Uxdesign iconUxdesignSep 8, 2026 ~1 min source read

Most AI problems are really human problems

The cause sits upstream: unread intent, missing oversight, thin context, loose language, unset expectations, no evals, fuzzy outcomes, and the wrong tool for the job. Anthropic recently told its growth team to hire more product managers, not fewer.

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The cause sits upstream: unread intent, missing oversight, thin context, loose language, unset expectations, no evals, fuzzy outcomes, and the wrong tool for the job.

Right now when a project stalls, the instinct is to blame the model and wait for the next one.

Anthropic recently told its growth team to hire more product managers, not fewer.

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The useful part

The cause sits upstream: unread intent, missing oversight, thin context, loose language, unset expectations, no evals, fuzzy outcomes, and the wrong tool for the job. Anthropic recently told its growth team to hire more product managers, not fewer. We're moving so fast, misalignment is the outcome, which could lead to project failure.

How it works

  • — Travis Lowdermilk Because of this they want the humans to be aligned and in control, which is a perfect time for user experience: put in enough thought to do it right.
  • Right now when a project stalls, the instinct is to blame the model and wait for the next one.

Details worth keeping

What's new is the acceleration of code generation. AI doesn't create the need for shared understanding.

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