For AI builders
Practical notes on evaluation, source boundaries, agents, and learning by building.
LLM Builder: Zero to Shipped Agent
Move from prompting to RAG, evals, tools, agents, deployment, and failure analysis.
Agent Failure Zoo
A practical field guide to how AI agents fail: wrong tool, stale context, hidden authority, bad memory, and confident nonsense wearing a clipboard.
RAG Source Boundary Checklist
A builder checklist for retrieval systems: corpus scope, freshness, citations, refusal cases, and when the answer needs a human handoff.
Evals Before Agents
Write small pass/fail cases before adding tools, memory, autonomy, or impressive-looking agent loops.
Using AI Without Losing The Plot
Using AI as a tutor and critic, with a concrete way to understand and check the code it changes.