AI app for creatives · no coding needed
Podcast guest research and episode prep workspace
Reduce episode preparation time while keeping the host's editorial judgment.
Made for: Podcasters and producers preparing guest interviews
What it does for you
The problem
Guest research, question writing and episode prep are scattered across several subscriptions, so producers rebuild the same context for every episode.
What it gives you
Host-approved research briefs, question sets and episode outlines
What you give it
Guest background materialprior episodeshost notes
Build your own version of GuestLab, PodPrep and more
One app with what these 3 AI tools do, yours to keep and change: GuestLab, PodPrep, PodExtra AI.
Everything these tools do, in one app
- Guest research Gathers background information and insights about interview guests.Found in GuestLab, PodPrep, PodExtra AI
- Question generation Creates tailored interview questions based on the guest's background and expertise.Found in GuestLab, PodPrep, PodExtra AI
- Guest introductions Automatically generates personalized introductions for guests.Found in GuestLab, PodPrep
- Topic brainstorming Suggests engaging discussion topics for the interview.Found in GuestLab, PodPrep
- Content summarization Distills lengthy podcast content into key takeaways.Found in PodExtra AI
- Transcript creation Produces accurate transcripts with speaker differentiation.Found in PodExtra AI
- Mind maps and outlines Visualizes episode structure and core ideas for easier organization.Found in PodExtra AI
- LinkedIn profile analysis Analyzes guests' LinkedIn profiles to uncover hidden angles.Found in GuestLab
- Topic expansion Expands initial topics into thought-provoking questions.Found in GuestLab
- 4-step preparation workflow Guides users through crafting introductions, compiling insights, brainstorming topics, and formulating questions.Found in PodPrep
- Episode preparation organization Organizes and structures all episode preparation in one platform.Found in PodPrep
- User-friendly interface Requires minimal learning curve for new users.Found in PodPrep
- Free launch version Provides core functionalities at no cost for individual podcasters and small teams.Found in PodPrep
How it works, step by step
- Gather guest background from supplied sources
- Analyze guest profiles for hidden angles
- Generate tailored interview questions
- Expand initial topics into follow-up questions
- Draft personalized guest introductions
- Brainstorm engaging discussion topics
- Summarize long source material into key takeaways
- Produce speaker-differentiated transcripts
- Build mind maps and episode outlines
- Guide a four-step prep workflow
- Organize all episode preparation in one workspace
- Compare revised questions against locked facts and episode sequence
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned host-approved prep pack with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Podcast guest research and episode prep workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Podcast guest research and episode prep workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links3 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare24 KB
- prompt-vps.mdThe same build on your own server (Docker)24 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria11 KB
- demo/index.htmlThe working demo on sample data200 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce episode preparation time while keeping the host's editorial judgment. For podcasters and producers preparing guest interviews, convert guest background material, prior episodes and host notes into host-approved research briefs, question sets and episode outlines. The benefit is a testable hypothesis, measured through accepted episode prep hours per published episode and corrections after recording; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect guest background material, prior episodes and host notes, then follow this sequence: 1. Gather guest background from supplied sources. 2. Analyze guest profiles for hidden angles. 3. Generate tailored interview questions. 4. Expand initial topics into follow-up questions. 5. Draft personalized guest introductions. 6. Brainstorm engaging discussion topics. 7. Summarize long source material into key takeaways. 8. Produce speaker-differentiated transcripts. 9. Build mind maps and episode outlines. Resolve uncertain cases with qualified reviewers, approve host-approved research briefs, question sets and episode outlines, and measure accepted episode prep hours per published episode and corrections after recording against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed episode format and licensed source set; final question selection and editorial checks remain with the host. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve guest voice, source attribution, quotation accuracy and usage permissions. Hosts approve substantive changes and publication scope. One fixed episode format and licensed source set; final question selection and editorial checks remain with the host. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed episode format and licensed source set; final question selection and editorial checks remain with the host. Implement one approved input format, a bounded representative case set and the first two task modules: gather guest background from supplied sources; analyze guest profiles for hidden angles. Support the remaining modules with operator review: generate tailored interview questions; expand initial topics into follow-up questions; draft personalized guest introductions; brainstorm engaging discussion topics; summarize long source material into key takeaways; produce speaker-differentiated transcripts; build mind maps and episode outlines. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Host-owned notes, authorized guest material and permitted research sources. Cloud asset storage, audio-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Guest and source intake, Editable episode prep workspace, Host review and delivery. Use a thumbnail gallery for episodes, a large central editing canvas, and a right-hand panel for guest sources, constraints and comments. Let users compare question versions side by side. Display draft, changes requested and approved states. Provide a host preview link with comments anchored to the relevant question or segment. Make the task-specific outcome host-approved research briefs, question sets and episode outlines visible beside its evidence, review state and value baseline.
