Book 30 minutes

Healthy AI First · Episode 7 · 18 min

A Workday with Energy Left at Night

We rewind Jonas's Tuesday and tell it again: one single change, an appointment reminder with a daylight saving trap, from sizing up the task to exploring, a 4-line contract, Daniel's review and a careful rollout. Alongside it, Miriam's day with a calendar that is only half hers, and what of all this still works for juniors and people on call. The workflow is a proposal to try out, not a proven optimal work cycle.

Companion document

All studies, sources and claims from this episode in one PDF, to read along or look things up later.

Download the companion document (PDF)

Chapters

  1. 0:00Opening
  2. 0:56Welcome
  3. 1:37The Image: a Mountain Hike
  4. 2:32Before You Set Out
  5. 4:02Miriam's Tuesday
  6. 5:07Exploring, and Sometimes a Map
  7. 6:18A word from us
  8. 7:10The Short Contract
  9. 8:37Letting It Run
  10. 9:45Cairns
  11. 11:11A Second Pair of Eyes
  12. 12:40The Whole Day
  13. 14:08Logging Off
  14. 15:38Energy at Night

Show notes

The short contract from the episode (copy it)

  • Goal: a reminder the evening before, at 6 p.m. in the customer's local time.
  • Out of scope: no text messages, no new email template, no rebuild of the appointments table.
  • Examples: an appointment just after midnight on Wednesday gets its reminder on Tuesday at 6 p.m.; an appointment on the Sunday the clocks change also gets its reminder at 6 p.m. on Saturday, not an hour earlier at 5 p.m.
  • Open: reminders for same-day bookings? Miriam decides.

Tool tip: what Claude Code checkpoints do not undo

A prompt that starts a new turn creates a checkpoint. Use /rewind, or press Esc twice with an empty input, to open the restore menu. Only supported file edits made with Claude's own file editing tools are captured; most subagent edits are not. Changes made through Bash commands (deleting, moving, copying) stay. Anything outside the files, such as database changes, calls to external services or emails that were sent, is not undone by a checkpoint. Checkpoints are not a replacement for version control. Source: https://code.claude.com/docs/en/checkpointing

Try this before episode 8

For one week, write a "cairn" at the end of every workday: what is done, what is open, what you start with tomorrow. Add your energy on a 5-point scale (5 = plenty of energy; episode 8 uses the same scale).

  • Developer version: keep the lines in a notes file in your project, and write the 4-line contract once before your next task.
  • Office version: put the 3 lines at the end of the document or chat you are working on with AI tools, like Miriam.

Sources

Basis of the episode

  • Healthy AI First Software Development, version 2 (2026-10-01), chapter 10 "The proposed lifecycle" and chapter 11 "A sustainable workday". The lifecycle is explicitly marked there as a hypothesis to be validated.

Working with agents (vendor practice, not controlled studies)

Interruption and resumption (covered in depth in episode 4)

Breaks and rhythm

Logging off, open goals, detachment

Further reading (not mentioned in the episode)

  • Masicampo, E. J. & Baumeister, R. F. (2011): Consider it done! Plan making can eliminate the cognitive effects of unfulfilled goals. Journal of Personality and Social Psychology 101(4), 667-683. Lab experiments. https://doi.org/10.1037/a0024192
  • Sonnentag, S. & Fritz, C. (2007): The Recovery Experience Questionnaire. Journal of Occupational Health Psychology 12(3), 204-221. https://doi.org/10.1037/1076-8998.12.3.204

Callbacks to earlier episodes: the restaurant kitchen (episode 1), explore and plan, one-way doors (episode 3), attention residue and the resumption point (episode 4), a diagram as the answer to one question (episode 5), what a green test proves (episode 6).

Healthy AI First is AI-researched and AI-generated, narrated in Björn's voice, recreated with AI, and reviewed by him. Jonas, Daniel and Miriam are fictional characters.

Bringing AI into your team?

Björn is one of the founders of CLN Work. CLN Work helps companies adopt AI in small, verifiable steps: finding where real capacity is, which processes can be automated, and how to use AI interactively. The decisions stay with you.

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