PERSONAL AI KNOWLEDGE BASE
Agent tutorials, illustrated glossaries and primary sources worth keeping — for people who build things with AI.
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Anthropic's guidance for Claude Fable 5.1: choosing effort, keeping users informed, batching tools, preserving append-only history, finishing tasks, controlling scope, coordinating subagents, and improving vision workflows.
Anthropic's production architecture for commerce agents: a single agent with skills and business tools, supported by latency, caching, memory, safety, evaluation, and organizational practices.
Factory's ProgramBench study shows why coding agents stop early on large software tasks, and how an independent executable standard of completion can push them toward behavioral parity.
A complete walkthrough of the model loop, MCP, skills, sandbox execution, subagents, context compaction, approval gates, and durable event streams behind a long-running agent.
A short explanation of how reasoning traces work, how reasoning effort enters the system prompt, and why disabling native reasoning can expose unexpected scratch work.
An interconnected-knowledge thesis: what it means for scientific breakthroughs, potential safety risks, and continual learning.
