AI Blog
28 articles · Updated regularly
The AI Tool Switching Problem: Why Using More Tools Is Making You Less Productive
Most people solve every AI problem by adding another tool. In 2026, that's a productivity killer. Here's how to audit your stack, cut the noise, and actually get more done.
The AI Output Quality Gap: Why Most People Get Mediocre Results (And How to Close It)
Most AI users get mediocre outputs — not because the models are bad, but because of how they interact with them. Here's how to close the quality gap in 2026.
The AI Memory Problem: Why Your AI Assistant Forgets Everything and What to Do About It
The AI memory problem is one of the biggest hidden drags on AI productivity in 2026. Here's exactly what's happening architecturally, why it's getting worse as AI use intensifies, and the practical systems — from a simple context document to full RAG infrastructure — that actually fix it.
The AI Context Window Problem: Why Longer Isn't Always Better
Context windows have exploded to millions of tokens—but most people use them wrong. Here's what actually happens to your AI's reasoning when you stuff them full.