ChatGPT for podcast producers on Mac, with Lazur: show notes, titles and guest research

Who uses ChatGPT for podcasts, and for what

Producers already use AI in production, and ChatGPT leads the tool list. Podigee surveyed 384 podcast producers, and about 50.4% already use AI tools in their production. Among those users, 71.5% use AI at least once a week.

Podigee runs that survey and does not publish its method or dates, so read the numbers as direction, not proof. The same survey says ChatGPT is the most popular AI tool, at 69.1%. It also says more than 51% of respondents still consider themselves beginners.

Most ChatGPT work on a podcast is text work. Producers paste a transcript and ask for show notes, episode titles, guest research, interview questions, social posts or a first-draft script. Most of those jobs start once you have words on the page.

ChatGPT cannot hear your episode, so start with a transcript

ChatGPT cannot listen to your episode. Cleanvoice says it does not directly handle audio files, and it tells users to attach a transcript instead. Ausha says it cannot listen to your audio at all.

That changes what you prepare before you open the app. You need a clean text file of the episode with the right speaker names. A transcript that says Speaker 1 and Speaker 2 forces ChatGPT to guess who said what. Fix the names first. Fixing names takes less time than untangling a wrong summary.

Long episodes need a plan too. A community post quoting OpenAI's file upload FAQ gives 512 MB per file and 2M tokens per text file. It also lists three uploads per day for free users. That post is dated April 21, 2025, and OpenAI's own FAQ did not open during research, so check the current limit in ChatGPT's help.

Set up the new ChatGPT Mac app for podcast work

OpenAI launched a new ChatGPT desktop app for Mac in July 2026. It combines Chat, Work and Codex in one window. The older app was renamed ChatGPT Classic and remains supported, according to 9to5Mac.

At launch, regular chat sat behind a less prominent button. That button opened a floating window with no access to chat history or Projects. A later fix added a Chat and Work toggle at the top of the window, plus a sidebar dropdown for ChatGPT or Codex. 9to5Mac still calls the interface confusing.

For podcast work, stay on Chat. Check the toggle at the top before you start, and confirm your Projects appear in the sidebar. If they do not, switch the toggle first, then look again.

• Open the new ChatGPT app and select Chat at the top of the window.
• Confirm your Projects show in the sidebar before you paste anything.
• Create one Project for each show and name it after the show.
• Paste your show description into the Project instructions, or at the top of each new chat.
• Keep the transcript and the output in the same chat, so the answers stay tied to the source.

Option+Space and the Mini panel: test before you rely on it

A third-party guide says the new app's Mini panel registers Option+Space globally on macOS by default. It also says ChatGPT Classic keeps its Chat Bar on Option+Space. The same guide cites an open issue reporting that some builds from version 26.924 lack the Show Mini entry.

Test this yourself. Press Option+Space in a text editor and see which panel opens. If nothing opens, look for the ChatGPT entries under System Settings > Keyboard > Keyboard Shortcuts, and check for conflicts with other apps. Treat the guide as a lead, not a guarantee.

Write prompts that a transcript can answer

A good prompt gives the model four things: the show, the source, the job and the output. The Podcast Host found that adding a description of the whole podcast noticeably improved relevance. Start with two sentences about your audience and tone, then add the job.

Paste the transcript below the instructions, not above them. That keeps the instructions at the top of the chat, where you can find and reuse them. Ask for one output at a time. Five outputs in one prompt tends to give five thinner answers.

• Show: name, audience and tone in two sentences.
• Source: the transcript with speaker names, pasted after the instructions.
• Job: one verb, such as summarize, list, rewrite or draft.
• Output: length, format and anything to leave out.
• Check: ask ChatGPT to flag any claim it cannot find in the transcript.

Ausha's example prompt is short: summarize this transcript in 100 words with SEO keywords. It names the length and the goal. Add the show details and the check line, and the answer becomes much easier to use.

Show notes and chapter markers from a transcript

Ausha lists show notes from a transcript among the uses it recommends for podcasters. Ask for them in separate passes. First, a summary of about 100 words. Second, chapter markers with timestamps. Third, a list of links the host or guest mentioned, marked as stated in the episode.

The timestamp pass is where things go wrong. A transcript without timestamps gives ChatGPT nothing to count from, so it may invent them. Add a line to the prompt: if a timestamp is missing, write MISSING and do not guess. Then check every chapter against the transcript.

Long interviews work better in halves. Split the transcript at a natural break, ask for chapters in each half, and merge the lists yourself. You keep the timestamps tied to the right section, and gaps show up quickly.

Episode titles and descriptions that match the episode

Titles are the easiest prompt to write and the easiest to get wrong. The Podcast Host lists a prompt that asks ChatGPT for ten potential episode titles. Keep that shape, then add two limits. Each title must match something said in the episode, and no title may promise a result the guest did not discuss.

• A title that promises a number the guest never gave.
• A description that uses a job title you have not checked.
• Search keywords stuffed into a title until it reads like an ad.
• Three title options that all say the same thing.

Ask for two groups of titles. One group is plain and factual. The other has a sharper hook. Use the plain group when the guest is careful about claims, and the hook group when the topic is already public.

Guest research without invented sources

This is where ChatGPT makes its most expensive mistakes. The Podcast Host warns that ChatGPT sometimes cites sources that do not exist. It also says the free GPT-3.5 tier cannot browse the web. Check which model you are using before you ask for recent facts.

Run research in two passes. First, ask for a list of the guest's public work, such as books, talks and articles. Ask ChatGPT to rate how sure it is for each item. Second, open every item yourself. Keep only what you can read on a page you opened.

Guest bios need the same care. Draft from the guest's own website or bio sheet, not from memory. Send the final version to the guest for approval. A short bio you checked beats a long one you did not.

Interview questions and show prep

Cleanvoice lists interview prep among the tasks where ChatGPT helps. Paste the guest's article, book chapter or talk transcript. Then ask for questions that cannot be answered with yes or no. A question that needs a story gets a better answer than one that needs a fact.

• Where the guest's work started, in their own words.
• A mistake they made, and what changed afterward.
• A claim from their public writing that you want them to defend.
• One specific example they can name, with a place, a date or a figure.

Read the list out loud. Cut any question you would not ask a friend at dinner. Keep your own follow ups for the room, since the best follow up depends on what the guest just said.

Social posts and promotion copy

Social copy is a common producer job. Podigee's survey lists marketing among the tasks where producers use AI, at 43.7%. Ask ChatGPT for three versions per platform, each with a different hook and one clear reason to listen.

Give the model an approved episode summary, not the raw transcript. Ask it to avoid quotes you did not paste. Then rewrite the first line yourself. Your voice carries the show, and ChatGPT only gives you options to choose from.

Scripts and first drafts for intros and cold opens

Ausha lists script first drafts among ChatGPT uses for podcasters. Use it for the parts you write once and read aloud, such as a cold open, a sponsor break or a segment intro. Do not use it to script a full interview. Real talk sounds different from a draft.

Give the model the episode's three points, your tone rules and a target length. Ask for three short openings. Read each one aloud and time it on your phone. Cut the one that sounds like a press release, and keep the one you would say to a friend.

Where producers use AI: the task split

Podigee asked producers where they use AI. Post-production came first, at 63.4%. Scriptwriting and research came next, at 46.7%. The survey is vendor-run and undated, so read the bars as a direction, not a measurement.

The top task in that survey is post-production, which is audio work. ChatGPT helps after the audio step, when you have text to work with. Use audio tools for the sound and ChatGPT for the words around it.

Inputs and checks for five common producer jobs

Podigee's ChatGPT connector, if your show hosts there

Podigee announced a ChatGPT and Claude connector on October 26, 2026. Podnews reports that it can search what was said across a show, with episode and timestamp. It can write titles, descriptions, show notes, chapter marks and keywords for one episode or up to 50 in one request.

The connector can also create drafts, and schedule or publish. It comes with every current Podigee plan, starting with the free Launch plan. Importing a podcast by RSS needs a paid plan. No source checked for this page confirms that it works inside the Mac app, so test it on one episode first.

Mistakes producers make with ChatGPT on Mac

• Pasting a transcript with no speaker names, so the summary blurs who said what.
• Asking for timestamps the transcript does not contain, then trusting the answer.
• Accepting a source that ChatGPT gave without opening it first.
• Pasting a very long episode in one message, then reading only the end of the answer.
• Skipping the edit and publishing text that sounds like a machine wrote it.
• Pasting unreleased guest material before checking your account's data settings.

Each mistake moves the cost to the end, when you check the output. Build the check into the prompt, and the answer arrives closer to ready. You still do the final read.

Where Lazur fits when you work in ChatGPT

Lazur is a voice assistant for the Mac that lives in the notch. Hold ⌥⌘ to ask about anything on your screen. Lazur sees the window, points at things and answers out loud. It does not click buttons or operate ChatGPT for you.

That helps with the small stops that slow an episode down. Ask where the Chat toggle is, and Lazur circles it on your screen with a label. Ask how to attach a transcript, and Lazur guides you one click at a time, waiting for each click before it moves on. You still paste, send and approve.

Hold fn to dictate at the cursor in any app. A long instruction can be quicker to speak than to type, and the text lands in the ChatGPT box as clean text. Snippets, a personal dictionary and clipboard slots help with names you type often.

Privacy works like this. Lazur listens and looks at the screen only while you hold the shortcut. Audio and the screenshot go to AI providers to answer, and they are not stored. Content is never used to train AI models.

Check every output before it goes public

Treat each ChatGPT answer as a fast first draft. It may be right, and it may be confident and wrong. Check names, numbers, dates, titles and links against the transcript or a source you opened. Then read the tone against your last few episodes.

• Names and job titles match the guest's own bio.
• Every number traces to a page you opened.
• Every timestamp exists in the transcript.
• Every link opens to the page you expected.
• The text sounds like you when you read it aloud.

A first week with ChatGPT for your show

1. Create a Project for your show and paste the show description into it.
2. Run one past episode through a 100-word summary, then compare it with your own summary.
3. Save one title prompt in a note, and reuse it for every episode.
4. Run guest research on one guest, and open every link before you trust it.
5. Write down each mistake you catch, and add a line to the prompt that stops it.

Do these in order. The first summary shows where the transcript is weak. The guest research pass shows where ChatGPT invents sources. Each lesson goes back into your prompts, and the prompts get shorter over time.