Ranges, not promises
Each task draws from its min, likely, and max values. The likely column is one point on that distribution, not a confidence level.
Rack arrival to training
A likely finish is not a deadline confidence. Propagate task uncertainty across the dependency graph, then see which work actually controls readiness.
Source boundary: the supplied post's 19-day statement is used only as a scenario target. This tool does not verify its historical, company, model, infrastructure, scale, ownership, or future claims.
Bundled sample ready: seven tasks from rack receipt through training smoke test.
The graph, 10,000 duration trials, and controlling-path counts are computed locally from the task table.
10,000 seeded trials
Each task draws from its min, likely, and max values. The likely column is one point on that distribution, not a confidence level.
Graphlib validates the DAG. Every task starts only after all predecessors finish, so parallel work can still create a controlling join.
A task's percentage is how often it lands on the longest sampled path. That is mitigation evidence, not an arbitrary priority score.
Analyze a valid schedule to unlock its evidence export.