AI & Technology Insights
Strategic perspectives on AI development, enterprise technology, and product leadership from the trenches of building production systems
From ChatGPT History to Searchable Knowledge Base
1,060 conversations and 23,465 messages — trapped in JSON exports until I built a semantic search layer over all of them. Here's how Discotheque turns AI chat history into searchable knowledge....
Semantic Memory for AI Agents: Building a System That Remembers What Matters
How a knowledge graph with 200+ nodes, pgvector embeddings, and a time-weighted decay algorithm keeps 13 AI services from drowning in their own context....
Why AI Agents Fail at Finance But Crush Sales
The 2.6x ROI gap between the best and worst AI agent use cases isn't a technology problem. It's a product management problem. A framework for evaluating where agents actually deliver....
The Boring Parts of Production AI That Nobody Talks About
The 502 error that took down my knowledge graph had nothing to do with AI. Production AI is 20% model and 80% plumbing — here's what actually breaks....
Building an AI System That Fixes Its Own Documentation
What happens when you let an AI agent patrol your codebase for documentation drift — and it catches a bug you didn't know existed. Doc-Steward runs daily, detects stale docs, and submits PRs to fix them....
How I Run 13 AI Services Solo (Without Losing My Mind)
The architecture pattern that lets a one-person operation scale like a team of ten. Memory-First Orchestration replaces coordination infrastructure with a shared knowledge graph....