A/B testing AI features, shadow mode deployment, model cards, and the launch checklist that keeps a biased model from reaching production users.
A/B testing AI features, shadow mode deployment, model cards, and the launch checklist that keeps a biased model from reaching production users.
The average PM spends 6-8 hours in meetings weekly. Of that time, a significant portion is spent on things AI can automate: writing agendas, distributing notes, tracking action items. This lesson covers all of it.
Generate a structured meeting agenda for the following meeting.
Meeting type: [Weekly status / Kickoff / Steering committee / Sprint review]
Duration: [60 min]
Attendees: [list with roles]
Meeting objectives: [what decisions need to be made / what needs to be communicated]
Context: [current project status / what happened last week]
Structure the agenda with:
- Time allocation for each item
- Owner for each item
- Expected outcome (decision / information / discussion)
- Pre-read materials needed (if any)
- Items that can be cut if time runs shortSummarize the following raw meeting notes into a professional meeting summary.
Raw notes:
[paste messy notes]
Format:
## Decisions Made
[clear decisions with who made them]
## Action Items
| Task | Owner | Due Date | Priority |
## Key Discussion Points
[2-3 sentences per major topic]
## Open Questions / Parking Lot
[issues that came up but weren't resolved]
## Next Meeting
Date: TBD | Agenda preview: [list upcoming items]Write a meeting follow-up email based on these action items:
Meeting: [Name] on [Date]
Attendees: [list]
Action items:
[paste action items table]
The email should:
- Summarize key decisions (2 sentences max)
- List each person's action items clearly
- Include due dates
- Close with next meeting date and agenda preview
- Tone: professional but warm, not formalThe foundations from today carry directly into Day 5. In the next session the focus shifts to AI Ethics and Responsible Product Decisions — building directly on everything covered here.
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