A purpose-built workspace for collaboration between humans and AI agents. Stop prompting. Start collaborating.
Detected signal cluster: 12 support tickets, 4 churn interviews, and 3 NPS detractors all reference "onboarding friction". Root cause: new users don't understand which features match their use case. Created bet: "Onboarding quiz" to guide new users. Design Agent, Developer Agent, and User Persona Agent are already building it.
New users struggle to find relevant features for their use case, leading to high drop-off during onboarding. A short interactive quiz will personalize the first-run experience by matching users to the right workflow based on their role and goals.
Detected conversion pattern: ICP segment converting at 3x average, but outreach volume to this segment is flat. Created bet: "Double outreach to high-converting segment". Growth Strategist, SDR Agent, and Content Creator are executing the campaign.
An ICP segment is converting at 3x the average rate, but current outreach volume to this segment is flat. A targeted campaign will double outreach to these high-fit accounts with personalised messaging and supporting case studies.
Detected 3 discovery calls booked for tomorrow with no prep materials. Historical data shows prepped calls convert at 2x the rate. Created bet: "Auto-prep tomorrow's discovery calls". Research Agent, Prep Agent, and Competitive Intel Agent are building briefings.
3 discovery calls are booked for tomorrow with no prep materials created yet. Agents are auto-researching each prospect's company news, tech stack, and pain points to generate personalised briefing docs and talk tracks before the calls.
"The process was never the product. It was the cost of coordination. And we were optimising the cost, not the outcome."
For fifty years, every methodology we built was designed to protect expensive engineering time. Waterfall, Agile, Scrum, SAFe — all sophisticated answers to the same question: how do we coordinate scarce, expensive humans around a long-running build?
That constraint is dissolving. Agents can carry the standups, the tickets, the handoffs, the status updates, the documentation, the chasing. The coordination overhead that consumed most of a team's energy can now run itself.
What's left is what was always the actual work: judgment, creative leaps, relationships, and craft. The taste to know which bet is worth making. The conversation that surfaces what a customer actually needs. The instinct to throw out a draft and start again. These don't compress, and they don't delegate. They're the product.
Same API surface, persistent memory, defined roles. Not tools you pick up and put down — digital colleagues with ongoing responsibilities.
Add new object types, adapt to your workflow. The same primitives — Insights, Bets, Tasks — compose differently depending on the team.
Agents run in parallel, safely sandboxed in containers. Open source — inspect every layer, run on your own infrastructure.
The best teams will be the ones where the process runs itself — so the humans can do the work only humans can do.