The Agents
Agents that show up on their own.
Give an agent a skill and a trigger — a schedule, an incoming event, or a webhook — and it runs without anyone prompting it. Every run is recorded, so you always know what it did and what it cost.
How it works
Give it a skill and a trigger. It does the rest.
01
Trigger
Run every weekday at 9am, the moment a deal is marked won, or whenever an external system posts to a webhook. One agent can carry several triggers without duplicating the skill.
02
Observe
Open any run to see the steps it took, the tools it called, how long it ran and what it cost. When something fails, the failing step and its inputs are right there.
03
Control
Set a per-run spend cap, choose the model, and decide who's notified on success or failure. Pause any agent the moment you want to.
In the box
Everything a run needs, accounted for.
Run history
Every execution retained and searchable — audit what an agent has done over time.
Event replay
Re-run an agent against a stored trigger event to reproduce a specific execution.
Sub-agents
Big jobs delegate to child runs, and the cost rolls up to the parent automatically.
Spend caps
A per-run budget the agent cannot exceed, set right next to the agent.
Timezone-aware schedules
Cron schedules that respect your working day, not the server's.
Webhook endpoints
A per-agent endpoint with rotating secrets, for anything external to fire.
Autonomy isn't a black box. It's a ledger.
Every run shows its steps, its tool calls, and its cost — so handing work to an agent never means losing sight of it.
Put every AI agent in one place
Get access to build and share your first agents, or book an intro and we'll walk through your setup together.