Your AI agent fails decisions for the same four reasons a bad manager does. A bigger model fixes none of them. Not because the model is dumb. Because nothing in its loop forces it to widen its options, look for evidence it is wrong, or check itself ...

My AI agents could finish any task I handed them. Not one of them could tell me the task was a waste of a month. That gap was never about model quality. It was about which layer I aimed them at. I had handed over execution: write the draft, run the ...

Knowledge is not flat. It has an address book, and the closest door comes first. What ran and worked in your environment beats what you wrote down. What you wrote down beats what a teammate remembers. What a teammate remembers beats the top search r...

We are building AI agents with a fundamental architecture flaw. A recent study tested six frontier models across 2,000+ sessions. Each agent was instructed to complete a specific process step before finishing. Every single model agreed. And every si...

Your task manager is the best agent memory you're not using. Not because vector databases are bad. Because the store everyone builds for their agent starts rotting the day they stop feeding it. And the one knowledge base you feed every single day, y...

Build your AI skill once with your best model. Then run it on a model that costs a tenth as much until the next flagship ships. The output will not drop. That sounds like a downgrade. It is not. It fixes the two things that make AI agents painful ri...

Some of the rules in your CLAUDE.md should not be rules at all. Not because they are wrong. Because you have written the things you cannot afford to lose into a file the model reads once and then slowly forgets. A preference survives that. A constra...

You added a skill last Tuesday. The agent hasn't called it once. Each new skill silently weakens the discovery odds of the ones you already have. You assume it's a description problem. It isn't. Everyone's pushing past 50 skills now. Vercel ships a...

TL;DR — why browserground, not the other 2B grounding models You already know the hybrid-AI argument: don't pay frontier-vision rates for "where is the button?" There are three good 2B specialists for that job — UI-TARS, ShowUI, browserground. Here...

The first stage of AI work is prompting. The last stage is removing the model from most of the workflow. That sounds backwards. It is not. When a workflow is new, the LLM is useful because the work is still ambiguous. You are discovering what goo...