We reduced noise. We improved clarity. We even changed accents.
But sometimes the biggest meeting problem isn't background noise. It's Todd. odd from Finance. Todd who turns a 30-second update into a 12-minute spoken-word essay about spreadsheets. Todd who says "just to piggyback off that" and then doesn't piggyback he builds an entire second pig.
So we built AI Deboringifier
A Voice AI feature that detects boring speech patterns and automatically makes them less boring. https://x.com/krispHQ/status/203...
Our users have been asking for this integration since day one, especially after Krisp added an AI note taker to its Voice AI app. In fact, it got 6x more votes than the second most-requested integration.
Which naturally leads to the next question: why did it take us so long to build?
We just shipped Krisp MCP as a connector in Claude, and it's changing how we think about this. Instead of treating meetings as isolated events, your AI assistant can now search transcripts, pull action items, and reference meeting context on the fly.
The bigger question I keep coming back to: what's your system for turning meeting context into actual work? Would love to hear what's working (or not) for others here.