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Julien Talbot · activity ergonomist

What AI changes in  real work gestures attention decisions agency

I start from real work to decide what AI changes — and what stays under human control.

Field support See the work →
Agents Install an agent →
Stages See stages →
Writing Read writing →

For decision-makers

One loop.
Three steps.

Diagnosis, AI or training — same method: Observe · Decide · Measure.

Budget approved, work unchanged.

30 d typical verdict horizon
3 steps — one case file
1 documented verdict
logistics · 12 operators

▸ 4 stations, 2h rotation
▸ shoulder MSDs: 3 / 12
▸ pallet height fixed — back compensation
▸ interview: “I compensate with my back”
▸ AI already there: emails rewritten, no frame

finding: activity is observable
100+
people trained and guided in AI
10+
talks & workshops
6+
years in activity ergonomics, in the field

Selected writing.

All writing

Where to start.

Work together

A real situation to address — organisation or founder.

  • Activity diagnosis, situated AI, training
  • Observe · Decide · Measure — same loop
  • Nothing ships without human validation

Three lines are enough: the situation, the decision to make, what makes it difficult.

Write to Julien

Explore first

No commitment — proof, doctrine, field cases.

  • Long-form, high-density essays
  • Agent Ergonomics, real work, anti-hype
  • Talks: field narrative
  • Calibrate before you write

Building these systems? Labs — agent signal for AI labs