Learn how to build AI tools that go beyond the demo.
All Posts
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Agentic Workflows, Agents, and Multi-Agent Systems
From fully controlled to fully autonomous. How to pick the right pattern.
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5 Techniques to Debug Claude Code
When Claude is failing, the problem is context, not intelligence. Here are the five techniques I actually use to get unstuck.
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Can We Teach AI Agents Integrity?
I scored 13,000 AI agent messages for integrity, compassion, and accuracy. Here's what I found and the system I built to measure character using Aristotle's framework.
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If You're Not Using the Ralph Loop, You Become Your Own Loop
Think of it like CI/CD for AI coding. You plan in one terminal, Ralph codes autonomously in the other.
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How We Won the MCP Hackathon with PitchScoop
First place at the MCP AI Agents Hackathon. 32 MCP tools, Redis Sorted Sets for live leaderboards, and a dual-interface architecture built in 7 hours.
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I Built an AI Agent That QAs Our Demos So We Don't Have To
An AI-powered QA tool that scrapes Storylane demos, reviews every step for grammar, messaging, and GTM alignment, and gives you a scored report. Won Most Innovative Use Case at Demo Dundies.
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Transforming Project Management Data into Business Intelligence
How I connected Asana, Salesforce, and Domo through APIs to turn scattered project data into automated dashboards and business insights.