AI + MCP tools have made me feel like a different kind of PM.
I was ramping up on a new product and immediately hit a foundational question: what does an "active user" actually look like here?
Answering that meant wading through @Slack and @Notion , then turning it all into testable hypotheses. Fast.
With @Claude by Anthropic and @Venn AI , I got better research than I would have found on my own. It surfaced docs I hadn't seen yet, synthesized the most relevant data points, and drew on growth frameworks from Reforge and Elena Verna to help formulate the definition ideas.
The result: multiple candidate active user definitions, each with a validation approach. Something that would have taken 10+ hours took about 30 minutes.
I could have gotten there eventually. But 30 minutes instead of a day and a half changes what's possible in a fast-moving startup environment.
If you've explored MCPs, what workflows have you found most helpful?
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This resonates so much. On the recruiting ops side, I've started using AI agents to pull context from multiple sources before I even touch a candidate pipeline. What used to be a full afternoon of stitching together notes, job specs, and market data now takes about 20 minutes. The biggest unlock for me has been letting the AI synthesize first and then layering my judgment on top, rather than doing all the grunt work myself.
Venn.ai
@ceciliatran exactly! With Venn and all its connectors, I can pull in all the relevant context for AI to synthesize, saving a ton of time. Then output the result layered with my judgement directly into Gmail drafts, slack messages, etc.
My favorite of all, I can do this in the phone while on the go.