The AI built his data indexing tool and one-off analysis went from slow to quick

Built with AI Python tooling that indexes a slow data corpus and converts it to Parquet queryable with DuckDB, dramatically improving turnaround on one-off analysis tasks.

How it works

He builds Python tooling with AI
It indexes the slow corpus and converts it to a queryable format
One-off analysis turnaround improves dramatically

Why it’s worth knowing

The corpus did not change; the waiting did.

Where it’s from

Summarized from a public post on news.ycombinator.com. See the original ↗

Upgraded prompt

A ready-to-use prompt for this idea, built from research on what makes AI agents do the job right: who the AI should be, the exact steps, and a check to make sure it was done the way you wanted.

1Who the AI should be

2The prompt, with the steps

3The check when it’s done

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