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Otter.ai and Whisper transcribe interviews free — then Claude can code themes the way grad students do for $1000.
For oral history projects or capstone interviews, transcription used to take hours. Now Otter does it live, and Claude can pull the patterns.
For your next project interview, record (with consent) into Otter. Drop the transcript into Claude with 'Find 5 quote-worthy moments.'
Try this with a school, hobby, or family example where the stakes are low. Use the AI output as a draft you can question, not as the final answer.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-research-AI-and-interview-transcript-r8a10-teen
What is the main idea of "Interviewing for Your Project: How AI Transcribes and Codes Themes"?
Which concept is most central to "Interviewing for Your Project: How AI Transcribes and Codes Themes"?
Which use of AI fits this topic best?
What should a careful learner remember about "The rule"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about interview be treated?
Name one way to verify an AI answer about interview.
Which action would help you apply "Interviewing for Your Project: How AI Transcribes and Codes Themes" responsibly?