Write One-on-One Talking Points with AI

Five minutes before a 1:1, paste what's on your mind into @vustbot — wins, friction, asks, last meeting's leftovers — and request prioritized talking points with a suggested opener for the hard item. The model organizes your own raw material into a conversation plan; nothing about the other person is fetched from anywhere.

The worst 1:1s aren't hostile — they're empty, both sides improvising pleasantries for thirty minutes. The fix is embarrassingly cheap: five minutes of dumping your actual topics into a model and letting it sequence them, hard thing included.

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What the AI does in this scenario

  • Raw brain-dump in, prioritized conversation plan out
  • The difficult topic gets a suggested opener, not a euphemism
  • Carry-over slot for what you promised last time
  • Works both directions: manager preparing, or report managing up

Worked example: write one-on-one talking points with ai

Input

For 1:1 with my manager: shipped the migration early. annoyed that my design doc sat unreviewed 2 weeks. want to ask about leading the payments workstream. also she mentioned a reorg rumor last time, follow up.

Output

Talking points (30 min): 1) Open with the win — migration shipped early, one sentence, don't over-sell. 2) Follow-up owed: the reorg rumor she raised. 3) The ask: payments workstream lead — tie it to the migration result. 4) The friction (opener: "Can we talk about review turnaround? My design doc waited two weeks — what would make that faster?"). Close: agree one concrete next step on #3.

How to write one-on-one talking points with ai — step by step

  1. 1
    Brain-dump without editing

    Everything on your mind about this person and this working relationship, unsorted, into @vustbot. Ordering while dumping is exactly the cognitive load you're delegating.

  2. 2
    Ask for priority plus one opener

    Have the model sequence the items for a real conversation arc — win, business, the ask, the hard thing — and draft an opening sentence for whichever item you're most likely to chicken out of.

  3. 3
    Bring three points, not ten

    Cut the generated list to what fits the slot; a 1:1 is a conversation, not a review meeting. The discarded items seed next time's dump.

AI vs doing it manually

Preparing 1:1s manually works when you already keep a running topics doc — many great managers do, and a model adds little to that discipline. The realistic case is the other 80%: walking to the meeting assembling thoughts in the corridor. There, the AI's contribution isn't insight — it's sequencing and nerve. It puts your buried "I want the payments lead" third instead of never, and hands you a non-confrontational opener for the friction item. The content was always yours; what the model removes is the improvisation tax.

The prompt to copy

Turn these raw notes into talking points for a [LENGTH]-minute one-on-one with my [MANAGER/REPORT]. Prioritize into max 4 items with a suggested order: quick win first, hardest item second-to-last. For the most difficult item, draft a neutral opening sentence. Add a "carry-over" slot if my notes mention past promises. My notes: [PASTE RAW THOUGHTS]

Frequently asked questions

Related in Meetings

Try it on your real task

The welcome bonus covers a first run — send the prompt above with your own facts and judge the output yourself.

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