ChatGPT Prompts for Podcasters: Interviews and Episode Scripts

The best ChatGPT prompts for podcasters specify the listener, the episode’s promise and the source material the assistant may use. Ask for interview questions, a recording outline or show notes from an approved transcript, then check the result against the actual episode. A prompt can organize your material without inventing a guest’s story.

fenbs keeps show-specific prompts and editorial decisions available across episodes, so the next session starts with the same standards. Start with one of the templates below and replace every bracketed field before using it.

What information makes an episode prompt useful?

Give the assistant a short show guide: who listens, what they already know, why they listen and how the host sounds. Add the episode question and the material you actually have. A solo commentary with research notes needs a different outline from an interview based on a guest’s firsthand experience.

Include limits that affect production: whether there is one host or two, what must be recorded verbatim and which topics are off limits. Label sponsor material separately from editorial material. If a guest has approved only certain public biographical details, identify those details instead of asking the assistant to fill in an impressive introduction.

OpenAI’s prompt guidance↗ (opens in a new tab) emphasizes specificity and revision. Use a first response as something to assess, then explain which part missed your listener’s needs. For more general structures, see the AI prompts hub and ChatGPT prompts for work.

Show: [name and one-sentence purpose]
Listener: [who they are and what they know]
Episode question: [one question]
Format: [solo, interview or co-hosted]
Host voice: [three concrete traits]
Allowed sources: [approved notes with IDs]
Rules: Do not invent guest answers, biographical facts, quotations or examples. Flag missing information.
First return a short plan, not a complete script.

How do you get questions that produce a conversation?

Ask for a sequence that moves from a concrete event to its meaning. An opening about a real choice often gives a guest something easier to answer than an abstract request for their philosophy. Follow-up questions should invite details, a competing interpretation or a useful limitation. They should not supply the answer inside the question.

Using the approved guest notes, propose eight interview questions about [episode question].
Sequence: concrete opening, decision, difficulty, alternative view, practical takeaway.
For each question, add one follow-up if the answer stays abstract and explain what the listener would learn.
Avoid assumptions about events absent from the notes. Do not write imagined guest replies.
List three factual details I should confirm with the guest beforehand.

For example, an episode about opening a neighborhood bakery could ask which assumption changed after the first month, then ask for the event that changed it. That is more specific than asking for five tips for entrepreneurs. Treat the route as preparation; leave room for a surprising answer to change the interview.

Keep factual checks separate from conversational questions. Confirm spelling, current role and any planned introduction before recording. A host should not discover during an introduction that a generated biography described the wrong person.

How can a prompt improve the episode structure?

Choose the listener’s destination before deciding segment order. Write what someone should understand by the closing minute, then ask which material supports that outcome. Give the assistant the notes you plan to use. Request transitions as host directions first, because a smooth sentence cannot repair a missing logical connection.

Build an episode outline from these approved notes.
Listener takeaway: [specific outcome]
Required segments: [list]
Return: opening question, segment goal, supporting note IDs, transition purpose and closing takeaway.
Mark any segment that lacks enough evidence. Suggest what I should cut before suggesting new material.
Write two possible host openings, using only supplied facts and no promises the episode cannot fulfill.

Read an outline aloud before recording. Check whether each segment earns its place and whether the listener needs a definition earlier. For a solo episode, write the most fact-sensitive passage in full and keep familiar explanations as speaking notes. For an interview, avoid scripting the guest’s half of the exchange.

Do a timed rehearsal of the host material instead of trusting an estimated duration in a generated outline. Your pauses, pronunciation and delivery determine how long it takes to say. Mark sections that repeat the same point, then ask which one best serves the episode’s central question. Cutting repetition usually makes room for a clearer example without creating a longer recording.

Keep a separate list of pickup lines to record after editing. A bridge written before the interview may refer to an answer the guest never gave. Final transitions should connect the segments you actually kept, using facts a producer has checked.

The wider production workflow belongs in ChatGPT for podcasters. Here, keep each saved prompt tied to one output you can review, such as a question route or a segment plan.

How do you repurpose an episode without changing its meaning?

Use a checked transcript of the final edit, not a rough transcript of a longer recording. Label speakers and preserve timestamps. Ask for a short description, a list of topics and candidate excerpts, each traceable to a passage. Keep direct quotations distinct from paraphrases and reject hooks that promise an answer the episode does not provide.

Apple Podcasts’ content guidelines↗ (opens in a new tab) require titles and descriptions to accurately represent the corresponding content. Treat that as a practical test for every suggested title: could a listener point to the promised discussion in the finished episode? A dramatic phrase is not worth a misleading promise.

Use only this checked transcript of the final edit.
Produce a two-sentence description, five topic bullets and three possible episode titles.
For every factual statement, provide a supporting timestamp in a separate review table.
Suggest two excerpts with exact start and end timestamps; reproduce quotes exactly.
Preserve caveats and speaker attribution. Do not invent resources, links or guest endorsements.
Transcript: [speaker-labeled text]

Listen to each proposed excerpt with the surrounding audio. A guest may state a view only to criticize it later, or qualify an answer after the selected clip ends. Save the show’s rules for excerpts in fenbs Decisions and rules so future sessions begin with the same editorial boundary.

What should you check before publishing?

Check the final audio against the transcript, then check the promotional material against that version. Correct names, specialist terms and speaker labels first. Ask an assistant to flag possible mismatches, but listen yourself when a transcription choice could change what a guest said. A summary should never silently repair an uncertain word into a confident claim.

Apple’s transcript guidance↗ (opens in a new tab) calls for supplied transcripts to include all segments and be free of spelling and punctuation errors. Keep a full transcript distinct from selected show notes. Shortening a transcript into a summary produces a different artifact, even when the summary is accurate.

• Does the title match what is actually discussed?
• Are quotations exact, attributed and in context?
• Are guest names and resource links checked by a person?
• Are sponsor messages and editorial statements clearly distinguished?
• Does every claimed takeaway survive a listen to the final edit?

Use system prompt examples to phrase repeatable checks, and keep those checks when changing tools after reading Claude vs. ChatGPT. A different assistant still needs the final approved material.

How to do this with fenbs?

Start with the recurring instructions, then add the work for one episode. You should be able to tell which material is approved and what still needs a listen without rereading a long conversation.

1. Create a free account and add a project for the show.
2. Save your tested interview and show-notes prompts in Skills and prompts, with the source labels each requires.
3. Record the host’s approved editorial boundaries in Decisions and rules. Add an episode task with the preparation and review steps.
4. Use Integrations to connect a supported assistant, then ask it to read the project context and the relevant prompt.
5. Save progress before stopping: which version was reviewed, which checks passed and which choice still needs a person.

fenbs does not edit audio or host your podcast. It is useful when reusable prompts, editorial choices and unfinished checks need to survive the next conversation; keep production files in your recording and publishing tools.