Who is Manosai?

I’m M.E., an AI product builder focused on human–AI interaction. I’m also a dad, lifelong learner, and dreamer.

• I’ve spent 11 years building software in spaces that spark my curiosity, with the last three focused on AI and software interfaces.
• Most recently, at Figma, I led product work on Make Kits, helping Figma Make’s coding agent use companies’ design systems and code components to produce high-quality output.
• I think from first principles and write to develop my views on technology, humanity, and where we’re headed.
• I love ambiguous, zero-to-one work and exploring what emerging technology makes possible.
• I care deeply about product and design craft: the details that make software delightful.
• I see building software as a creative act and a privilege: bringing ideas to life for others to experience.

What I’m exploring

I’m studying human intelligence to figure out what we should build with machine intelligence.

As intelligence and software become abundant, what should we build? What becomes more valuable? How can we give people more agency over their time, tools, and lives?

The Future of Software, Part 2 lays out my current thesis. The Human Curriculum explores human intelligence, learning, creativity, and how we evolve with AI.

I write about the product craft of AI: designing how people interact with intelligent software and making it work well in practice. That includes the roles we play with personal agents, how agents could reshape personal computing, and why AI quality requires more than evals.

What I believe

• Technology should expand human agency. Invention, including AI, should help us build a more creative, connected, and thoughtful world while preserving what makes us human.
• Optimism is a deliberate choice. I’d rather build toward a future I want than predict and wait for one I fear.
• The power to build, and intelligence itself, should be open to everyone. We all have creative potential. Our tools should help us discover and exercise it.
• AI should amplify human potential without removing the effort that helps us grow. As more becomes automated, our voice, judgment, and capacity to think and create matter even more.
• Understanding human intelligence should guide the machine intelligence we build. LLMs demonstrate remarkable capabilities, but I don’t think we’ve recreated human intelligence, which we still understand only partially.