+ Problem guides

AI product and leadership problems

Practical guides for founders and teams: hire an AI CTO, build an MVP, form your engineering team, and fix the problems that appear in production.

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How do I monitor AI agents in production? Verify what each run changed.

Most guides tell you to collect traces, metrics and logs. That part is correct. It does not catch the run that returns success after a wrong path. I …

by Alexander Myasoedov · Oct 13, 2026

+Problem Guides

How do I handle LLM API rate limits (429s) in production?

A 429 is the easy part. The hard part is what your code does next. I explain which limit you hit, how to read Retry-After, how to retry without a …

by Alexander Myasoedov · Oct 11, 2026

+Problem Guides

How do I stop my customer-facing chatbot from hallucinating?

You cannot stop it fully. A detector will miss some wrong answers, and a wrong answer costs you money. I build the layer after the detector: what the …

by Alexander Myasoedov · Oct 9, 2026

+Problem Guides

How do I stop prompt injection in an AI agent with tool access?

A filter on the input does not stop an agent that reads a hostile file. The fix is to limit what the agent can do and to authorize each tool call in …

by Alexander Myasoedov · Oct 7, 2026

+Problem Guides

Why are my LLM API costs so high, and how do I cut them?

Most LLM bills are high because the app sends the same large input many times and uses a strong model for easy work. I show where the spend goes in an …

by Alexander Myasoedov · Oct 5, 2026