The way we work is changing.
For real this time.

We've watched every wave of AI hype. The promises, the bubble, the skeptics, the breakthroughs. And after all of it, one thing is clear: the shift is actually happening. Not in the way the headlines predicted — not robots replacing everyone overnight — but in a quieter, more fundamental way.

The operational layer of product work is being absorbed by AI. The copy-pasting, the ticket writing, the context-gathering, the "can someone make a Jira ticket for what Sarah said in Slack?" — all of it. AI is already better at this than we are. And it's only getting faster.

But here's what AI still can't do: read a room. Weigh a tradeoff that involves company politics, user empathy, and a tight deadline — all at once. Sense that a feature sounds good on paper but will silently break the onboarding flow. Make a judgment call when the data says one thing and your gut says another.

That's strategy. That's human. And we believe it will stay that way for a long time.

The problem isn't your tools. It's how many of them you're operating.

Your stack is probably good. Slack for conversations. Linear for tracking. GitHub for code. They're battle-tested. They work.

But you — the PM, the founder, the person making the decisions — you're the one stitching them together. You're reading Slack threads, copy-pasting context into Linear, checking GitHub for what's actually been shipped, and then opening a Google Doc to write a PRD that summarizes what you found across all three. You're the integration layer. And that's a waste of the most strategic person in the room.

We don't think the answer is replacing those tools. They're great at what they do. The answer is changing who — or what — operates them.

Enter Lisa.

Lisa is an AI product intelligence agent that sits on top of your existing stack. Think of her as the new front-end for your workflow. Slack, Linear, and GitHub become the back-end — still running, still synced, still where your team works — but Lisa is the layer where strategy happens.

Instead of opening four tabs to figure out what to build next, you talk to Lisa. She already knows what's in your Slack channels. She's read your codebase. She understands your Linear board. And when you say "I want to build a notification system," she doesn't hand you a blank page. She asks the hard questions, surfaces the edge cases, maps the dependencies, and generates a plan your team can actually ship.

She doesn't ask you to change your tools. She doesn't ask you to migrate anything. She just takes the operational weight off your plate so you can do what only you can do: make the decisions that matter.

Not another tool. The tool.

We built Lisa because we noticed something: every new AI product wants to be your next platform. Another dashboard. Another place to check. Another workflow to learn.

That's the opposite of what PMs need.

Lisa isn't another tool in your stack. She's the one tool that connects everything you already use — and gives you back the hours you were spending being an operator instead of a strategist. She suggests different angles. Surfaces what you'd miss. Presents tradeoffs you hadn't considered. And then you decide. Because the decision is yours. The busywork isn't — not anymore.

What you'll find here

Your role isn't going anywhere. It's going up.

The best PMs we know don't want to spend their days formatting tickets and copying Slack messages into docs. They want to think about the product. Understand the user. Make the call.

Lisa handles everything below that line — so you can operate above it.