Multiple agents work your task. Each sees only what it needs.
Preview the plan, approve the action, expand the receipt.
Today's AI tools hand your entire context to every agent in the chain. You trade privacy for convenience.
Your email, calendar, budget, browsing history — all exposed to every service, with no partitioning.
Multiple agents acted on your behalf. Which ones? What did they see? No receipts, no proof.
Agents execute before you know what they'll do. No plan to review, no scope to narrow.
You describe what you want. Agents come to you with only what they need. The output is the interface.
Before anything runs, you see which agents will act, what each one will see, and what it will return.
Each agent gets a cryptographic scope — just the data it needs, with a TTL that expires. Nothing more.
Results merge locally into one outcome block. Expand it to see who contributed and what each agent saw.
Three agents, one canvas. Each sees only what it needs. You see everything.
▶ 3 agents contributed • None saw your full context
Agents come to you and get only what they need.
Each agent gets exactly the data it needs, with a TTL that expires. Nothing more.
"3 agents contributed. None saw your full context." Privacy you can see, not just a policy.
Results merge locally. The synthesizer never makes a network call. Your data stays yours.
See the plan before it runs. Know what each agent will do and see before you approve.