- From Solopreneur to Scaled Impact
- Leveraging AI for Personalized Feedback
- The Art of Iterative AI Development
- Monetizing Niche Expertise
Ben Arez, a veteran product manager and passionate coach, embarked on a solopreneurial journey that led him to an innovative solution for a common challenge: scaling personalized feedback. His creation, an AI co-pilot designed to assist product management interview candidates, not only transformed his business but also offers a powerful playbook for anyone looking to amplify their unique expertise with artificial intelligence.
Ben's transition from traditional PM roles at companies like Facebook to a coaching solopreneur highlighted a critical bottleneck. While his Maven course garnered significant interest, providing individualized feedback on product sense and analytical thinking interview templates became a time-consuming endeavor. Students frequently sought clarification on applying frameworks to diverse questions, leading to an unsustainable workload. This demand for scalable, personalized guidance became the fertile ground for his AI co-pilot.
The development process began with experimentation on platforms like Claude Projects. Ben adopted an iterative, "bottom-up" approach, starting with minimal instructions to observe the AI's baseline behavior. He quickly noticed the AI's tendency to jump straight to solutions, much like an inexperienced candidate. By gradually introducing his proprietary frameworks and evaluation rubrics, he meticulously guided the AI to mimic the structured, thoughtful responses expected in top-tier interviews. A key insight was the need to separate the co-pilot into distinct modules for Product Sense and Analytical Thinking, acknowledging their differing evaluation criteria.
Validation was crucial. Ben engaged former Meta interviewers to test the co-pilot, receiving overwhelmingly positive feedback, including one ex-interviewer asking if they could "hire" the AI. Student feedback, while largely positive, also highlighted areas where the AI's output diverged from Ben's core teachings, creating "contradictions in the system." This prompted an intensive refinement phase, ensuring the co-pilot's advice was perfectly aligned with his gold standard. This commitment to quality allowed him to confidently increase his course price and offer the co-pilot as a standalone product.
The co-pilot's market reach exploded following a guest post on Lenny's newsletter, driving significant sales and establishing Ben's content as a top SEO result for "product sense interview." His experience underscores several key principles for building successful AI co-pilots: identifying one's unique expertise, establishing clear baselines, mapping user workflows, adopting iterative development, and recognizing the cost-effectiveness of leveraging existing AI platforms over building from scratch. Ultimately, Ben's journey reveals the immense, often undervalued, potential of individual expertise when strategically amplified by AI.
“I think that people a lot of people dramatically under undervalue how unique their knowledge is about about specific things that they might be the experts on.”
- Ben Erez, World-class interview coach
