The other day, our editorial system looked like this: "Starting with Step 1 …" — and then nothing. Instead of a finished article, the autopilot spat out a wall of technical gibberish and stopped. No text. No post. Just a polite digital shrug.
Quick context: part of this blog half-writes itself. An AI agent — built with Claude Code, the same tool that holds the rest of this site together — regularly picks a topic, writes all four language versions, and lines them up for approval. It ran smoothly for weeks. And then, overnight: dead stop.
The culprit wasn't a crash or a bug in the classic sense. It was an update.
What changed
An AI agent has tools: one for searching the web, one for writing files, one for running commands. They all used to sit ready on the workbench — the agent just had to reach for them.
With the update, the tools moved into labeled drawers. The agent now sees only the labels and has to request each tool before it can pick it up. The jargon for this is "deferred tools."
Sounds like extra work, but it's well thought out: an agent with fifty tools in front of it gets distracted. Keep only the ones currently needed on the table, and it makes better decisions — with more headroom for the actual task. A sensible improvement, in other words.
Except our autopilot didn't know about the new order. Out of old habit, it reached into thin air — and got stuck on the very first move. Hence the "Step 1 …" followed by radio silence.
The punchline
Here's the lovely part. A blog about AI, written with AI, stopped by an AI-tool update.
And the fix came from the same AI. We sat down with Claude Code and took the problem apart — and the agent turned out to be surprisingly sharp. It even tripped over a second, completely separate problem (a flaky network connection that returned "502" on every request), recognized it for what it was, and built itself a workaround. The rest we taught it: request your tools first, then get going.
One extra line in the briefing — and the autopilot was back.
What you can take away
Three things, no wagging finger:
AI tools change fast. What worked yesterday may tick differently tomorrow. That's the price of living at the cutting edge — and usually the change is even an improvement, just one that stings for a moment.
Automation is never "done." If you build workflows on AI tools, you're building on shifting ground. A bit of upkeep is part of the deal. Knowing that saves you a lot of grief.
And the most important point: don't blindly trust that an AI "knows" what's current. Its knowledge has a cutoff date. Our autopilot had cheerfully quoted outdated prices and model names from memory — until we taught it to look things up before stating a number. That goes for pros and for your everyday use alike: for anything that changes fast — prices, versions, "newest" features — double-check it once.
The autopilot, by the way, is long back at work. A human took this particular text out of its hands — it's about the agent itself, after all. But the next one? It writes solo again. With freshly looked-up numbers.