Task Organizer Prover MCP, Ready to Go

It identifies the critical path, which is the longest chain of dependent tasks. By focusing on these first, you can see exactly what will delay your launch and adjust your resources accordingly.

Yes, it calculates real productive hours instead of assuming 8 hours of pure work. It also sets WIP limits to ensure your team isn't trying to juggle too many tasks at once.

It is a statistical method used to estimate project duration. It combines optimistic, most likely, and pessimistic scenarios to give you a much more accurate timeline than a simple guess.

It forces the AI to pass five specific checkpoints. It can't just list tasks; it must rank them, map dependencies, calculate math-based estimates, and define clear deliverables.

Absolutely. It can model complex physical dependencies, like ensuring a foundation cures for the required number of days before framing begins.

Yes, it converts vague activities into SMART deliverables. Instead of 'researching pricing,' it forces the agent to define a specific output, like a 1-page matrix with 5 competitors.

Flat lists hide blocking dependencies, treat all tasks as equal priority, and ignore capacity constraints. The critical path — the longest chain of dependent tasks — determines minimum completion time. Without mapping it, you discover blockers mid-sprint.

Meetings, email, admin consume 30-50%. Productive deep work: 4-5 hours/day. Context switching costs 23 minutes per switch (UC Irvine). 5 switches/day = 2 hours lost. WIP limit: 2-3 concurrent tasks. Target 70-80% utilization — 100% causes burnout.

Finished = stopped working on it. Done = meets acceptance criteria. 'Write report' is an activity. 'Deliver board-ready Q3 analysis with 3 recommendations by Friday' is an outcome with SMART criteria and clear acceptance.