Thoughts on engineering autonomy, AI agentic loops, and scaling enterprise accelerator platforms.
Synthesized vision of modern, collaborative, metrics-driven PM leadership in the AI age.
Generated by Veo 3
An exploration of the economic realities of deploying autonomous agents at scale, and the architectural shifts required to prevent exponential token costs from stalling enterprise AI adoption.
A deep tactical exploration into the lifecycle of building and scaling AI agents. Shift from simple copilot assist patterns to robust autonomous loops capable of complex planning, tool use, and self-correction.
A human-centric guide to AI automation for product managers. Exploring how the Stanford Human-Centric Automation Matrix can help PMs strategically decide what to automate and to what degree, ensuring AI agents become true partners rather than replacements.
A deep dive into the Mixture-of-Experts and Mixture-of-Agents techniques that are enabling the next generation of powerful, efficient, and scalable large language models.
