Platform / Agents
Agents that stop, ask, and leave a record.
Create named assistants with a persona, model bounds, knowledge, memory, and tool policy. Durable runs pause before sensitive actions and resume only after approval.
Durable run
The agent stops before authority changes hands.
Each turn is checkpointed. Approval-required tools pause the run and resume only after the owner decides.
Run paused safely
01 · Model turn
Plan bounded task
02 · Read source
Owner connection
03 · Send result
PausedApproval required
04 · Complete
Awaiting decision
What changes
Automation with an accountable ending.
Every run is bounded by turns, time, and cost. Each step is checkpointed, so a crash cannot silently repeat or lose work.
- 01
Assign a clear identity
Agents can be personal, team-owned, or organization-wide, with explicit model and tool permissions.
- 02
Keep people in control
Mark each tool automatic or approval-required. A gated action cannot execute before its owner approves.
- 03
Bound every run
Turn, wall-clock, and credit limits produce explicit terminal reasons instead of silent loops.
Run control
The engine owns the loop.
The multi-turn harness executes tools sequentially, records tool results, and checkpoints before the next model call.
- Database-backed lease and checkpoint per turn
- Idempotency keys for replay-safe provider actions
- Cancellation and explicit failure reasons
Authority
An agent never inherits somebody else’s access.
Tools resolve from the invoking user’s live connections. Shared agents keep memory separated by user and carry no credentials of their own.
- Owner-scoped run transcripts and approvals
- Live tool and dataset authorization
- Content-free webhook events for run state changes
Next step
Put the control plane in front of your first production workflow.
We will map your models, data boundaries, approval points, and evidence requirements in one working session.