The Problem
- Weekly status update written from memory each Friday — 60–90 minutes per person
- Inconsistent format: leadership repeatedly flagged vague language and missing links
- No institutional memory across reporting cycles
- Same feedback given every week with no mechanism to encode it permanently
What Was Built
01
Context ingestion
AI skill that reads relevant Slack channels and project tools before drafting — nothing written from memory.
02
Calibrated output format
Structured to leadership preferences (sections, tone, specific numbers cited). The format is codified, not re-discovered each week.
03
Feedback log
Leadership comments are encoded as standing rules and auto-applied each week — feedback compounds instead of evaporating.
04
Human-in-loop review
Draft presented for approval before posting; nothing goes out without human sign-off.
05
One-click Slack post
Approved draft auto-posted to Slack as a draft for final send.
Outcomes
- 60–90 min drafting reduced to ~10 min review-and-approve
- Zero format inconsistencies — leadership preferences applied automatically
- Full project history used as context — no items missed week to week
- Feedback compounds: each leadership comment improves all future reports
Key Metrics
| Metric | Result |
|---|
| Saved per report cycle | ~80 minutes |
| Saved per year per person | ~65 hours |
| Manual reformats needed | 0 |
| Quality trajectory | Improves each cycle |
Next-Level Improvements
- Auto-pull KPI data from dashboards into the draft
- Backlog links auto-inserted in priorities section
- Week-on-week diff: highlight what changed vs last cycle
- Roll out to multiple team leads — not just one function
Ideal For
Ops leads, department heads, chiefs of staff — anyone who writes recurring leadership updates.
Stack & Methods
AI skillSlack APIContext ingestionFeedback logHuman-in-loop approval
Next Engagement
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same report every week?
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