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Notes

On building AI that reaches production

What we have learned building AI systems that had to survive real users — written down properly rather than posted as a thread.

AI engineering7 min

Why most AI pilots never reach production

The gap between an AI demo that impresses a room and a system that survives contact with customers is not model quality. It is evaluation, grounding, cost discipline, and knowing what to do when the model is wrong.

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Retrieval8 min

How to evaluate a RAG system before you ship it

A practical evaluation method for retrieval-augmented generation: separate retrieval from generation, measure three numbers rather than one, and build the test set from cases you already have.

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AI engineering6 min

Do you need an AI agent, or just a feature?

Agents, assistants, and plain automation solve different problems at very different costs. A straight guide to telling them apart before you commit a budget to the wrong one.

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LET'S BUILD

Tell us what you're trying to build and we'll come back with a straight answer on scope, timeline, and whether we're the right people for it.

hello@algobit.dev