"Tidy up the folder"

A postdoc asks an AI agent to "tidy up the protocols folder" on the group's shared drive. It does exactly that. It renames forty files to a neat pattern, moves old versions into an archive subfolder and merges two near-identical Western blot protocols into one. The result looks great. On Monday three colleagues find that every link in the lab wiki is broken, and the merged protocol has quietly lost the one step that differed: the longer transfer time the phosphoprotein project depends on.

In a company it's the purchasing team at a medical-device supplier. A buyer asks an agent to "compare the eight centrifuge quotes and pick the best". The table it produces is tidy and the recommendation is confident. One supplier's price is the price without the rotor, because the rotor sat on page 3 of the PDF and the agent read pages 1 and 2. The team leader nearly signs.

An agent differs from a chat assistant in one way that matters: it chooses its own steps. It decides which files to open, what to compare and what to write, and it can change files on its own. That saves you hours of preparation. It also means you have to set the destination and the limits, watch the steps, and check the result before colleagues rely on it. You are at Level 2 Power user: your team will use what the agent made, so a wrong value or a lost file reaches them.

After this you can

  • Write a delegation card with the outcome, the files, what the agent may and may not do, and when it stops.
  • Run the task in Cowork on a copy of the files, with approvals switched on, and stop it when it drifts.
  • Tell what the agent actually did from its steps and the changed files, not from its closing summary.
  • Check the result against the source files, with a colleague doing a blind spot check, before the team uses it.

Before you start