One of the funniest parts of B2B product management is everyone is hiding things from sales (and hiding from the CEO.) This episode of How I AI turns all that completely on its head: with Anjan Panneer Selvam showing us how he takes MORE ideas from his CEO & gives early demos to sales... before anything is even built.
Anjan isn't just using AI; he's fundamentally rethinking how his team collaborates, builds, and validate products. In the process, I think he sets a new model for transparency and collaboration, especially between PMs and sales.
We explored three distinct AI-driven workflows Anjan employs at Acolyte Health. These are incredibly impactful for product managers, CEOs, and anyone involved in bringing a product to market.
Workflow 1: Transforming Stakeholder Ideas into Interactive Prototypes in Minutes
The first workflow focuses on rapidly transforming a high-level idea from a stakeholder (often the CEO) into a functional prototype. This eliminates the time-consuming back-and-forth typically involved in product development and the painful process of translating vague ideas into concrete specifications.
Anjan starts by capturing the initial idea, often during a meeting, using the Limitless pendant. This wearable AI recording device captures the conversation in real-time, generating a transcription that Anjan then leverages.
Step 1: Capturing the Idea
Anjan uses the Limitless pendant to record stakeholder discussions, ensuring a complete record of the initial idea in natural language. He calls out that the devie is less intrusive and easier to plug in than the typical meeting recorders.
Step 2: Refining the Prompt with ChatGPT
Anjan then inputs this transcription into ChatGPT, refining the initial concept into a structured prompt. A typical prompt might look 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
The refined prompt is then fed into Lovable, an AI-powered prototyping tool. Lovable automatically generates an interactive prototype based on Anjan’s initial input, often suggesting additional features and improvements based on its understanding of 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
Anjan demonstrates a fully interactive drag-and-drop workflow builder that can model complex user journeys.
This prototype speeds up his ability to align stakeholder and allows for real-time feedback and adjustments from customers. A great way to make sure he's building the right thing, not just building.
Workflow 2: Rapid Market Research and Competitive Analysis with Perplexity
The second workflow leverages AI to conduct thorough market research and competitive analyses. The time saved here is significant, helping him prove the market pull of his idea.
This workflow starts with using the same prompt refined in Workflow 1. Anjan uses this to generate a high-level description of the product and its target market.
Step 1: Using Perplexity for Deep Research
Anjan then uses Perplexity to conduct a rapid market analysis. He inputs a prompt providing context about the product, customer segments and related information. The AI then generates a comprehensive market analysis, including information on competitors, market size, and potential growth opportunities.
Step 2: Creating Presentation-Ready Slides with Gamma
The market analysis generated by Perplexity is then used to build a compelling presentation. Anjan uses Gamma to generate clean, professional slides containing relevant data and insights from the market analysis. These slides are readily shareable with stakeholders and provide a clear picture of the product’s potential and market viability.
Use these tools to get alignment and approval
This workflow help Anjan do the heavy lifting of proving that his product is not only easy to build, it's worth building. Anjan calls out that AI can help teams gain early conviction and avoid wasting time on ideas that may not be commercially viable.
Workflow 3: Building a Living Product Library for Customer Validation
The third workflow creates a dynamic “living product library” of functional prototypes and demos to quickly get feedback from customers and break any deadlocks with the engineering team. This is my favorite part of the whole episode!
An open AI prototype library helps him create an environment where prototypes are easy for anyone to access, especially sales and customer succes. This helps him scale early customer feedback, validating product directions without writing a single line of code.
Step 1: Building Mobile Prototypes with Rork
Finally, Anjan showed us how AI can unblock teams stuck on technical challenges. When facing a deadlock with the engineering team over building a mobile application (they had never built a mobile app before, and weren't sure they could technically execute the vision), Anjan utilized Rork to create a mobile prototype showing what they were trying to achieve.
The tool allowed him to rapidly construct a functional app that demonstrates the product’s core functionality without requiring extensive coding.
In this case, he generated an app capable of capturing selfies and facial recognition, which gave engineering some good ideas on how to move forward and unblocked the project.
B2B product management is changing
Anjan’s AI-powered workflows offer a radical departure from traditional B2B PM workflows. His focus is on rapid alignment, quick iteration, and getting things to the customer quickly--not "managing expectations" or "avoiding over promising."
My takeaway from this ep is that the cultural implications are as significant as the technical ones. A more open and collaborative approach to B2B product development helps everyone.
Promise: sales and your CEO aren't that scary.
Sponsor Thanks
This episode is brought to you by: