AI made work faster. It did not make teams better. Peak productivity now looks like one person running a wall of prompts, and that model is flawed.

A year ago a decent first draft took hours. That job has changed completely, and the biggest misunderstanding about AI sits right here.

Open tool, type prompt, check answer, close tab. Agents break that loop. Six systems AI can keep running once you have shown it how.

Most of us still use AI as a glorified chatbot. Six categories of work you can hand it right now, in the week you are already having.

You can talk a good AI game. Commissioning a project, assessing a vendor, redesigning a workflow around it: that needs building, not reading.

My working life now has two eras, before Claude Code and after. The gap is wide enough that the first one already feels like another century.

Five opinionated advisors in a virtual boardroom. None of them exist. The feedback is sharper than most real meetings we have sat in.

AI took the first draft, so the bottleneck moved to both ends. Deciding what is worth making and judging what comes back. That job is editing.

Stop asking what AI can do for you. We tried the reverse in a live workshop, and the room got sharper the moment AI started asking the questions.

The conversation is stuck on individual productivity. The harder question is what good teamwork looks like once humans and machines think together.

Big words, big invoice, drawer. Your people have been saying the same thing for years. What they need is permission, not consultants.

AI has filled organisations with output that looks like work and adds nothing. Researchers call it workslop. The remedy is older than the problem.

Some tools shout. Miro gives your thinking somewhere to go, where the whole team can see it. Why that matters more than any feature list.