Agents / execution planning

AI Task Feasibility Checker.

Ask a simpler question before an agent starts: can this task actually be completed with the available evidence, permissions and tools? The checker turns hidden dependencies into an explicit execution decision.

The checker separates known capabilities from assumptions about access, evidence and external systems. A task can be technically plausible and still be blocked by missing authority or data.

Public utilityApify

Run the tool

The current public runtime is distributed through Apify, with API access for automated workflows.

Open on Apify ↗
Common tasks04

Where it fits

  • Agent preflight
  • Tool and permission checks
  • Research task planning
  • Workflow failure prevention

The boundary of the tool matters as much as the result. These are the assumptions we do not hide.

Does feasible mean guaranteed success?

No. It means the stated requirements are present enough to proceed; execution can still fail.

What happens with unknown dependencies?

They remain explicit and can block or downgrade the decision.

Can it sit before another agent?

Yes. It is designed as a bounded preflight step before a longer workflow.

The utilities share a preference for explicit inputs, visible unknowns and machine-readable output.