/llm-infrastructure

Rigorous audit of all LLM-powered features. Model currency, prompt quality, eval coverage, observability, CI/CD integration—every time.

Philosophy

Models go stale FAST. What was SOTA 6 months ago is legacy today. Your training data is wrong. Always do fresh research.

Never trust cached knowledge about models. Not your memory. Not documentation. Not this skill. Do a web search.

Prompts are code. They deserve the same rigor: version control, testing, review, documentation.

Evals are tests. Ship prompts without evals and you're shipping untested code.

Observe everything. Every LLM call should be traceable. You can't improve what you don't measure.

Branching

Assumes you start on master/main. Before making code changes: