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How to turn meeting notes into prototypes that your sales team can immediately demo to customers

Anjan Panneer Selvam is the Chief Product and Technology Officer at Acolyte Health, where he’s pioneering the use of AI across the entire product development lifecycle. In this episode, he demonstrates how AI tools can dramatically accelerate alignment between stakeholders, reduce development time from months to minutes, and enable teams to validate ideas with customers before committing engineering resources. *What you’ll learn:* 1. How to transform meeting transcripts into interactive prototypes in under 30 minutes using ChatGPT, Lovable, and other AI tools 2. A step-by-step workflow for creating market analyses and competitive research in minutes instead of days 3. How to build a “living product library” that allows sales and customer success teams to demo prototypes to customers before engineering begins 4. Techniques for using AI to break deadlocks with engineering by demonstrating what’s possible without requiring technical expertise 5. Why AI enables faster stakeholder alignment by converting abstract ideas into tangible, interactive experiences 6. How to use ChatPRD to validate product requirements and ensure you’ve considered all critical aspects before engaging engineering *Brought to you by:* Notion—The best AI tools for work: https://www.notion.com/howiai Lovable—Build apps by simply chatting with AI: https://lovable.dev/ *Where to find Anjan Panneer Selvam:* LinkedIn: https://www.linkedin.com/in/anjanps/ *Where to find Claire Vo:* ChatPRD: https://www.chatprd.ai/ Website: https://clairevo.com/ LinkedIn: https://www.linkedin.com/in/clairevo/ X: https://x.com/clairevo *In this episode, we cover:* (00:00) Introduction to Anjan (02:36) How AI changes the relationship between product and engineering (04:08) Workflow for converting stakeholder ideas into prototypes (08:50) Using the Limitless pendant to capture meeting transcripts (12:45) Creating interactive prototypes with Lovable (15:57) Benefits of using prototypes instead of documentation (19:07) Conducting market research with Perplexity (21:45) Creating presentation decks with Gamma (23:08) AI doesn’t replace PMs; it elevates them (25:05) Using ChatPRD to validate product requirements (29:10) Building a living product library for sales and customer success (35:50) Breaking deadlocks with engineering using Rork for mobile prototypes (39:00) Takeaways for building with AI (42:34) Cultural implications of AI in product development (45:20) Strategies for when AI doesn’t give you what you want *Tools referenced:* • ChatGPT: https://chat.openai.com/ • Lovable: https://lovable.dev/ • Limitless: https://www.limitless.ai/ • Perplexity: https://www.perplexity.ai/ • Gamma: https://gamma.app/ • ChatPRD: https://www.chatprd.ai/ • Rork: https://rork.com/ • v0: https://v0.dev/ • Magic Patterns: https://www.magicpatterns.com/ *Other references:* • React Flow: https://reactflow.dev/ • Figma: https://www.figma.com/ • Acolyte Health: https://acolytehealth.com/ • Meta Ray-Ban glasses: https://www.ray-ban.com/usa/ray-ban-meta-ai-glasses _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email jordan@penname.co._

Anjan Panneer SelvamguestClaire Vohost
Sep 1, 202548mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Use AI transcripts to build demos, decks, and PRDs faster

  1. Anjan Panneer Selvam (CPTO at Acolyte Health) explains how he captures stakeholder conversations (sometimes via a wearable recorder) and converts raw transcripts into structured prompts for rapid prototyping.
  2. He uses tools like ChatGPT plus prototype builders (e.g., Lovable/v0) to create interactive, high-fidelity demos in minutes—reducing long documentation cycles and accelerating stakeholder alignment.
  3. He then layers in AI market research (Perplexity), presentation creation (Gamma), and requirements validation (ChatPRD) to pressure-test ideas before engineering execution.
  4. A key theme is cultural: AI doesn’t replace PMs/engineers; it shifts teams toward faster alignment, clearer communication, and broader access to prototypes across sales, CS, and leadership.

IDEAS WORTH REMEMBERING

5 ideas

Meeting transcripts can become the new source material for product artifacts.

Instead of relying on memory or manual notes, Anjan records stakeholder discussions (e.g., CEO meetings) and pastes transcripts into ChatGPT to extract structured prompts and next-step outputs.

Interactive prototypes are faster—and often clearer—than traditional documentation.

For complex logic-heavy builders (journey/rules/workflow tools), clicking through a prototype surfaces gaps more naturally than reading multi-page PRDs and enumerating permutations.

Use ChatGPT to normalize “product sense” into structured prompts for builder tools.

Anjan starts with a natural-language brain dump, then asks ChatGPT to produce a Lovable/v0-ready prompt that includes UI patterns and interaction details.

Iterate in layers: start broad, then add specific implementation hints.

He begins with a basic prototype prompt, then progressively injects details (e.g., naming a library like React Flow) to help the prototyping tool implement the right approach.

AI research is most useful when explicitly asked to be skeptical.

Because models tend to be optimistic, he adds follow-ups like “play devil’s advocate” to get pro/cons and reasons to say no—often killing weak ideas quickly.

WORDS WORTH SAVING

5 quotes

At the end of this... I have a fully functional now drag-and-drop canvas builder... and the goal here is not to say something is easy. It's more so to, are we all aligned and can be move fast.

— Anjan Panneer Selvam

Now, we're moving from, 'Oh, let's spend a week aligning,' to, 'Here's the alignment,' in less than 30 minutes to an hour.

— Anjan Panneer Selvam

There are more features that AI has helped me say no to... It's done in an hour, and now you can... more freely say no to things.

— Anjan Panneer Selvam

I think people are so afraid of preserving product energy and engineering energy, that they forget that those are... rich people problems.

— Claire Vo

Nothing to displace good old production-resilient code and processes, but this is all before that.

— Anjan Panneer Selvam

CPTO role and product/engineering “blur” via AITranscript capture with Limitless PendantPrompt-to-prototype workflow (ChatGPT → Lovable/v0)Interactive prototypes as alignment artifacts vs long docsAI-assisted market research (Perplexity) + devil’s advocate promptsDeck generation for stakeholder buy-in (Gamma)PRD validation gates with ChatPRDLiving demo/prototype library for sales and customer successBreaking engineering deadlocks via mobile prototyping (Rork)Handling AI failure modes: tool switching, breaks, patienceOrganizational/cultural implications: openness, speed, alignment

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