I’ve been experimenting with a “meeting → agent actions” workflow, and I’m curious how others here are handling reliability + guardrails.

I’ve been experimenting with a “meeting → agent actions” workflow, and I’m curious how others here are handling reliability + guardrails.

Problem I kept hitting: a lot of teams (especially with clients) don’t want an extra “recording bot participant” joining the call — sometimes it’s a hard no. So I built a botless approach that captures system audio locally and turns it into something agents can actually use. And also, waiting until after the meeting felt too slow — so I set it up so I can hand the live context to an agent mid-call, and get follow-ups/research/drafts moving before the meeting ends.

During the meeting

• Live captions (+ optional translation)
• A tiny on-screen overlay (so it doesn’t block what I’m working on)
• A running structured note / lightweight summary (not just raw transcript)

After the meeting
High-accuracy minutes
Speaker-attributed notes (helps assign action items to the right owner)

• One-click Markdown output (easy to paste into Slack / docs / a repo)

Agent part (where I’d love input)
 I then feed that Markdown into an agent workflow (e.g., Claude Code) and let it operate tools via MCP:

• Post recap + decisions + action items to Slack
• Create tasks in Linear (or whatever tracker)

Here’s the rough “shape” of the Markdown that seems to work well for tool-using agents:

GOAL
- From the MEETING NOTES below, please send a message in Slack and create tasks in Linear via MCP.
- What to do in Slack:
  - Follow the format in ~/note/template/sales.md.
  - Summarize the current meeting and clearly specify the owner(s), then post it to the Slack channel #meeting-note.
- In Linear, create an Issue in the "Sales Meeting" project:
  - Set the assignee to James for now.
  - Apply the latest Cycle.
  - Leave Estimate blank.
  - Choose an appropriate Priority and Labels based on the meeting content.

CAUTION
- If you get stuck with any operation, ask questions.
- At the end, reply with a complete summary of everything you sent and all changes you made.

MEETING MARKDOWN:
<<<PASTE MEETING NOTES MARKDOWN HERE>>>

Questions for the community:

1. What input format makes agents most reliable for “meeting → actions”? Raw transcript, structured notes, or hybrid?
2. How do you prevent the agent from hallucinating actions that weren’t agreed? Any verification patterns you like?
3. What guardrails do you use when an agent can touch Slack/Linear (approval steps, diff previews, dry-run, etc.)?
4. If you’ve done speaker attribution at scale: what’s “good enough” accuracy before it becomes net-positive?

If anyone wants to see a quick demo of the botless overlay + the Markdown export, I’ll put it in the first comment (following this sub’s “links in comments” rule). Happy to share prompts / guardrail ideas too.