$100M ARR Founder: The Next Big AI Opportunity

Synopsis

Jon Noronha, co-founder and chief product officer of Gamma, explains how the company rebuilt its presentation product as a creative agent and what it takes to build agent harnesses for vertical workflows. One finished presentation uses roughly 20 models and 200 calls, including visual QA; Gamma obtains about 98% of its value from prompts and uses frequent experiments to evaluate models, subjective quality, and conversion. He argues that startup opportunities come from combining AI with a distinctive vision, proprietary data, or the physical world, with examples including a Slack agent and a couch-shopping tool that checks room fit.

Ideas in this episode

• Vertical AI agents (specialty)

  Jon Noronha explains how Gamma builds agent harnesses for vertical workflows and argues that AI opportunities come from combining the technology with a distinctive vision, proprietary data, or the physical world. He cites Slack and room-fit shopping as example vertical applications.