Feb 18, 2026 - 6 minute read

Not Every Agent Needs AI

Everyone says they’re building “AI agents.” What they’re actually building ranges from a bash script with a friendly name to a multi-model autonomous system that costs $200/day to run. The industry has collapsed an enormous spectrum into one buzzword. Teams routinely overbuild simple automations and underbuild complex ones — because they never stopped to ask what kind of agent they actually need. There’s a clean taxonomy here. Two dimensions. Four levels. Eight distinct types. Name yours before you write a single line of code.

Feb 17, 2026 - 5 minute read

Back-and-Forth Is the Bottleneck

You open your AI agent. You describe the task. It asks a clarifying question. You answer. It starts working, gets stuck, asks another question. You answer. It produces a draft, you give feedback, it revises, you give more feedback. Ninety minutes later, the thing is done — and you were involved in every single step. You didn’t delegate a task. You had a meeting. The most expensive, lowest-throughput meeting of your day, and you hold it dozens of times a week.

Feb 13, 2026 - 7 minute read

Multitasking Feels Productive. Your Brain Disagrees.

You’ve felt it. Three Slack threads, two PRs under review, a doc half-written, and a meeting in eleven minutes. Everything moving forward. Momentum everywhere. Your brain is humming. Except it’s not. The neuroscience is unambiguous: what feels like productivity is actually your brain cycling between tasks so fast it mistakes the switching for progress. You are busy. You are not doing your best work.

Feb 12, 2026 - 6 minute read

You Just Spent 45 Minutes Doing Your AI's Job

You know the feeling. Your AI agent asks a question it should already know the answer to. So you open your database, run a query, copy the results, paste them into the chat, explain the schema, correct its misunderstanding, re-run it. Forty-five minutes gone. You were supposed to be making decisions today. Instead, you were a human API — copying data between systems because your AI couldn’t reach the shelf. This is the most expensive mistake in AI adoption right now, and almost everyone is making it.