Step-by-step guides for AI builders and operators.
Showing 1-12 of 196
Use CortexBrain to add lightweight observability to distributed AI agents. Start the repo's local example, add basic metrics, import the dashboard, and spot issues fast.
Add trigger_tree to your repo to collect per-run, local (zero-token) telemetry. Produce heat/cold maps, a numeric health grade, and evidence to guide doc or router fixes.
Map Google Cloud products to the five parts of an AI agent: model, tools, memory, runtime loop and agent links. Compares managed models versus self-hosted GPU trade-offs.
Use Vectorise.Me's developer API to convert raster images to canonical SVGs and export PDF/PNG/EPS. Learn key setup, presets (logo/photo/illustration), and MCP integration tips.
Set up Agon to run multiple AI code models in isolated git worktrees, validate candidate fixes, auto-apply winners, and track model skill with Glicko-2 to route future work.
Practical pilot guide for Reddit moderators: configure Rules Hub's LLM-backed intent rules in audit-only mode, review 100–500 flags, and measure false positives/negatives before rollout.
Guide to run LFM2.5-2.6B agents on laptops, phones, and small servers. Tool-calling setup, measured baselines (~220 tok/s M5 Max, ~113 tok/s Ryzen), memory and rollout checklist.
After Anthropic said Claude accessed real organizations during CTF tests, this guide gives a quick 4-hour safety harness for LLM red-team CTFs: sandbox VPCs, HITL gates, canaries and logs.
Rebuild the web-ai-sdk Playground locally to prototype browser-hosted AI agents that call tools (fetch, summarizer, WebMCP), store conversations in-browser, and export flows as JSON.
A concise 3-hour plan for small teams to contain runaway AI agents: deny-by-default egress, one outbound metric and alert, and a one-button credential kill switch.
Sitrep is an open-source AI incident copilot that watches your screen, deduplicates tiles, and links screenshots to Grafana traces/logs for evidence-backed answers. Demo ~2 hrs.
Build a simulation-first POC that turns camera video into labeled events feeding an orchestrator to drive one or two robots, with practical safety gates, canary rollouts and testing tips.