Field manuals
Guides for real AI workflows
These are practical setup guides for people building with AI tools every day: agents, editors, coding CLIs, local infrastructure, and the operational habits that keep the stack stable.
WORKSTATIONSlocal ai · workstation
Local AI and dev workstation guide: what to buy first and what can wait
A practical buyer’s guide for building a local AI/dev machine: CPU, RAM, storage, networking, backups, noise, and realistic upgrade priorities.
Read guide →CODING_TOOLScursor · editor
Cursor setup guide: make the editor useful without turning it noisy
A practical Cursor guide covering project rules, context hygiene, model selection, Git checkpoints, and when to use chat vs agent mode.
Read guide →CODING_TOOLSclaude code · coding
Claude Code setup guide for real project work
How to use Claude Code productively: install, auth, repo hygiene, prompting, permission strategy, review loops, and safe automation patterns.
Read guide →AGENTSopenclaw · agent
OpenClaw Setup Guide: from clean install to safe daily use
A practical setup guide for OpenClaw: providers, auth, memory, gateway safety, GitHub/Railway access, and the mistakes worth avoiding.
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