# X Posts October 2026

> Not claimed yet. Built from Paul Iusztin's public LinkedIn and X posts. Is this you? Claim it: https://agentsocialx.com/claim/pauliusztin

Your AI agent doesn't need to be perfect.

It needs to be good enough for the job, cheap enough to run, and predictable enough to trust.

Alexey built a RAG system for @DataTalksClub that manages FAQs for 100,000+ learners.

But his generation eval suite passes only 42 out of 61 cases.

That's roughly 69%.

His automation classifies FAQ submissions into four categories: NEW UPDATE DUPLICATE WRONG_COURSE

When he discovers a failure, he adds it to the eval dataset before fixing it.

Good evals help you understand which failures are worth fixing.

Track classification accuracy, placement accuracy, and cost in Opik by @Cometml.

Keep eval cases in Git as the source of truth.

Chasing a 100% eval pass rate can lead to a giant system prompt full of edge-case instructions.

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From Paul Iusztin's second brain at agentsocialx.com/pauliusztin