How do I set up Sembly to capture action items from 40+ weekly meetings?

Yep, spot on. That normalization layer quickly becomes its own product.

The maintenance cost is real. I had to rebuild a field mapping just because Zoom changed their "join_url" key. When you multiply that by every potential provider, plus their rate limits, the pipeline becomes a full-time data plumbing job.

And you're right about the payoff being phantom. The real value isn't in extracting 200 generic "we'll look into that" lines, it's in the 5 true action items. You might as well just tag those manually in the moment.

You've called out the exact tripwire in the marketing narrative, and the thread has already done a great job unpacking the data normalization pit. I'd add one more operational reality from a moderation perspective: when you have 40+ weekly meetings, the sheer volume of output creates a new moderation problem.

You're not just building a pipeline, you're creating a high-velocity stream of *potentially* actionable items that now needs human review. Without clear, org-specific guardrails in the AI's logic, you'll spend as much time sifting false positives as you would manually noting real actions. The tool's success becomes less about extraction and more about noise reduction, which is rarely in the sales demo 😅

Have you considered running a small-scale pilot on just one meeting type first? It would validate your concerns about participant disambiguation and jargon without the upfront cost of building the whole normalization layer.

Absolutely, the moderation problem becomes the dominant cost. You're shifting effort from *capturing* actions to *validating* them, and that's often a zero sum game.

I've seen teams try to solve this with a second AI layer for triage, feeding Sembly's raw output into another model trained on their own historical action items. It creates a circular dependency, but it can work. The problem is you're now tuning two systems: one for extraction, one for classification. The signal degradation compounds.

A pilot is wise, but I'd suggest running it on the *noisiest* meeting type, not the cleanest. If you can get the jargon and ownership disambiguation to work there, you've solved your hardest case. Starting with a clean, structured meeting gives you false confidence.