Daily AI Use Wrap-Up
A five-minute end-of-day prompt that turns your day into a short log: what you did, where AI was used, one highlight and one thing to pick up tomorrow.
Version 1.0 · Updated 23 October 2026
What it is
A daily habit that keeps your AI use visible. At the end of each day, an assistant turns your notes (or, if it can run scheduled tasks, your day’s activity) into one screen of bullet points: what you did and achieved, every task where an AI tool was involved, the one standout highlight and the one nagging thing to address tomorrow.
It does two jobs. It answers the eternal question of what you actually did all day, and by the end of the week you have a record of what went into which tool, ready for your AI Use Review & Risk Log.
When to use it
Use it when:
- You use AI tools most days and want a light record without a spreadsheet.
- Your team is starting out and you want everyone in the habit of noting what goes in.
- You want a morning starting point that tells you where you left off.
Don’t use it for:
- Logging incidents or near-misses. Those go straight into the AI Use Review & Risk Log (Variation 1 on that page).
- Recording confidential detail. The wrap-up describes what went in, in general terms; it never repeats the content itself.
Inputs needed
- Your notes from the day: a few rough lines are enough. Voice dictation works well here.
- If you run it as a scheduled task: an assistant that can see your day’s activity and send email, set up in a tool your organisation approves.
- Your list of approved tools, so the log can flag anything that wasn’t on it.
AI prompt
Base prompt
At the end of my working day, put together my AI use log from the notes below [or: from today's work].
1. A concise bullet list of what I did and achieved today, grouped by client or project, one line each.
2. For each task where I used an AI tool: which tool, what went in (in general terms, with no confidential detail), what came out, and whether I checked it before it was used.
3. The one standout highlight of the day.
4. The one nagging thing to address tomorrow.
Keep it to one screen, in plain English. Send it to me with the subject line "Use log: [today's date]".
My notes:
[paste notes here]
Prompt variations
Variation 1: As a scheduled task (set this to run at the end of each working day in an assistant that supports scheduled tasks)
Every weekday at [time], review what I worked on today [in this project / in my connected email and calendar] and put together my AI use log.
Follow the same four parts: what I did and achieved, grouped by client or project; each task where an AI tool was used (tool, what went in in general terms, what came out, whether it was checked); the one standout highlight; the one nagging thing to address tomorrow.
Never quote confidential content. If a tool I used isn't on this approved list, flag it at the top: [approved tools].
Email it to me at [address] with the subject line "Use log: [date]". If there was nothing to log, send one line saying so.
Variation 2: Friday roll-up
Here are my daily use logs for this week. Roll them into one weekly summary:
1. The three most useful things AI helped with, and roughly how much time each saved.
2. Any tool used that isn't on our approved list, and any task where output wasn't checked.
3. Anything that should go into our AI Use Review & Risk Log as an issue, near-miss or decision.
4. One prompt worth keeping for next week.
Keep it under 200 words.
[paste this week's logs]
Tips for better AI output:
- Dictate your notes on the way out of the door; the assistant will tidy them.
- Keep the format fixed. The value builds when every day reads the same way.
- If the nagging thing appears three days running, it’s no longer a nag. Put it in the diary.
Human review checklist
- Every AI-assisted task is listed, including quick ones.
- Nothing confidential has been repeated in the log itself.
- Each “what went in” line went into an approved tool, or is flagged.
- Anything not checked before use is marked, and checked now if it has already gone out.
- The nagging thing is specific enough to act on tomorrow.
- Anything that looks like an incident or near-miss is copied into the Risk Log.
Example output
Anonymised and shortened. Real outputs will vary based on your inputs.
Use log: Tuesday 20 October 2026 (illustrative, for a fictional in-house comms manager)
What I did
- Spring campaign: first-draft brief agreed with the brand team; audience section reworked.
- Media: coverage summary for the leadership team sent at 11.00.
- Internal comms: all-staff note on the office move drafted and with HR for sign-off.
Where AI was used
- Enterprise assistant: turned last week’s coverage (published articles) into a one-page summary by theme. Checked against the coverage before sending.
- Enterprise assistant: argued against the campaign brief draft; found the missing audience (existing customers). Checked: yes, used as prompts for discussion only.
- Enterprise assistant: first draft of the office-move note from HR’s fact sheet (internal, no personal data). Checked and rewritten before sending to HR.
Highlight: The brief’s missing audience came up before the agency meeting, not after it.
Nagging thing: Chase HR for sign-off on the office-move note by 12.00, or it misses Thursday’s bulletin.
Note: illustrative. Your log will reflect your own day and tools.
Related templates
- AI Use Review & Risk Log - Where the weekly roll-up feeds in
- AI Use Policy - What counts as approved, and what never goes in
- Weekly Monitoring Brief - Monday’s task in the starter guide
Related templates
AI Use Policy (Living)
A working AI use policy for a comms team: what is permitted, what needs review, what is off-limits, how AI use is disclosed and how data is handled. Built to be kept current, not written once and forgotten.
AI Use Review & Risk Log
A simple cadence and running log for keeping a comms team's AI use governed over time: a quarterly review of policy, tools and standards, plus a standing record of issues, near-misses and decisions.
Weekly Monitoring Brief
Systematic approach to tracking media mentions and social conversation to identify emerging trends, sentiment shifts, and response opportunities.