Getting started with OpenProse: a small workflow you can inspect
A beginner OpenProse walkthrough: two Markdown files, one agent run, and how to check the saved result against its own requirements.
I transform complex technical ideas into scalable learning materials, talks, and documentation.
A beginner OpenProse walkthrough: two Markdown files, one agent run, and how to check the saved result against its own requirements.
Sharing a colleague's method is useful. Collaborating with the agent they already work with preserves a different kind of continuity.
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.