Turn a scrappy work log — Slack scraps, ticket IDs, half-sentences in a notes app — into a crisp weekly status update: done, blocked, next, risks surfaced, written at the altitude your boss actually reads instead of the altitude you lived through.
Tier: Foundation · Hands-on time: ~25 minutes · Tools: ChatGPT, Claude, Google Docs
The hard part of a status update was never the writing. It is deciding what your reader needs, compressing a week of noise into six lines, and saying "blocked" out loud. This recipe makes the AI do the compression while you keep the judgment.
And when not to:
Dump the raw log, unedited (3 minutes). Collect the week's raw material into one text block: notes-app scraps, ticket titles you closed, calendar entries, key sent emails. Do not clean it up — cleaning is the model's job. Do strip anything confidential you would not paste into a hosted tool (salary figures, personal data, client secrets).
Generate the first draft with a strict frame. Paste the log with this prompt:
You are helping me write my weekly status update. Below is my raw,
messy work log for the week. Turn it into a status update with
EXACTLY this structure:
1. Headline: one sentence — the single most important thing my
manager should know this week.
2. Done: 3-6 bullets, each starting with a verb, each stating an
outcome (not an activity). Merge related items.
3. Blocked / Needs decision: bullets naming WHO I am waiting on
and WHAT I need from them. If nothing, write "None".
4. Next week: 2-4 bullets of committed priorities.
5. Risks: anything in the log that could slip or surprise. If
nothing, write "None flagged".
Rules:
- Use ONLY what is in the log. Never invent progress, numbers, or
dates. If an item is ambiguous, mark it [CHECK] instead of guessing.
- Audience: my manager, who has 60 seconds. No jargon-decoding
needed for ticket IDs — drop them or translate them.
- Tone: plain, confident, no filler ("various", "ongoing", "touched
base") and no self-praise.
MY LOG:
[PASTE WORK LOG]
A good draft looks like this:
Headline: Vendor migration is a week ahead of plan; the only open
risk is the unsigned data-processing agreement.
Done
- Migrated 3 of 4 vendor data feeds to the new platform (finance
feed remains).
- Closed the Q3 access review — 47 accounts certified, 2 revoked.
- Drafted the DPA and sent it to Legal for review.
Blocked / Needs decision
- Waiting on Legal (Priya) to return DPA comments — needed by
Thursday to hold the cutover date.
Next week
- Migrate the finance feed and run parallel reconciliation.
- [CHECK] Confirm cutover date of 14th with the vendor.
Risks: None flagged beyond the DPA timing above.
Resolve every [CHECK] and audit the claims (5 minutes). Each [CHECK] is a fact the model could not confirm from your log — confirm or delete it. Then verify every number, date, and name against your own records. The model compresses honestly only if you audit honestly.
Re-pitch for a second audience if needed. Same conversation:
Now rewrite this same update for [AUDIENCE, e.g. the client steering
committee]. Keep every fact identical. Raise the altitude: lead with
business impact, cut internal ticket detail, keep it under 120 words.
Paste into your template and make one human edit. Move the result into Google Docs or your team's format, then rewrite at least the headline in your own voice. The headline is the one line your manager reliably reads — it should sound like you.
A work log is full of names, deal details, and internal metrics — use your organisation's approved AI tenant, and strip client identifiers and personal data before pasting into a personal account.
Keep every generated update in one running doc and, at review time, ask the model to summarise the quarter from it — the same recipe, one altitude higher, and your self-assessment writes itself from evidence.