Practice
How We Actually Use AI at Work, All Day
No frameworks, no maturity models. A blow-by-blow account of one working week: what we handed to a model, what we refused to, what came back wrong, and the running tally of hours it actually saved.
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No frameworks, no maturity models. A blow-by-blow account of one working week: what we handed to a model, what we refused to, what came back wrong, and the running tally of hours it actually saved.
In this episode
Monday: the inbox
Triage, drafting, and the specific point where delegating replies started costing more than it saved.
Wednesday: the research day
Six sources, one synthesis, and two confident fabrications caught only because we read the originals.
Friday: the honest tally
Where the time went, and why the biggest win was not speed but starting on hard things sooner.
The tasks we stopped delegating
A short list, and the principle underneath it: never delegate the work you are accountable for explaining.
The value was not that it wrote faster. It was that a blank page stopped being a reason to postpone.
Mentioned
- The full written companion piece in the articles archive
- Module material on this topic in the AI Fluency programme
Beyond the Prompt publishes a new episode most weeks. Subscribe wherever you listen, or read the written edition first — both cover the same ground, at different speeds.