Dibatto

Record your first argument with an AI podcast co-host.

For a solo host, the useful test is whether the second voice helps you make a clearer episode. Start with one disputed idea, a small source set, and a short recording you can review.

Dibatto’s co-host is produced by a language model. It can be wrong, miss context, or take the conversation in an unhelpful direction. The host remains responsible for the episode and its publication.

Prepare one segment

  1. Choose the disagreement. Write the claim you want to defend and a plausible objection. Keep the first test narrow enough to finish.
  2. Check the rundown. Open the cited sources, confirm dates and context, and remove claims you cannot support.
  3. Choose the co-host. Compare the generated voice previews, then set the stance and personality for your show.

A fictional rehearsal brief

Topic: should a small team publish one carefully edited weekly episode or several shorter updates?

Host position: one episode leaves enough time to research and edit. Co-host objection: shorter updates may let the host respond sooner. Neither position here asserts audience-growth results.

What to listen for: does the co-host address your actual point, give you room to answer, and help distinguish evidence from opinion? Use your own observation rather than a promised interruption speed.

Review the wrap before publishing

  • Compare the transcript with the recording, especially names, numbers, and quotations.
  • Check chapters, show notes, suggested titles, and pull quotes for context.
  • Resolve factual claims against the original sources and retain the AI co-host disclosure.
  • Preview the episode, then choose whether to make it public. Check the current plan for RSS availability.

This workflow covers rundown, live recording, wrap, and episode publication. It does not promise automatic social clips or captioned vertical-video exports.

The trial includes one 10-minute episode.

Workflow reviewed September 16, 2026. The rehearsal brief is illustrative; the voice previews are generated speech, not a recorded customer outcome.