How to turn meeting notes into prototypes that your sales team can immediately demo to customers
Anjan Panneer Selvam (guest), Claire Vo (host)
In this episode of How I AI, featuring Anjan Panneer Selvam and Claire Vo, How to turn meeting notes into prototypes that your sales team can immediately demo to customers explores use AI transcripts to build demos, decks, and PRDs faster 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.
Use AI transcripts to build demos, decks, and PRDs faster
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.
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.
He then layers in AI market research (Perplexity), presentation creation (Gamma), and requirements validation (ChatPRD) to pressure-test ideas before engineering execution.
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.
Key Takeaways
Meeting transcripts can become the new source material for product artifacts.
Instead of relying on memory or manual notes, Anjan records stakeholder discussions (e. ...
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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.
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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.
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Iterate in layers: start broad, then add specific implementation hints.
He begins with a basic prototype prompt, then progressively injects details (e. ...
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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.
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A PRD-focused “gate” prevents generic AI output from becoming false certainty.
He uses ChatPRD as a validation layer that asks missing questions and checks edge cases, creating a concise, engineering-ready PRD rather than a vague narrative.
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A living demo library changes sales/CS enablement and roadmap transparency.
By deploying prototypes as bounded microsites, sales and customer success can demo safely (no broken Figma links/404s) and capture real-time customer feedback without engineering support.
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Prototypes help resolve engineering stalemates by proving possibility—not replacing engineering.
In a mobile-app deadlock (no mobile devs), he used Rork to generate a functional prototype to explore feasibility, framing it as a starting point for production planning.
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Speed is the meta-advantage: alignment becomes the “superpower.”
The goal isn’t claiming production is easy; it’s compressing uncertainty and debate so teams can align quickly, then build with more precision.
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When AI stalls, change tactics instead of brute-forcing prompts.
His playbook: take a break, switch to a broader tool/workspace (e. ...
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Notable 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
Questions Answered in This Episode
What exact prompt structure do you use to turn a raw transcript into a Lovable/v0-ready spec (sections, constraints, acceptance criteria)?
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.
Get the full analysis with uListen AI
How do you decide when a prototype is “high-fidelity enough” to show customers versus still too misleading or brittle?
He uses tools like ChatGPT plus prototype builders (e. ...
Get the full analysis with uListen AI
In the living demo library, how do you label prototypes (status, confidence, ETA) to prevent sales from over-committing?
He then layers in AI market research (Perplexity), presentation creation (Gamma), and requirements validation (ChatPRD) to pressure-test ideas before engineering execution.
Get the full analysis with uListen AI
What disclosure/consent workflow do you follow when using the Limitless Pendant in stakeholder and customer conversations?
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.
Get the full analysis with uListen AI
When Perplexity’s research conflicts with your product intuition (or CEO demand), what’s your decision framework?
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Transcript Preview
now, that's a high-stakes meeting. They want something in their mind. Most product-led or more sales-led CEOs are very clear in terms of what they want.
You wore this AI recording device in your meeting with your CEO, basically recorded this meeting. Then you're just taking the transcript of that meeting, and you are pasting it into ChatGPT to generate this prompt.
At the end of this, you know, I have a fully functional now drag-and-drop canvas builder that could build a full entire user journey, 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, which I think is the next superpower as all these tools come out, and what could be possible?
[upbeat music] Welcome back to How I AI. I'm Claire Vo, product leader and AI obsessive, here on a mission to help you build better with these new tools. Today, I have an episode that's both going to inspire product managers and CEOs and maybe strike some fear in the heart of product managers and engineers. I'm speaking to Anjan Panneer Selvam, CPTO of Acolyte Health, who is using AI in every stakeholder interaction, giving customers access and free rein to all the prototypes on their roadmap, and solving debates with engineering by building products. This is a fun episode. It tells us a lot about both tools and culture, and I think it's a must-listen for product engineering and startup executives out there. Let's get to it. This episode is brought to you by Notion. Notion is now your do-everything AI tool for work. With new AI meeting notes, enterprise search, and research mode, everyone on your team gets a note-taker, researcher, doc drafter, brainstormer. Your new AI team is here, right where your team already works. I've been a longtime Notion user, and have been using the new Notion AI features for the last few weeks. I can't imagine working without them. AI meeting notes are a game-changer. The summaries are accurate, and extracting action items is super useful. For stand-ups, team meetings, one-on-ones, customer interviews, and, yes, podcast prep, Notion's AI meeting notes are now an essential part of my team's workflow. The fastest-growing companies like OpenAI, Ramp, Vercel, and Cursor all use Notion to get more done. Try all of Notion's new AI features for free by signing up with your work email at notion.com/howiai. Anjan, welcome to How I AI.
Thank you so much, Claire. Very happy to be here. Uh, big fan of everything that you do, and, uh, also a big user of ChatPRD, so really thanks for putting it out there and helping a lot of us.
Well, what I really like is you and I have something in common, which is we have this fairly rare but more common title, CPTO, thinking and caring for the product and engineering organizations. And before we dive into your use cases, I'm curious how that specific point of view has really changed how you think about AI or how you've adopted AI inside your startup.
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