Public shelves with sources and playbooks grouped by intent.
6 collections
Authoritative, source-backed anchors for designing, building, and operating reliable LLM agents — composable patterns, context engineering, tool/protocol standards (MCP), and a production agent SDK.
Source-backed playbooks across AI work, travel, home safety, food safety, credit protection, and solo-company operations.
Docs and examples for comparing coding-agent workflows without collapsing them into a generic starter kit.
Core docs and templates for evaluating a TypeScript AI app stack before choosing implementation details.
First-party model-lab prompting references collected for comparison and later enrichment.
Local, gateway, and self-hosted model references for people evaluating private or offline AI workflows.