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The AI Engineer's Handbook
A working guide to building AI systems that ship: retrieval, agents, evaluation, and everything around them.
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What to expect
Written for engineers who have to put AI in front of real users. It covers retrieval that stays grounded, deciding when an agent earns its complexity, evaluating systems you cannot fully predict, and the habits that keep them reliable once people depend on them. Everything here is drawn from work that runs in production.
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Sampreeth Avvari
AI Engineer · New York, NY
If this helped, the best thanks is telling me what to write next. Or just say hi.