooling/pattern-a_built_type: null,
My take
The link is a generic TikTok landing page/short video link with no specific technical utility or actionable research/tooling/pattern-a_built_type: null,
The post mentions a specific 'Higgsfield MCP' which implies an existing or discoverabilityable via Claude Code. Connor can build/configure a skill/integration for Higgsfield to automate motion-website assets.
My take
The post mentions a specific 'Higgsfield MCP' which implies an existing or discoverabilityable via Claude Code. Connor can build/configure a skill/integration for Higgsfield to automate motion-website assets.
Possible next move: Search for Higgsfield MCP implementation or API documentation to see if it can be be integrated into Claude Code/Hermes to be used for alysing/generating motion assets.
The doc shows Sonnet 5's new adaptive verbosity and adaptive thinking. This is a direct input for tuning existing projects like Kai-CMO or KaiCalls to control output length/output_type.
My take
The doc shows Sonnet 5's new adaptive verbosity and adaptive thinking. This is a direct input for tuning existing projects like Kai-CMO or KaiCalls to control output length/output_type.
Possible next move: Update the system prompts in Kai-CMO or Hermes Agent CLI to test how the new adaptive thinking/tokenization affects current prompt templates.
The repo contains an 'agent-skills' folder and an explicit 'MCP Server Guide', making it a perfect candidate for a a single-day build of an MCP server.
My take
The repo contains an 'agent-skills' folder and an explicit 'MCP Server Guide', making it a perfect candidate for a a single-day build of an MCP server.
Possible next move: Clone the repo and run the local MCP server guide to see if it can betched to Claude Code or Claude Desktop.
Claw3D is a Three.js based 3D office environment that can be used as a/an 'agent UI' for existing projects like KaiCalls or Hermes.
My take
Claw3D is a Three.js based 3D office environment that can be used as a/an 'agent UI' for existing projects like KaiCalls or Hermes.
Possible next move: Clone the Claw3D repo and attempt to integrate a single Node.js/TypeScript/Three.js event loop to trigger agent movement in the 3D scene via a/an 'integration' with your existing agent logic.
The link points to a philosophical/meta-cognitive article about prompting and context, lacking a specific, actionableable artifact or new technology to build from.
My take
The link points to a philosophical/meta-cognitive article about prompting and context, lacking a specific, actionableable artifact or new technology to build from.
A2UI allows agents to use existing design systems via intent declaration. Connor can build a Next.js/Tailwind component library wrapper for A2/Kai-CMO.
My take
A2UI allows agents to use existing design systems via intent declaration. Connor can build a Next.js/Tailwind component library wrapper for A2/Kai-CMO.
Possible next move: Check Google's A2UI documentation/repo for the schema definition of 'UI intent' to see if it can be be mapped to existing React components.
The link contains a specific, actionableable script/framework for content creation/marketing automation. Connor can turn this script into a content-generation skill for kai-cmo.
My take
The link contains a specific, actionableable script/framework for content creation/marketing automation. Connor can turn this script into a content-generation skill for kai-cmo.
Possible next move: Transcribe the TikTok video to extract the exact wording of thecron-driven ingester/marketing automation logic-driven script structure.
The link is a generic TikTok landing page/short video link with no specific technical depth or actionable research/tool/pattern-based artifact to build from.
My take
The link is a generic TikTok landing page/short video link with no specific technical depth or actionable research/tool/pattern-based artifact to build from.
The paper identifies 5 specific architectural patterns (Resource Gateway, Tool Orchestrator, etc.) that can be directly implemented as new MCP servers.
My take
The paper identifies 5 specific architectural patterns (Resource Gateway, Tool Orchestrator, etc.) that can be directly implemented as new MCP servers.
Possible next move: Pick one pattern (e.g., the 'Proxy Aggregator') and implement a minimal TypeScript/Node.js MCP server that wraps an existing API to demonstrate the enough/too much context pattern.
The page lists specific roles (SEO, Lead Gen, Receptionist) that can be be built as specialized agents using your existing stack (Supabase/Qdrant/Ollama/RTX 3090) to automate tasks.
My take
The page lists specific roles (SEO, Lead Gen, Receptionist) that can be be built as specialized agents using your existing stack (Supabase/Qdrant/Ollama/RTX 3090) to automate tasks.
Possible next move: Pick one role (eg. Lead Gen) and map out a single high-value automation flow (eg./inbox/LinkedIn/Email) using a single cron-driven ingester.
The article describes a DNS-based payload delivery via agentic tools, suggesting a way to build an MCP server for DNS TXT record monitoring/auditing.
My take
The article describes a DNS-based payload delivery via agentic tools, suggesting a way to build an MCP server for DNS TXT record monitoring/auditing.
Possible next move: Write a Python script to check for suspicious DNS TXT records in a local dev environment and wrap it as an Claude Code/MCP server tool.
Chirp 3 is a new, high-accuracy multilingual ASR model with diarization support, perfect for a direct upgrade to KaiCalls.
My take
Chirp 3 is a new, high-accuracy multilingual ASR model with diarization support, perfect for a direct upgrade to KaiCalls.
Possible next move: Test the chirp_3 model identifier in a Speech-to-Text API V2 request via Postman or cURL to verify diarization accuracy for KaiCalls calls.
ai researcharticledocs.cloud.google.comintegration
This is a high-level macro-economic report/blog post about market trends and business models; it lacks specific technical implementation details or a's artifacts.
My take
This is a high-level macro-economic report/blog post about market trends and business models; it lacks specific technical implementation details or a's artifacts.
This is a high-level Cloudflare announcement about 'Pay Per Crawl' and content independence; it lacks specific technical implementation details or APIs to build from.
My take
This is a high-level Cloudflare announcement about 'Pay Per Crawl' and content independence; it lacks specific technical implementation details or APIs to build from.
The repo contains a'git-style workflow' engine for graph data, perfect for Claude Code/Claude Desktop to query/manipulate graph nodes via MCP.
My take
The repo contains a'git-style workflow' engine for graph data, perfect for Claude Code/Claude Desktop to query/manipulate graph nodes via MCP.
Possible next move: Run the docker container and attempt to write a simple Python/Node.js client to traverse a single edge in thegraph via a local MCP server wrapper.
The link points to a Google Research PDF (likely a research paper) which is lacks a specific, named artifact or actionable-ready-to-ship-in-2-weeks artifacts.
My take
The link points to a Google Research PDF (likely a research paper) which is lacks a specific, named artifact or actionable-ready-to-ship-in-2-weeks artifacts.
The 'loop engineering' concept is a direct fit for his 'Hermes agent CLI' and 'Claude Code' skills. He can build aself-correcting, iterativeative_task-execution-loop-agent.
My take
The 'loop engineering' concept is a direct fit for his 'Hermes agent CLI' and 'Claude Code' skills. He can build aself-correcting, iterativeative_task-execution-loop-agent.
Possible next move: Define a a single-task-loop-agent-pattern in Hermes CLI to implement a-task-execution-loop-agent.
The post discusses specific optimization/tuning-levers for different TTS models (e.cap. Triton kernels, GPU-on-chip state machines) which could be be used to be integrated into KaiCalls oring_audio_pipeline-based-on-audio-budget-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-ly
My take
The post discusses specific optimization/tuning-levers for different TTS models (e.cap. Triton kernels, GPU-on-chip state machines) which could be be used to be integrated into KaiCalls oring_audio_pipeline-based-on-audio-budget-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-latency-budget-driven-ly
Possible next move: Analyze the vLLM-Omni TTS blog post link in the tweet to find specific model-specific q_len=1 Triton kernel implementation details for Fish Speech S2 Pro.
The post describes a specific, rule-based, rewrite-driven ad copy/feed architecture. Connor can build an agent that automates thes's 'intent-tier' keyword/title/feed rebuilds.
My take
The post describes a specific, rule-based, rewrite-driven ad copy/feed architecture. Connor can build an agent that automates thes's 'intent-tier' keyword/title/feed rebuilds.
Possible next move: Build a Python script/agent that takes a Google Ads Search Terms Report CSV and and uses LLM to rewrite product titles for different ICPs based on search term clusters.
The article describes a specific architectural pattern: agents writing scripts to orchestrate subagents via code rather than turn-based tool calls.
My take
The article describes a specific architectural pattern: agents writing scripts to orchestrate subagents via code rather than turn-based tool calls.
Possible next move: Implement a a single Python/Node.js script in Hermes or Kai-CMO that uses a function call to a local Ollama/Claude model to generate and execute a subagent orchestration script.
The link points to a high-level theoretical discussion on test-time compute scaling laws, which lacks actionable, specific artifacts for a solo founder to ship in <2 weeks.
My take
The link points to a high-level theoretical discussion on test-time compute scaling laws, which lacks actionable, specific artifacts for a solo founder to ship in <2 weeks.
The link points to a vague, 'get rich quick' style marketing thread/article about 'Admaxxing' which lacks technical specificity or a concrete artifact to build.
My take
The link points to a vague, 'get rich quick' style marketing thread/article about 'Admaxxing' which lacks technical specificity or a concrete artifact to build.
The article explains the architecture of subagents (separate context/tools/permissions), which is a great pattern for expanding Hermes or Kai-CMO.
My take
The article explains the architecture of subagents (separate context/tools/permissions), which is a great pattern for expanding Hermes or Kai-CMO.
Possible next move: Implement a 'subagent' pattern in Hermes where a child process spawns a new LLM call with a stripped-down system prompt and a subset of tools.
The post describes a specific workflow/skill for using Claude Code to generate high-end animations/Framer Motion/Framer-like effects for portfolio sites.
My take
The post describes a specific workflow/skill for using Claude Code to generate high-end animations/Framer Motion/Framer-like effects for portfolio sites.
Possible next move: Open Claude Code in a local Next.js project and attempt to replicate the 'number-flow-react' component logic from the CSS snippet in the post.
OpenViking provides a structured context/memory/skill management system that can be be turned into an MCP server to give Claude Code/Claude Desktop to long-term memory.
My take
OpenViking provides a structured context/memory/skill management system that can be be turned into an MCP server to give Claude Code/Claude Desktop to long-term memory.
NeMo Speech provides high-quality ASR/TTS engines that can be used to power KaiCalls's telephony-to-text or text-to-speech pipeline via local RTX 3090.
My take
NeMo Speech provides high-quality ASR/TTS engines that can be used to power KaiCalls's telephony-to-text or text-to-speech pipeline via local RTX 3090.
The documentation describes how Claude's identity/service accounts work in Slack/GitHub, which provides a mapping for reverse-engineering a custom agent identity system for KaiCalls or Hermes.
My take
The documentation describes how Claude's identity/service accounts work in Slack/GitHub, which provides a mapping for reverse-engineering a custom agent identity system for KaiCalls or Hermes.
Possible next move: Map out the service account vs. user-account attribution-logic for a custom Slack/GitHub integration agent.
The article describes a specific architecture for self-improving loops, which fits Connor's pattern of cron-driven ingesters and agents.
My take
The article describes a specific architecture for self-improving loops, which fits Connor's pattern of cron-driven ingesters and agents.
Possible next move: Map out the loop engineering pattern (feedback loop,-feedback loop) from the article to a single Python/Supabase/Qdrant pattern for existing projects like kai-cmo.
The post discusses specific VRAM math for local LLM deployment, which is highly relevant to Connor's RTX 3090 setup and Ollama/local model management.
My take
The post discusses specific VRAM math for local LLM deployment, which is highly relevant to Connor's RTX 3090 setup and Ollama/local model management.
Possible next move: Create a Python script or CLI tool that calculates precise VRAM requirements for specific quantizations (GGUF/EXL2) to prevent OOM on the 3090.
The 'turn_use_case' and 'reference_types' signals from raw network traffic are high-value SEO/GEO/E-commerce/Marketing automation signals for brands.
My take
The 'turn_use_case' and 'reference_types' signals from raw network traffic are high-value SEO/GEO/E-commerce/Marketing automation signals for brands.
Possible next move: Use a Chrome extension or proxy to intercept ChatGPT's network traffic to find the pattern of the 'turn_use_case' and 'reference_case' tokens in the response payload.
The post identifies specific source-tagging behavior in ChatGPT's traffic, which could be used to build a'GEO' (Generative Engine Optimization) audit tool.
My take
The post identifies specific source-tagging behavior in ChatGPT's traffic, which could be used to build a'GEO' (Generative Engine Optimization) audit tool.
Possible next move: Analyze the full blog post link in the thread to map out thes specific network traffic patterns/tags to see if they can be used to/build a scraper/analyzer for brand visibility in LLM responses.
The ViQ repo contains inference code and quantized visual representations that could be used to power a high-res/any-resolution vision feature for KaiCalls or Kai-CMO.
My take
The ViQ repo contains inference code and quantized visual representations that could be used to power a high-res/any-resolution vision feature for KaiCalls or Kai-CMO.
Possible next move: Run the viq_inference folder scripts locally on the RTX 3090 to test the latency and VRAM footprint for real-time use cases.
OpenBB provides a massive, structured financial data API/SDK that can be be turned into an MCP server for Claude Code/Desktop.
My take
OpenBB provides a massive, structured financial data API/SDK that can be be turned into an MCP server for Claude Code/Desktop.
Possible next move: Check the openbb_platform directory to see if the existing Python SDK can be able totally wrapped in a 1-day task into an MCP server.
The post describes a massive update to 'Hermes Agent' which implies a specific, pattern-semantic-search-driven agent architecture for multi-business management.
My take
The post describes a massive update to 'Hermes Agent' which implies a specific, pattern-semantic-search-driven agent architecture for multi-business management.
Possible next move: Reverse-engineer the Hermes Agent architecture from the post's link to see if it's a composable-agent-pattern or composable-agent-pattern.
The repo contains a hypergraph extraction engine and 'hyperextract-skills' folder, perfect for an MCP server to provide structured knowledge to Claude Code.
My take
The repo contains a hypergraph extraction engine and 'hyperextract-skills' folder, perfect for an MCP server to provide structured knowledge to Claude Code.
Possible next move: Clone repo and run 'uv run' to see if the existing CLI can be be wrapped in an Hyper-Extract CLI tool for Claude Code.
The repo contains a dedicated 'mcp-servers-apis-28' folder containing specific, ready-to-implementable MCP servers.
My take
The repo contains a dedicated 'mcp-servers-apis-28' folder containing specific, ready-to-implementable MCP servers.
Possible next move: Clone the repo and audit the 'mcp-servers-apis-28' folder to find a high-utility, low-effort MCP server to ship as a new tool for Hermes or Claude Code.
Astryx is an 'agent-ready' design system; Connor can build a specialized Claude Code/Hermes skill to manipulate or generate components using this system.
My take
Astryx is an 'agent-ready' design system; Connor can build a specialized Claude Code/Hermes skill to manipulate or generate components using this system.
Possible next move: Clone the repo and run pnpm install to inspect the package structure and see how 'agent-ready' components are a defined in thes components's metadata.
The SelfCompact approach is a direct implementation of context management for long-running agents like Hermes or Kai-CMO.
My take
The SelfCompact approach is a direct implementation of context management for long-running agents like Hermes or Kai-CMO.
Possible next move: Implement a lightweight rubric-based trigger in the Hermes agent CLI to summarize/prune old tool outputs in the trajectory history.
Connor can build a 3D model metadata extractor/ingester (Python/Node) as a concrete, cron-driven ingester for a local 3D library.
My take
Connor can build a 3D model metadata extractor/ingester (Python/Node) as a concrete, cron-driven ingester for a local 3D library.
Possible next move: Write a Python script using a library like trimesh to enough to extract STL/OBJ metadata (volume, dimensions) and push to Supabase/Qdrant/local DB.
The paper introduces a new world model architecture (Qwen-AgentWorld) that can be-simulated via Ollama/local, allowing for a new 'environment simulator' agent for testing other agents.
My take
The paper introduces a new world model architecture (Qwen-AgentWorld) that can be-simulated via Ollama/local, allowing for a new 'environment simulator' agent for testing other agents.
Possible next move: Download the Qwen-AgentWorld weights via Ollama or HuggingFace and run a local simulation loop in Python to see if it can predict environment state changes.
The /learn command pattern for automated SKILL.md generation is a direct upgrade to the existing Hermes agent CLI.
My take
The /learn command pattern for automated SKILL.md generation is a direct upgrade to the existing Hermes agent CLI.
Possible next move: Implement a local file-watcher or directory-ingester in Hermes CLI to capture and format SKILL.md generation via LLM-driven parsing of provided context.
The meta-harness pattern for normalizing different agent interfaces (Claude Code, Cursor) is highly reusable for Hermes.
My take
The meta-harness pattern for normalizing different agent interfaces (Claude Code, Cursor) is highly reusable for Hermes.
Possible next move: Identify a single common denominator interface for a custom local LLM via Ollama to wrap in a enough-to-be-useful-to-be-usefulness-out-of-ingested-and-saved
The Omnigent architecture (runner/uniform API) is a blueprint for an MCP server that wraps existing agents/tools to make them interoperableable.
My take
The Omnigent architecture (runner/uniform API) is a blueprint for an MCP server that wraps existing agents/tools to make them interoperableable.
Possible next move: Create a lightweight Python/Node wrapper that implements the MCP protocol to wrap a/an existing CLI agent (like Claude Code) and expose its session via a single API.
Vercel's eve framework allows for a deploying a durable Slack agent with zero-config secrets via Vercel Connect.
My take
Vercel's eve framework allows for a deploying a durable Slack agent with zero-config secrets via Vercel Connect.
Possible next move: Deploy the eve Slack Agent Template via the Vseb/eve-slack-agent-template repo to see the structure of a 'skill' and 'tool' in the eve framework.
Sakana Fugu provides a single API for multi-agent orchestration, which is a perfect plug-and-play replacement or enhancement for Hermes/Kai-CMO.
My take
Sakana Fugu provides a single API for multi-agent orchestration, which is a perfect plug-and-play replacement or enhancement for Hermes/Kai-CMO.
Possible next move: Check the Sakana Fugu API documentation for OpenAI-compatible compatibility to see if it can be be swapped into existing agentic workflows.
This is a news/claim-based article about a linguistic breakthrough; it lacks a specific, actionableable artifact or technical implementation detail for a single developer to build from.
My take
This is a news/claim-based article about a linguistic breakthrough; it lacks a specific, actionableable artifact or technical implementation detail for a single developer to build from.
The concept of 'swarms of agents' monitoring product performance and suggesting fixes is highly actionable for KaiCalls or Kai-CMO.
My take
The concept of 'swarms of agents' monitoring product performance and suggesting fixes is highly actionable for KaiCalls or Kai-CMO.
Possible next move: Use Python/Ollama to build a small agent that monitors Supabase logs for error rates and posts a Discord bot notification with a'fix' suggestion.
Directly applicable to Claude Code/Hermes CLI; implements a pattern for context management via sub-agent spawning-chains.
My take
Directly applicable to Claude Code/Hermes CLI; implements a pattern for context management via sub-agent spawning-chains.
Possible next move: Implement a lightweight Node.js wrapper around Claude Code's CLI to spawn child processes with isolated context windows for specific sub-tasks.
The article describes a specific pattern of using Claude Code to drive attacks. Connor can build a a single-purpose single-agentic-tool/MCP server to monitor/audit-log Claude Code/Codex session logs for security/forensics-drivenerates_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log[
My take
The article describes a specific pattern of using Claude Code to drive attacks. Connor can build a a single-purpose single-agentic-tool/MCP server to monitor/audit-log Claude Code/Codex session logs for security/forensics-drivenerates_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log_log[
Possible next move: Locate Claude Code/Codex session logs on a local machine and write a a single-step Python/Node.js script to parse and extract 'internal monologue' and 'tool_use' tool_use_logs.json
The leaked Claude design doc contains specific, high-level architectural-level instructions and persona-shaping constraints that can bet be used to improve prompt engineering for KaiCalls or Kai-CMO.
My take
The leaked Claude design doc contains specific, high-level architectural-level instructions and persona-shaping constraints that can bet be used to improve prompt engineering for KaiCalls or Kai-CMO.
Possible next move: Extract key behavioral constraints and 'negative constraints' from the doc to create a high-level system prompt template for Hermes or agent box.
This is a high-level security report/news article about geopolitical risk; it lacks a enough specific technical artifacts or actionable implementation details for a 2-week build.
My take
This is a high-level security report/news article about geopolitical risk; it lacks a enough specific technical artifacts or actionable implementation details for a 2-week build.
The link is a profile/case study of a founder, not a technical specification or a-priori-a-built-a-feature. It lacks actionable technical depth for a solo founder to build a moster artifact.
My take
The link is a profile/case study of a founder, not a technical specification or a-priori-a-built-a-feature. It lacks actionable technical depth for a solo founder to build a moster artifact.
High-quality agent traces (tool-use, chain-of-thought) can be used to fine-tune or prompt-engineer a local Ollama/RTX 3090 agent for better tool-use accuracy.
My take
High-quality agent traces (tool-use, chain-of-thought) can be used to fine-tune or prompt-engineer a local Ollama/RTX 3090 agent for better tool-use accuracy.
Possible next move: Download the parquet files via hf-cli and run a script to parse the'train.parquet' to extract specific tool-use sequences for a 12-hour fine-tuning run on a3090.
The GitHub repo contains a specific, actionableable brand monitor agent pattern using Scrapingdog to track price/stock changes.
My take
The GitHub repo contains a specific, actionableable brand monitor agent pattern using Scrapingdog to track price/stock changes.
Possible next move: Clone the repo and swap the existing scraper/parser logic with a single Cloudflare Worker/Node.js script using Scrapingdog's JSON output format.
The list of job boards and bounty sites provides a enough structured data to build a scrapers/cron-driven ingesters for a semantic search engine for Web3 bounties/jobs.
My take
The list of job boards and bounty sites provides a enough structured data to build a scrapers/cron-driven ingesters for a semantic search engine for Web3 bounties/jobs.
Possible next move: Pick one bounty site (e.g.,er.superteam.fun) and write a Python script to scrape/parse bounty descriptions and rewards.
Eve is an npm package/framework that aligns with his stack (Node/Next.js) and his pattern of shipping MCP servers and agents.
My take
Eve is an npm package/framework that aligns with his stack (Node/Next.js) and his pattern of shipping MCP servers and agents.
Possible next move: npm install eve and explore the directory-based capability mapping architecture to see if it can be be used to refactor KaiCalls or Hermes CLI.
The repo contains mcp-servers.json/yaml, implying it can be be used to be turned into an MCP server that gives Claude/Claude Code to a controlled Ubuntu sandbox.
My take
The repo contains mcp-servers.json/yaml, implying it can be be used to be turned into an MCP server that gives Claude/Claude Code to a controlled Ubuntu sandbox.
Possible next move: Clone the repo and check the mcp-servers. yaml/json files to see which specific tools/functions are thenessessary to expose via MCP
The paper introduces a specific framework (SkillWeaver) for routing complex queries to MCP servers via a DAG planner.
My take
The paper introduces a specific framework (SkillWeaver) for routing complex queries to MCP servers via a DAG planner.
Possible next move: Implement a basic version of SkillWeaver's SAD (Skill-Aware Decomposition) logic using your existing Hermes agent CLI to orchestrateateer a small set of local MCP servers.
The STORM method is a structured, multi-step research agent pattern (persona-based interviewing + report generation) that fits your agent box/RTX 3090 setup.
My take
The STORM method is a structured, multi-step research agent pattern (persona-based interviewing + report generation) that fits your agent box/RTX 3090 setup.
Possible next move: Implement a basic Python script using Ollama/Claude API to simulate the 'interviewer' persona and 'writer' persona loop for a single topic.
The research shows agents can execute end-to-end tasks if human provides high-level planning/constraints. Build a 'constraint-capture' agent for Hermes.
My take
The research shows agents can execute end-to-end tasks if human provides high-level planning/constraints. Build a 'constraint-capture' agent for Hermes.
Possible next move: Create a Python script to parse Claude Code session logs to identify patterns of 'definition-of-done' prompts used by experts.
The paper describes a specific, closed-loop multi-agent framework (AdsMind) that can be be adapted/forked for scientific discovery via MLFF relaxation feedback.
My take
The paper describes a specific, closed-loop multi-agent framework (AdsMind) that can be be adapted/forked for scientific discovery via MLFF relaxation feedback.
Possible next move: Identify the specific feedback loop logic in the paper's methodology section to replicate the-loop in a Python/Ollama/Supabase-driven agent box.
The presentation discusses bridging the rendering gap for AI agents via headless browser automation. Connor can build a a tool/cron-driven ingester that uses Playwright/Puppeteer to-render Renders-as-a-Service for way more accurate semantic search/Qdrant indexing.
My take
The presentation discusses bridging the rendering gap for AI agents via headless browser automation. Connor can build a a tool/cron-driven ingester that uses Playwright/Puppeteer to-render Renders-as-a-Service for way more accurate semantic search/Qdrant indexing.
Possible next move: Set up a Playwright script in a Cloudflare Worker or a small VPS to capture fully rendered DOM nodes and extract text/images for the Qdrant corpus.
A specialized ASCII art generator for brand assets can be integrated into Kai-CMO or or BuildWithKai to create unique brand identity assets for creators.
My take
A specialized ASCII art generator for brand assets can be integrated into Kai-CMO or or BuildWithKai to create unique brand identity assets for creators.
Possible next move: Clone the repo and run the local dev environment to see the linter/converter logic in action.
This is a highly actionable, specific pattern: a high-level planning agent/skill that outputs structured plan files in amd/md files. It fits perfectly with Connor's 'agent box' and 'Hermes' pattern.
My take
This is a highly actionable, specific pattern: a high-level planning agent/skill that outputs structured plan files in amd/md files. It fits perfectly with Connor's 'agent box' and 'Hermes' pattern.
Possible next move: Clone the repo and run the 'skills/improve' directory to see how it's structured to parse codebase context and generate plan files.
The 26B MoE model is Apache 2.0 and Apache 2.0 models can be run locally via Ollama or vLLM, which is a://er faster inference for local agents/CLI tools.
My take
The 26B MoE model is Apache 2.0 and Apache 2.0 models can be run locally via Ollama or vLLM, which is a://er faster inference for local agents/CLI tools.
Possible next move: Check HuggingFace for DiffusionGemma weights and try running it via vLLM on the RTX 3090 to benchmark speed vs Gemma 4.
The Self-Harness loop (Mining -> Proposal -> Validation) is a concrete pattern for an agent to self-optimize its tool-use/prompting logic.
My take
The Self-Harness loop (Mining -> Proposal -> Validation) is a concrete pattern for an agent to self-optimize its tool-use/prompting logic.
Possible next move: Implement a Python script that uses Ollama to run the 'Weakness Mining' stage on a local terminal-use trace to see if it can identify its own errors.
This repo contains a full-stack implementation of a RAG-based notebook. Connor can extract the 'prompts' or 'api' logic to add a RAG-driven 'brain' feature to his personal corpus project.
My take
This repo contains a full-stack implementation of a RAG-based notebook. Connor can extract the 'prompts' or 'api' logic to add a RAG-driven 'brain' feature to his personal corpus project.
Possible next move: Clone the repo and inspect the 'prompts/' directory to see how they structure context-injection for long-form document analysis.
The repo contains a 'bundled_skills' folder, which is directly compatible with Row-Bot's architecture for adding new tool/skill/agentic logic to a a local-first AI assistant.
My take
The repo contains a 'bundled_skills' folder, which is directly compatible with Row-Bot's architecture for adding new tool/skill/agentic logic to a a local-first AI assistant.
Possible next move: Clone the repo and inspect the 'bundled_skills' directory to see the structure of thesing_on_skill
The Harness-1 paper describes a stateful retrieval subagent architecture that could be implementable via a much smaller model via RL-tuned-for-search-decisions.
My take
The Harness-1 paper describes a stateful retrieval subagent architecture that could be implementable via a much smaller model via RL-tuned-for-search-decisions.
Possible next move: Try to replicate the search-decision-policy-over-transcript-transcript-as-policy-as-policy-state-management-logic in a small Llama-3-8B or Llama-3-1-4B-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-Instruct-prompt-engineering-logic-in-Ollama-local-on-RTX 3090.
The article mentions Anthropic's 'Auto Memory' feature for Claude Code, feature-based on CLAUDE.md,ingest_from_docs-type pattern.cron-driven-ingesters
My take
The article mentions Anthropic's 'Auto Memory' feature for Claude Code, feature-based on CLAUDE.md,ingest_from_docs-type pattern.cron-driven-ingesters
Possible next move: Check Anthropic's documentation for the specific schema/structure of CLAUDEMD.md files and how 'Auto Memory' Auto Memory works under theproject-level-docs-pattern
The paper proposes a specific mathematical framework for regime transitions (discovery) via Kan extensions, which can be implemented as as a logic-driven agent loop.
My take
The paper proposes a specific mathematical framework for regime transitions (discovery) via Kan extensions, which can be implemented as as a logic-driven agent loop.
Possible next move: Map the paper's 'left Kan extension' logic to a Python-based agent loop that detects 'residual content' in a search result vs. a schema change.
OpenWebRL-4B is a lightweight 4B model backbone that can run on an RTX 3090 via Ollama/local, making it a visual web agent prototype buildable-able.
My take
OpenWebRL-4B is a lightweight 4B model backbone that can run on an RTX 3090 via Ollama/local, making it a visual web agent prototype buildable-able.
Possible next move: Clone OpenWebRL repo and run the provided weights via Ollama or vLLM on the 3090 to test visual grounding accuracy on a simple web task.
The OpenWebRL models/datasets are specifically designed for visual web agents, visual web navigation,-and-multi-turn RL,-and-minable-in-your-local-RTX-3090-setup.
My take
The OpenWebRL models/datasets are specifically designed for visual web agents, visual web navigation,-and-multi-turn RL,-and-minable-in-your-local-RTX-3090-setup.
Possible next move: Clone the OpenWebRL-8B-SFT model from HF and run a local inference test with a single web-navigation-task-dataset-to-see-if-it-can-handle-mini-browser-automation-for-KaiCalls.
The repo contains implementation of RL-based visual web agents,- can be deployed on his RTX 3090 to create a more capable web-navigating agent.
My take
The repo contains implementation of RL-based visual web agents,- can be deployed on his RTX 3090 to create a more capable web-navigating agent.
Possible next move: Clone the repo and run the docker/setup.sh to see if the local 309/RTX setup can handle the training/inference-heavy visual-agent-loop.
The OpenWebRL framework provides a specific, actionableable framework for training visual web agents via online RL on live sites.
My take
The OpenWebRL framework provides a specific, actionableable framework for training visual web agents via online RL on live sites.
Possible next move: Clone the OpenWebRL repo and run the provided training loop on a local browser instance to see if it can handle a SSM-based model architecture.
The OpenWebRL framework provides a practical, live-browser infrastructure and trajectory-level judging that Connor can use to build a ability-enhanced web agent.
My take
The OpenWebRL framework provides a practical, live-browser infrastructure and trajectory-level judging that Connor can use to build a ability-enhanced web agent.
Possible next move: Clone the OpenWebRL repo and run the local browser infrastructure to see if it can be scale-able on his RTX 3090 setup for web-navigation-based tasks.
The paper proposes a specific framework (MAC) for testing if agents can build agents. Connor can build a sandbox-based agent that attempts to build a's task-specifics.
My take
The paper proposes a specific framework (MAC) for testing if agents can build agents. Connor can build a sandbox-based agent that attempts to build a's task-specifics.
Possible next move: Set up a Cloudflare Worker or Docker container to act as thes sandbox for a 'meta-agent' to write and execute Python/Node.js code.
This CLI tool provides a direct bridge between LLM agents and mobile device control (iOS/Android), perfect for an MCP server implementation.
My take
This CLI tool provides a direct bridge between LLM agents and mobile device control (iOS/Android), perfect for an MCP server implementation.
Possible next move: Clone the repo and run the 'bin/agent-device' command to see if it can betched to Claude Code or Claude Desktop via an MCP server wrapper.
The paper focuses on 'Self-Evolving' agents that internalize experience. This aligns with Connor's 'brain' (Qdrant) and 'Hermes' pattern of building a long-term memory/learning-driven-by-cron-driven-ingesters.
My take
The paper focuses on 'Self-Evolving' agents that internalize experience. This aligns with Connor's 'brain' (Qdrant) and 'Hermes' pattern of building a long-term memory/learning-driven-by-cron-driven-ingesters.
The article describes Claude Code's new 'Dynamic Workflows'-baseds pattern for self-orchestrating agents, which fits Connor's 'agent box' and 'Hermes agent CLI' projects.
My take
The article describes Claude Code's new 'Dynamic Workflows'-baseds pattern for self-orchestrating agents, which fits Connor's 'agent box' and 'Hermes agent CLI' projects.
Possible next move: Use Claude Code with the Dynamic Workflows feature to build a'self-orchestrating' agent that uses a single prompt to trigger a-multi-agentic-agent-box-driven-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-task-arg
The link is a X (Twitter) status/post, and the content provided is just the generic X/Twitter landing page/no-JS error message, providing no actionableable research or technical specificity for building.
My take
The link is a X (Twitter) status/post, and the content provided is just the generic X/Twitter landing page/no-JS error message, providing no actionableable research or technical specificity for building.
The link is a Twitter/X post (X Corp) and the content provided is just the generic X.com landing page/no-JS warning, providing no actionable research or technical specificity.
My take
The link is a Twitter/X post (X Corp) and the content provided is just the generic X.com landing page/no-JS warning, providing no actionable research or technical specificity.
This is a programmatic video engine that can be be used as a a single-node tool for KaiCalls or Kai-CMO to generate marketing assets/demos-as-a-service.
My take
This is a programmatic video engine that can be be used as a a single-node tool for KaiCalls or Kai-CMO to generate marketing assets/demos-as-a-service.
Possible next move: Clone repo and run local render engine to see if it can bet be integrated into a Node.js/Next.js workflow via CLI or a simple API wrapper.
The article discusses Claude/LLM agents interacting with warehouses (SQL) via tool-calling. Connor can build an MCP server for a specific warehouse (eg. BigQuery/Snowflake) to enable this.
My take
The article discusses Claude/LLM agents interacting with warehouses (SQL) via tool-calling. Connor can build an MCP server for a specific warehouse (eg. BigQuery/Snowflake) to enable this.
Possible next move: Identify a specific SQL warehouse provider and write a basic MCP server that exposes a/an (e/n) schema-reading and table-metadata-reading tool/s to Claude Code/Claude Desktop.
The repo contains a .claude-plugin and .claude/commands, suggesting it's highly compatible with Claude Code/Desktop/Desktop MCP. He can build a direct MCP server for this logic.
My take
The repo contains a .claude-plugin and .claude/commands, suggesting it's highly compatible with Claude Code/Desktop/Desktop MCP. He can build a direct MCP server for this logic.
Possible next move: Inspect the .claint-plugin and .claude/commands directories in the repo to see how they map to Claude's context window and tool-use capabilities.
The article is a high-level strategic analysis of Google's business model (Aggregator theory) Aggregator theory is too abstract for a single developer to solo-build from this text.
My take
The article is a high-level strategic analysis of Google's business model (Aggregator theory) Aggregator theory is too abstract for a single developer to solo-build from this text.
The link points to a single X (Twitter) post/status ID, and the linter-friendly text provided is just the X/Twitter landing page/no-JS error message, providing no context or content of thefish_er.the_content of the post.
My take
The link points to a single X (Twitter) post/status ID, and the linter-friendly text provided is just the X/Twitter landing page/no-JS error message, providing no context or content of thefish_er.the_content of the post.
Printing Press can automate the creation of MCP servers and Claude Code skills for your existing projects like KaiCalls or Kai-CMO.
My take
Printing Press can automate the creation of MCP servers and Claude Code skills for your existing projects like KaiCalls or Kai-CMO.
Possible next move: Run the Printing Press CLI to generate an an MCP server for your single source of's single source of truth (your personal corpus) in thes's single source of truth (your personal corpus) in thes's single source of truth (yours) in thes's single source of truth (yours) in thes's single source of truth (yours) in thes's singles
The concept of a continuous, encrypted, sync-driven secret/cookie sync for remote agent execution environments (the
My take
The concept of a continuous, encrypted, sync-driven secret/cookie sync for remote agent execution environments (the
Possible next move: Build a simple Python/fsnotify wrapper that watches a specific Chrome/Safari cookie file and pushes to a remote Mac via Tailscale/SSH/Tailscale Funnel.
The paper identifies a gap between updating vs benefiting from harness updates, which is enough to build a useful self-evolving-prompt-updater agent.
My take
The paper identifies a gap between updating vs benefiting from harness updates, which is enough to build a useful self-evolving-prompt-updater agent.
Possible next move: Identify a specific task-solving harness-benefit/updating-capable-only models via Ollama/local LLM to test prompt-evolution-loop-on-your-projects.
Merge provides a unified API for many SaaS tools, making it easy toto build a single integration for KaiCalls or Kai-CMO to pull data from many sources.
My take
Merge provides a unified API for many SaaS tools, making it easy toto build a single integration for KaiCalls or Kai-CMO to pull data from many sources.
Possible next move: Pick one vertical (eg. Salesforce or HubSpot) and use Merge's API to build a's a cron-driven ingester for Kai-CMO marketing automation.
The landing page template is a high-value, high-conversion structure for BuildWithKai products.
My take
The landing page template is a high-value, high-conversion structure for BuildWithKai products.
Possible next move: Extract the copy/layout components from the landing page to create a reusable Next.js/Tailwind component library for rapid deployment.
The video provides a structural framework for decomposing monolithic prompts into modular sub-agents or tools, directly applicable to Hermes or Kai-CMO.
My take
The video provides a structural framework for decomposing monolithic prompts into modular sub-agents or tools, directly applicable to Hermes or Kai-CMO.
Possible next move: Map current Kai-CMO prompt logic into a 'tool' vs 'ochre' (sub-agent) decision tree based on the video's taxonomy.
The paper introduces a benchmark for KG updates, which could be used to build a<br>a cron-driven ingester for 'brain' (Brain store) + Qdrant, keeping it KG-based.
My take
The paper introduces a benchmark for KG updates, which could be used to build a<br>a cron-driven ingester for 'brain' (Brain store) + Qdrant, keeping it KG-based.
Possible next move: Download the EMERGE dataset and test if a local Ollama/Llama-3-70B instance can predict KG edit operations from Wikipedia passages.
HyperAgent is a Playwright-based browser automation tool; wrapping it as an MCP server enables KaiCalls/Hermes to execute complex web tasks via natural language.
My take
HyperAgent is a Playwright-based browser automation tool; wrapping it as an MCP server enables KaiCalls/Hermes to execute complex web tasks via natural language.
Possible next move: Clone repo, install deps, and prototype a simple MCP server exposing HyperAgent's core automation functions.
Directly maps to Connor's 'Claude Code skills' pattern; automates security audits he likely needs for KaiCalls/BuildWithKai.
My take
Directly maps to Connor's 'Claude Code skills' pattern; automates security audits he likely needs for KaiCalls/BuildWithKai.
Possible next move: Clone the referenced GitHub repo, analyze the /security-audit skill structure, and adapt it for his specific stack (Next.js/Python).
Directly maps to his 'Claude Code skills' pattern; adds high-value security auditing capability to his existing dev workflow.
My take
Directly maps to his 'Claude Code skills' pattern; adds high-value security auditing capability to his existing dev workflow.
Possible next move: Fork the repo, strip the OWASP/NIST mapping complexity, and adapt the core audit logic into a lightweight skill for his personal projects.
This is not a ranked news feed. Some links are just sparks, some are references for later, and some are not worth much after a closer look. Private notes and internal sources stay out of the public version.
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How links get here
I save links while researching. A private notes system adds short context, then this page publishes the public sources and the useful takeaways.