How I AI: Anjan Panneer Selvam and a new model of B2B product management

It's a funny truth in B2B product management that we often hide things from sales (and maybe from the CEO, too). This episode of How I AI flips that script. Anjan Panneer Selvam shows us how he actually takes more ideas from his CEO and gives early demos to sales... before a single thing is built.

Anjan is using AI to completely rethink how his team collaborates, builds, and validates products. In the process, he's creating a new model for transparency and collaboration, especially for how product managers and sales teams work together.

Anjan walked us through three of his AI-powered workflows at Acolyte Health. They're a huge help for product managers, CEOs, or really anyone who's part of bringing a product to life.

Workflow 1: Transforming Stakeholder Ideas into Interactive Prototypes in Minutes

The first workflow is all about taking a high-level idea from a stakeholder (like the CEO) and turning it into a working prototype, fast. It cuts out all the usual, painful back-and-forth of trying to translate a vague concept into exact specs.

Anjan starts by capturing the initial idea right as it happens in a meeting, using the Limitless pendant. This wearable AI recorder captures the conversation, generating a transcript that Anjan can work with.

Step 1: Capturing the Idea

Anjan uses the Limitless pendant to record stakeholder discussions, so he has a perfect, natural-language record of the initial idea. He mentioned that the device is less intrusive and easier to use than a typical meeting recorder.

Step 2: Refining the Prompt with ChatGPT

He then takes that transcription and puts it into ChatGPT to help refine the raw idea into a more structured prompt. A typical prompt might look something like this:

"A single page canvas, user facing tool, map out personalized workflows."

Note this prompt isn't super complicated (even though the feature is.)

Step 3: Prototyping with Lovable

He takes that refined prompt over to Lovable, an AI prototyping tool. Lovable gets to work and generates an interactive prototype from his prompt. It even suggests extra features and improvements based on its knowledge of product best practices. Anjan specifically mentioned using React Flow for canvas-based components.

The result? A fully functional, interactive prototype in a fraction of the time it would normally take.

Results and Outcomes

The result he showed us was a fully interactive drag-and-drop workflow builder that could map out complex user journeys.

This kind of prototype helps him get everyone on the same page quickly and lets him get real-time feedback and adjustments from customers. It’s a great way to make sure you're building the right thing from the start.

Workflow 2: Rapid Market Research and Competitive Analysis with Perplexity

Anjan's second workflow uses AI for deep market research and competitive analysis. The time he saves here is huge, and it helps him quickly prove that an idea has real market potential.

He starts with the same prompt he refined in the first workflow, using it to create a high-level description of the product and who it's for.

Step 1: Using Perplexity for Deep Research

Next, he uses Perplexity for a quick market analysis. He gives it a prompt with some context about the product and its customers, and the AI comes back with a full market analysis—competitors, market size, growth opportunities, the works.

Step 2: Creating Presentation-Ready Slides with Gamma

He takes that market analysis from Perplexity and uses it to build a presentation. With Gamma, he can quickly generate clean, professional slides filled with the data and insights from his research. These are perfect for sharing with stakeholders to give them a clear picture of the product's market potential.

Use these tools to get alignment and approval

This workflow does the heavy lifting of proving an idea is worth building, not just easy to build. As Anjan points out, AI can help teams find that early conviction and stop them from wasting time on ideas that just aren't going to work in the market.

Workflow 3: Building a Living Product Library for Customer Validation

The third workflow is about creating what Anjan calls a "living product library"—a collection of working prototypes and demos he can use to get fast feedback from customers or break deadlocks with his engineering team. This was my favorite part of the whole episode!

Having an open library of AI prototypes means anyone, especially people in sales and customer success, can easily access them. This is how he scales early customer feedback and validates product ideas without anyone having to write a single line of code.

Step 1: Building Mobile Prototypes with Rork

Finally, Anjan showed us how AI can get a team unstuck. His engineering team hit a deadlock on building a mobile app—it was their first one, and they weren't sure they could pull off the vision. So Anjan used Rork to create a mobile prototype that showed exactly what they were trying to achieve.

The tool let him build a functional app that showed off the core features, all without needing deep coding knowledge.

In this case, he built an app that could take selfies and do facial recognition. Seeing it in action gave the engineering team some concrete ideas for how to move forward, and the project was unblocked.

B2B product management is changing

Anjan’s way of working with AI is a huge shift from the typical B2B product workflow. He's focused on getting everyone aligned quickly, iterating fast, and getting things in front of customers—not just "managing expectations" or "avoiding over-promising."

My biggest takeaway from this episode is that the cultural shift here is just as important as the technical one. A more open, collaborative way of building B2B products is better for everyone.

And I promise: your sales team and your CEO aren't that scary.

Sponsor Thanks

This episode is brought to you by:

• **Notion**: The best AI tools for work
• **Lovable**: Build apps by simply chatting with AI

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