Gaayathri Murugan

Gaayathri Murugan

VelozityVelozity
I build products that make life simpler

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Meeting data might be the most underused context in your AI workflow

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.

AI can build faster than ever. But are we losing the user?

With tools like Claude Code, we re entering a world where products can be built end-to-end inside AI workflows.

But there s a problem I ve been thinking about: As building gets faster, user research risks getting left behind.

At Velozity, we ve been working on solving this by launching an MCP server that brings user research directly into these environments.

Now inside your coding workflow, you can:

AgentsReady.Store - Free AI Agent Readiness Analysis for your e-commerce Store

A few days ago, I asked ChatGPT to recommend running shoes for me. It knew my size, my preferences, and came up with good options with links to buy. Do you ever wonder why some stores are recommended by AI and others are invisible? The question led me down a path to build this tool to help D2C e-commerce brands become visible to these AI Agents. If you own an online store, drop your website URL in this tool to get an AI Visibility Analysis and action items to address the gap.
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