A visible trail
Each handoff gets a place in the activity log. Follow the sequence instead of guessing what happened.
Thoughtful orchestration for AI workflows
A good workflow is more than a collection of agents. See the handoffs, shape the work and keep the whole loop in view.
See the work, not just the output
Try a complete workflow without connecting an account.
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Illustrative estimates for this demo. Actual savings depend on your models and workload.
Make the handoffs work harder
Remove a redundant drafting pass. Give each agent a clear role. Keep a review step where it matters.
A control room should make it easier to understand what happens next.
Each handoff gets a place in the activity log. Follow the sequence instead of guessing what happened.
Pause a simulation between steps. Stop a run when the direction needs to change.
Check estimated tokens before a task starts. Oversized tasks wait for you to adjust the budget.
No. This version is an interactive demonstration of workflow controls. Tasks, token estimates and activity messages are simulated locally. Real agent connections, credentials and remote execution are not implemented.
The standard demo has four steps totaling an estimated 2,400 tokens. Optimization removes a redundant writing pass, leaving three steps and 1,800 simulated tokens. This is a fixed scenario, not a measured production saving.
Use Export workflow to download the task queue, settings and activity log as JSON. The demo does not store information between page reloads or send your task text to a server.
Demo interactions run in this tab and are not uploaded. Closing or reloading clears the session. Cloudflare hosts the website and processes standard connection information to deliver it.