How AIPodify Works

We fetch publicly available transcripts directly from YouTube for every episode that has a video. YouTube auto-generates captions for most podcast episodes at no cost.

When a transcript isn't available — or is too short to be useful — we fall back to the episode's description as source material for the summary.

Each transcript is processed by Google Gemini, a large language model. We send the full transcript along with a structured prompt that asks the model to extract:

• A concise episode summary (3–5 paragraphs) • Key takeaways — the most important ideas • Notable quotes — the most quotable moments • Topics covered — for navigation and discovery • Books mentioned — resources referenced in the episode • Key concepts explained — jargon decoded • Actionable takeaways — things you can actually do • Timeline breakdown — what's covered at each timestamp • Who should listen — audience fit

Generated summaries are stored in our Supabase database and linked to the episode. Topics are normalized so that variant spellings ("AI" and "artificial intelligence") map to the same hub page.

Episodes with very short transcripts are flagged as lower quality — their pages include a "Short episode" badge and are de-prioritized in SEO signals.

Guest names extracted by the AI are automatically linked to guest profile pages so you can explore all their appearances in one place.

AI-generated summaries are best-effort interpretations of the original conversation. They may:

• Miss nuance, sarcasm, or context that requires domain expertise • Occasionally hallucinate details not present in the transcript • Incorrectly attribute quotes when multiple speakers overlap • Produce different summaries for the same transcript across runs

We do not manually verify summaries. Every page carries the "AI-generated" label and links to the original source so you can listen and verify yourself.