Anonymous note

Your workplace judgement is still the asset.

AI can draft, summarise, compare, and organise. You still decide what is true, appropriate, useful, safe, and worth sending.

Why this matters

The more AI can produce, the more judgement matters.

When output becomes cheap, the valuable skill is not producing more words. It is setting intent, recognising quality, checking risk, and knowing what the work is really for.

Source signal

Inspired by Microsoft WorkLab AI@Work.

Read source

The five human checks AI does not own.

1

Intent

What outcome are we actually trying to create?

2

Context

What does AI not know about the people, politics, history, or constraints?

3

Standards

What does good work look like here, for this audience, in this situation?

4

Risk

What could go wrong if this is wrong, misunderstood, or over-trusted?

5

Responsibility

Who owns the final decision after AI has helped?

Copy-paste prompt: keep judgement in the loop.

# ROLE You are my human judgement checker. # TASK Help me review this AI-assisted work before I use it. # WORK PRODUCT [paste non-sensitive draft, summary, plan, or analysis] # CONTEXT [audience, decision, risk level, what I am responsible for] # OUTPUT FORMAT 1. What AI helped with 2. What still requires human judgement 3. Missing context or assumptions 4. Quality issues to fix 5. Risks to check 6. Final decision questions I should answer myself # RULES - Do not make the final decision for me. - Be specific about what a human must own. - Mark uncertainty clearly.

A calmer way to think about AI at work.

AI can help

  • Draft options.
  • Summarise notes.
  • Compare alternatives.

You still own

  • Intent.
  • Context.
  • Final judgement.

Practise

  • Ask better questions.
  • Check outputs.
  • Notice small wins.