Building with AI: A Product Ops Community Lightning Talk

Agents, automation, vibe coding — product ops teams are building with AI in ways that didn’t exist a year ago. But what does that actually look like inside a real product ops team?

In this community-led session, Product Ops HQ members share what they’ve been building, experimenting with, and learning across their workflows:

🎤 Pourush Kalra shares Meeting Maestro, the tool he built to turn meeting transcripts directly into Jira stories, cutting hours of manual write-up work.

🎤 Neha Tiwari from Sayari walks through her team’s end-to-end intake-to-execution workflow — from Salesforce intake, through triage, to R&D planning and prioritization — plus how her team uses MCP to agentically break initiatives into epics and stories, and how Claude powers their scheduled exec reporting straight from Dragonboat data.

Each speaker gets 10-15 minutes and one brief: be honest. What they tried, what worked, what didn’t, and what they’d do differently. Followed by open discussion — bring your questions, and your own experiments. Whether you’re deep into agents or just getting started, this is a space to learn from people actually in the thick of it.

Product Ops HQ is brought to you by Dragonboat, the product operating system that helps teams and AI agents decide, plan, and act across the full PDLC—aligning strategy, execution, and outcomes at AI speed and scale.