I transform complex technical ideas into scalable learning materials, talks, and documentation.
Video tutorials, workshops, and AMAs on AI backends, MCP, and visual development.
Technical deep dives, code snippets, and implementation guides for engineers.
Strategic writing on AI philosophy, product direction, and future systems.
Daily insights, rapid prototyping demos, and developer experience threads.
From opportunity identification to community adoption—how I owned the complete product lifecycle of an ecosystem integration that unlocked 400+ automations for thousands of users.
One-shot LLM calls aren't enough. Here's how I built a translation agent that critiques and refines its own output—achieving 40-60% quality improvement through iterative refinement.
Bridging Language Server Protocol with Claude Code via MCP enabled autonomous syntax validation. Here's how progressive disclosure makes AI agents smarter, not just faster.
Most AI problems are actually backend problems. Here's how I shipped SessionBridge—a memory layer that works across Claude, ChatGPT, and Cursor—using MCP and Xano.
Long context windows are impressive, but true AI assistants need memory systems that compound over time. Here's why and how to build them.
A hands-on workshop teaching builders how to design backends specifically for AI agents using Model Context Protocol.
Exploring how to build memory-first AI systems that compound value over time rather than resetting context.
Designing AI experiences that users trust, focusing on transparency, control, and progressive disclosure.
Rapid prototyping methodologies for shipping AI products without sacrificing quality or maintainability.