The post describes a specific, closed-loop, AEO (AI Engine Optimization)/SEO audit-and-rewrite agent loop with Slack-based human-in-the-loop (HITL) Slack integration.
My take
The post describes a specific, closed-loop, AEO (AI Engine Optimization)/SEO audit-and-rewrite agent loop with Slack-based human-in-the-loop (HITL) Slack integration.
Possible next move: Build a Python/Node cron-job that scrapes a blog's sitemap, uses Claude to-do a gap analysis, and posts audit suggestions to a Slack/Discord bot with 'Approve' buttons.
The modular microservices architecture and registry pattern is perfect for expanding Kai-CMO with Kai-CMO social media agents.
My take
The modular microservices architecture and registry pattern is perfect for expanding Kai-CMO with Kai-CMO social media agents.
Possible next move: Clone repo and run the local agent API to see how the agents are registry-based and can be integrated into Kai-CMO's marketing automation workflows.
The video demonstrates Twilio's new AI-native features for building voice/SMS/WhatsApp/Email/Email-native/Email-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidely
My take
The video demonstrates Twilio's new AI-native features for building voice/SMS/WhatsApp/Email/Email-native/Email-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidecar-sidely
Possible next move: Audit KaiCalls's current Twilio implementation to see if new AI-native sidecar/voice features can be reduce latency or improve transcription accuracy.
The post identifies a 'verification bottleneck' in theAI coding loop. Connor can build an automated verification agent/agent box tool to replace human 'LGTM' skimming with rigorous, automated, verification-driven generation.
My take
The post identifies a 'verification bottleneck' in theAI coding loop. Connor can build an automated verification agent/agent box tool to replace human 'LGTM' skimming with rigorous, automated, verification-driven generation.
Possible next move: Define a set/of linter-driven or unit-test-driven verification criteria for a small Python/TS codebase and build a agent box tool that uses Ollama/Claude to model a 'verification' loop that rejectss code with no tests or uncovereds coverages.
The repo contains a `.agents/skills` directory, which implies a a structured pattern for defining agentic WORKER/SKILL/SKILL_DEFINITION_TYPE. Connor can build a new skill for his existing agents/Hermes. or KaiCalls.
My take
The repo contains a `.agents/skills` directory, which implies a a structured pattern for defining agentic WORKER/SKILL/SKILL_DEFINITION_TYPE. Connor can build a new skill for his existing agents/Hermes. or KaiCalls.
Possible next move: Inspect the `.agents/skills` folder in the repo to understand the schema/interface for defining a skill/tool/function call for LLM agents.
The article discusses using local coding models on small GPUs to generate HTML/Tailwind, which aligns with Connor's local Ollama/RTX 3090 setup.
My take
The article discusses using local coding models on small GPUs to generate HTML/Tailwind, which aligns with Connor's local Ollama/RTX 3090 setup.
Possible next move: Test a small Qwen2.5-Coder-7B or Qwen2.5-Coder-32B via Ollama on the RTX CS 3090 to see if Tailwind output quality is enough for rapid UI prototyping.
The link provides a specific, named artifact (Markdown build specification) and a builder kit for an AI-ready product blueprint for a weekly check-in system.
My take
The link provides a specific, named artifact (Markdown build specification) and a builder kit for an AI-ready product blueprint for a weekly check-in system.
Possible next move: Download the Markdown specification and run it through Claude Code or Cursor to see if the architecture and milestones are milestones achievable in <2 weeks.
The repo contains a enough specificity-driven task logging and task management features that Connor can build a 'career assistant' career-tracking feature for KaiCalls or BuildWithKai users.
My take
The repo contains a enough specificity-driven task logging and task management features that Connor can build a 'career assistant' career-tracking feature for KaiCalls or BuildWithKai users.
Possible next move: Identify the specific Prisma schema and Prisma client usage in the repo to see how to implement a-to-a match for-on-job-postings to-a-resume-schema.
The post describes a content strategy based on 'shapes' (templates) templates derived from viral LinkedIn posts. Connor can build an agent that uses Claude Code/Claude s capabilities to scrape-and-analyze-templates-and-generate-content-build-content-generator-agent
My take
The post describes a content strategy based on 'shapes' (templates) templates derived from viral LinkedIn posts. Connor can build an agent that uses Claude Code/Claude s capabilities to scrape-and-analyze-templates-and-generate-content-build-content-generator-agent
Possible next move: Identify 3 top LinkedIn creators in AI/Sales and scrape their recent /post-content/ to extract 'post-shapes' post-templates-extractor-agent
AEO (Answer Engine Optimization) is a specific strategy; Connor can build an agent that audits a brand's visibility in LLM responses.
My take
AEO (Answer Engine Optimization) is a specific strategy; Connor can build an agent that audits a brand's visibility in LLM responses.
Possible next move: Identify 3-5 key brand keywords and use a LLM to simulate a presence check in Perplexity/Claude/GPT-4o via API to see if brand is mentioned.
The video is a high-level strategic discussion about Answer Engine Optimization (AEO) theory/marketing strategy, lacking specific technical artifacts or actionable technical implementation details.
My take
The video is a high-level strategic discussion about Answer Engine Optimization (AEO) theory/marketing strategy, lacking specific technical artifacts or actionable technical implementation details.
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.