
I’m Robert Eubanks, an AI-First CTO exploring how Generative AI and multi-agent systems can be applied in the real world. Here I share what I’m learning, building, and testing in the fast-moving world of applied AI.
| Platform | Pricing | Only free issues | Publishes | Twice weekly | |
|---|---|---|---|---|---|
| Issues | 18 | Founded | 9 months ago | Last Issue | 20 days ago |
| Active | |||||

This is Part Two of a series on local agentic search on Apple Silicon. Part One, “Build a Working AI Agent on Your Mac (No Cloud, No API Keys),” walked readers from a clean Mac to a working local agentic search agent. Part Two compiles the...
The prior article in this series, “RAG vs Agentic Search on Apple Silicon,” ran 42 structured tests across three retrieval approaches (classical RAG, cloud-assisted agentic search, and fully local agentic searc...
This is a living document. Updates are based on real-world installs, community feedback, and new OpenClaw features.
v2.0: Full rewrite for OpenClaw 2026.5.x. The original guide grew by accretion across five point releases (v1.0 through v1....
The previous article in this series ran 42 tests comparing RAG and agentic search on local Apple Silicon hardware. The headline finding was that agentic search outperforms RAG when the model driving the search is capable enough. Sonnet on r...
Anthropic built a RAG pipeline for Claude Code. Embeddings, vector database, chunked retrieval. The standard playbook. Then they tested agentic search alongside it. grep, glob, file reads, iterative refinement. No embeddings. No pre-process...
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The writers behind this newsletter.
Robert Eubanks has led engineering teams building AI-native products as a startup CTO. He writes about what actually works.
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