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AI agent for historians

Oral History Indexing Agent

Produce a searchable index for each interview with names standardized and sensitive passages flagged.

Oral History Indexing Agent: what goes in, what the agent does and what you get

What it does

A collection of interview transcripts is hard to use if nobody can find who said what about which topic, and risky if passages break the consent terms. This agent reads each transcript, builds an index of topics and names with time stamps, and checks name spellings against the project's authority list, suggesting corrections for variants. It compares passages with the interviewee's consent form and flags anything that touches limits, such as naming third parties, health, minors or legal matters. After the historian fixes names and decides on restrictions, it reruns the checks to confirm nothing remains. It never marks anything public. The historian approves the index and every restricted item. Edge case: a nickname may be a real person, so it asks rather than merges.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueNoNo 1 STARTS WHEN Transcript added 2 USES A TOOL Read transcript and extract names, places and topicswith time stamps 3 DOES Match names to the authority list and proposestandard spellings 4 CHECKS THE RESULT Is every name matched or marked new? If not: list the unmatched names with context and askthe historian. Back to step 3. 5 DOES Compare passages to consent terms and sensitivecategories 6 DOES Draft the index and the list of flagged passages 7 YOU APPROVE Historian reviews names and decides restrictions 8 USES A TOOL Apply the decisions and rebuild the index 9 CHECKS THE RESULT Do any flagged passages remain unaddressed? If not: return the open passages to the historian withthe consent clause. Back to step 5. 10 RESULT Final index with restricted items marked
Read the steps as a list
  1. Transcript added
  2. Read transcript and extract names, places and topics with time stamps
  3. Match names to the authority list and propose standard spellings
  4. Is every name matched or marked new?If not: list the unmatched names with context and ask the historian. Back to step 3.
  5. Compare passages to consent terms and sensitive categories
  6. Draft the index and the list of flagged passages
  7. Historian reviews names and decides restrictionsThe agent waits here for your OK.
  8. Apply the decisions and rebuild the index
  9. Do any flagged passages remain unaddressed?If not: return the open passages to the historian with the consent clause. Back to step 5.
  10. Final index with restricted items marked

How it decides

It assigns a topic when the passage matches the vocabulary terms or their listed synonyms. It flags a passage as sensitive when it matches the consent limits or the sensitive category list.

  • Flag any mention of minors, health or legal matters for review
  • Flag third parties named without their own consent on file
  • Merge a name variant only if the authority list shows it
  • Treat uncertain nicknames as separate until confirmed

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Authority list and vocabulary
  • Sensitive categories to flag
  • Index fields
  • Consent terms template

What keeps you in control

It always asks you first

  • Name standardization decisions
  • Every restricted or closed passage
  • Final index release

Hard limits

  • Never publish or release any transcript
  • Never merge people without confirmation

It stops when

  • Done: names matched and every flag decided
  • Stop: consent form missing

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensA 70-minute interview mentioned Jo at minute 22 and Joseph Marek at minute 41. The agent could not tell if they were one person, so it asked. It also flagged a passage at minute 55 about a neighbor's arrest as against consent terms. After the historian confirmed one person and closed the passage, the recheck found no open flags.

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