Leeroo-AI

Use when something is failing in ML/AI work — OOM, NaN, divergence, crashes, bad throughput, wrong outputs, dependency conflicts

Use when the user is stuck, needs ranked next steps, or wants alternatives after initial experiments — "I tried X and got Y, what next?"

Use when the user wants to understand an ML/AI topic, compare approaches, or survey framework capabilities — "how does X work?", "compare X vs Y"

Use when the user wants to verify code, config, or math before running — or proactively before any expensive training job or deployment

Use when the user wants an implementation plan, architecture design, or multi-step ML pipeline — "build X", "implement X", "design X", "set up X"

Use when starting any conversation involving ML/AI — establishes how to use Leeroopedia KB tools and workflow skills

Use when starting, logging, or reviewing ML experiments — maintains a persistent experiment journal with hypotheses, results, and learnings across sessions

Optimize code using KAPSO (Knowledge-Grounded Optimization). Use when you need to write, optimize, or fix code. Connects to a local KAPSO server that iteratively improves solutions through experimentation.

Use Leeroopedia MCP to fetch grounded ML/AI best practices, build and review ML plans, debug failures, verify code/math correctness, and expand KB citations via get_page.