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An agent scored genealogy matches and missed the matches a human spots at once

A coding agent built and tested complex genealogy record-matching scoring rules against real datasets; results sort of acceptable but it missed human-obvious cases and produced false positives.

This only partly worked. Read what happened before you try it.

How it works

  1. A coding agent builds and tests complex scoring rules for genealogy record matching against real datasets
  2. Results are sort of acceptable
  3. It misses the cases a human finds obvious

Why it’s worth knowing

Obvious to a person is a technical term in matching, and the agent lacked it.

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
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