From Roadmap to Reality: Building My Learning Engineer Agent (and Wrestling with Web Research)
A founder-style diary on building an agentic EdTech AI platform, tackling web research reliability issues, and applying STORM-inspired thinking.
✍️ Thoughts
This is where I share my thoughts and ideas on various topics, including product management, entrepreneurship, and human-centered design.
Behind Every Great Product - Idea, Tech—or Both?
Great products are born when visionary ideas meet the right technology—and both are executed with precision. It’s not a battle between idea and tech; it’s a partnership where each fuels the other. Success lies in aligning feasibility, viability, and trust into a seamless user experience.
Why Consumers Pay More for Driverless Rides?
This analysis examines the surprising 60% price premium for Waymo's driverless rides compared to Uber and Lyft in Phoenix, with data from identical routes at different times of day. The post explores multiple explanations including supply-demand imbalance, novelty factor, strategic luxury positioning, and the socioeconomic implications of this emerging technology.
How AI Agents Achieve Reliability in a Probabilistic World
The key insight about AI agents is that reliability doesn't require pure determinism. Instead, it demands appropriate boundaries, checks, and fallback mechanisms—just as we build reliable systems using unreliable components in other fields.