Building an AI Product with AIPA CoFounder Tan Biswas & his Team

Inside Peak at AIPA

The landscape of entrepreneurship is undergoing a massive shift as artificial intelligence lowers the barrier to entry for creators everywhere. In a recent episode of the Retention Venture Podcast, host Lucas sat down with Tan Biswas, the Chief Revenue Officer of the AI Product Accelerator, to talk about how we are helping corporate professionals transition from the 9-to-5 grind to the world of tech building. By focusing on a high-touch, mentorship-driven model, Tan and his team are taking domain experts from a simple “what if” idea to a validated, market-ready AI product in under 90 days. It’s a powerful reminder that you don’t need a computer science degree to solve real-world problems with technology; you just need the right framework and the courage to start.

A New Kind of Accelerator

When we think of accelerators, we often imagine massive cohorts and pre-recorded video lessons. However, Tan Biswas and the team at the AI Product Accelerator are doing things differently. “We’re not a course; we’re a mentorship-driven accelerator,” Tan explains. The program is specifically designed for “domain experts”—people who have spent years in specific industries like healthcare, finance, or sales. These individuals deeply understand the “pain points” of their fields but often feel stuck because they don’t have a technical background. Tan’s mission is to give them the confidence and the tools to bridge that gap.

The 90-Day Sprint: From Concept to Customer

The heart of the accelerator is its structured 90-day framework. Through 1-on-1 coaching and technical guidance, Tan helps founders move at a pace that used to be impossible for non-developers. A huge part of this speed comes from the “democratization of tech.” Tan highlighted tools like Lovable as total game-changers, describing them as “having a small engineering team in your back pocket.” These tools allow founders to prototype, map out workflows, and build an MVP (Minimum Viable Product) without needing to hire a CTO or raise millions in funding.

Fulfillment Over Hype: The Metrics that Count

In an industry often obsessed with “vanity metrics” like social media impressions or email sign-ups, Tan is a breath of fresh air. He focuses on what he calls “behavioral aspects” to measure a founder’s success. To Tan, the real signs of a winner are:

• Active Engagement: Are they showing up to coaching calls ready to dive in?

• Real-World Validation: Have they actually picked up the phone to talk to a potential user?

• Speed of Execution: Are they hitting their prototype milestones on time? By focusing on these actions, the accelerator ensures that founders are building something people actually want, rather than just building in a vacuum.

The “Identity Shift” from Employee to Builder

One of the most moving parts of the conversation was when Tan shared his personal journey. Having retired from a successful corporate sales career at Oracle, he knows firsthand how scary it is to leave the security of a paycheck. He argues that the biggest hurdle for most people isn’t a lack of tactics—it’s a lack of a “builder mindset.”

“Our mentees need a shift in identity from corporate employee to builder,” Tan noted. He believes his job is to push people a little harder than they expect, not to stress them out, but to show them exactly what they are capable of achieving when they stop thinking like an employee and start thinking like an owner.

Using AI to Build AI

Tan also gave us a peek behind the curtain at how the accelerator itself uses technology. They aren’t just teaching AI; they are living it. By using AI to analyze onboarding data and create personalized learning paths, Tan and his mentors can see exactly where a founder might be struggling. This allows for “just-in-time” intervention, making the mentorship feel incredibly tailored and human, even as the program scales.

Final Takeaway: Clarity Follows Action

Tan left the audience with a powerful piece of advice: Stop waiting for “perfect clarity” before you start. In his experience, clarity isn’t something you find in a book or a research paper—it’s something you define through action. “The clarity will never come unless you take action,” Tan summarized. Whether you’re looking for financial freedom or just want to solve a problem you’ve seen for years, there has never been a better time to jump in. The AI wave is here, and as Tan proves, the best way to ride it is to start building.