Why You Care
Tired of lengthy alignment meetings that end in confusion? What if you could turn a CEO's vague idea into a clickable prototype before the coffee gets cold? Anjan's AI-first approach to product development challenges every assumption about how product, engineering, and sales teams should collaborate. For product managers drowning in documentation and engineers frustrated by unclear requirements, this workflow offers a radical alternative that prioritizes speed and visual alignment over traditional processes.
What Actually Happened
Anjan Panneer Selvam has developed what might be the most streamlined product development workflow we've seen. As CPTO at Acolyte Health, he's collapsed traditional product cycles from months to minutes using a carefully orchestrated AI toolchain.
His process begins with something unexpected: a Limitless AI pendant that records all stakeholder conversations. During a recent CEO meeting about building a user journey mapping tool, Anjan captured the entire discussion automatically. Within 30 minutes, he had transformed the raw meeting transcript into a functional prototype.
The workflow moves through several AI tools in sequence. First, he feeds meeting transcripts into ChatGPT to create structured product requirements. Then he takes those requirements directly into Lovable or V0 to generate working prototypes. For market validation, he uses Perplexity for competitive research and Gamma for presentation creation. Finally, ChatGPT helps create comprehensive PRDs with future enhancement roadmaps.
Why This Matters to You
This approach fundamentally changes how product teams operate. Instead of spending weeks creating alignment through documents, Anjan creates alignment through interaction. His prototypes aren't just mockups—they're fully functional experiences that stakeholders can click through and provide immediate feedback on.
Consider the traditional path: CEO requests feature → PM writes PRD → Designer creates mockups → Engineering estimates complexity → Multiple review cycles → Maybe a prototype. Anjan's path: CEO mentions idea → AI generates prototype → Immediate stakeholder feedback → Refined requirements.
The impact extends beyond just speed. His team maintains what he calls a "living demo library"—a collection of interactive prototypes accessible to sales, customer success, and even the CEO. This eliminates the traditional bottleneck where sales teams wait for engineering resources to create demos, or customer success teams struggle to explain upcoming features.
Here's how his AI workflow benefits different teams:
Product Teams: Faster validation cycles and visual requirements that eliminate interpretation gaps Engineering: Clear functional specifications and reduced time spent on throwaway demo code
Sales: Self-service access to interactive demos for customer conversations Leadership: Immediate visibility into product concepts without waiting for formal presentations
The Surprising Finding
Perhaps the most counterintuitive aspect of Anjan's approach is his willingness to give every team access to prototype ideas. Traditional product wisdom says to guard roadmap items carefully, show only polished work to customers, and never let sales demo unfinished features.
Anjan flips this completely. His philosophy: "Wouldn't it be a great problem to have customers wanting to buy something so much that there's demand on our time to build it?" Rather than fear over-commitment, he embraces the validation that comes from customer excitement about prototype features.
This cultural shift extends to how he handles engineering pushback. When his team resisted building a mobile app due to lack of mobile developers, Anjan spent 10 minutes creating a functional iOS prototype using Repl.it. The goal wasn't to replace engineering judgment, but to demonstrate what's possible and eliminate the deadlock caused by unknown unknowns.
What Happens Next
Anjan's approach signals a broader shift in how product development might evolve. As AI tools become more sophisticated, the traditional boundaries between product management, engineering, and sales may continue to blur. We're likely to see more "CPTO" roles that combine product and technical leadership, enabled by AI tools that reduce the overhead of managing both functions.
For product managers, this suggests a future where success depends less on documentation skills and more on the ability to rapidly create and iterate on tangible experiences. Engineering teams may find themselves focusing more on production implementation and less on prototype development.
The most significant implication may be cultural. As Anjan puts it, "The goal here is not to say something is easy. It's more so to are we all aligned and can be more fast, which I think is the next superpower as all these tools come out." In an AI-enabled world, alignment speed—not just development speed—becomes the critical competitive advantage.
Anjan's website: https://www.anjanps.com
Episode: https://youtu.be/shqv90oAIkM?si=sMFxtuerPuFvu-X9