Estimation Prover Connector for AI agents.

It forces a rigorous breakdown of your project into small tasks. By identifying risks and historical data early, it helps you set realistic dates that you can actually hit.

Yes. It provides a data-backed reason for your timelines. Instead of a guess, you can show a breakdown of scope, risks, and buffers to justify your dates.

The Planning Fallacy is the human tendency to underestimate project time. This Connector fixes it by requiring evidence, like historical precedents and risk mapping, before a date is set.

While it is optimized for software development, it can be used for any project with complex dependencies, risks, and a need for granular scope decomposition.

It prompts you to explicitly name and rank risks like API reliability or knowledge gaps. This ensures they are accounted for in your final buffer rather than being surprises later.

That is exactly what it is designed for. It forces you to decompose large, vague milestones into discrete units of work that are usually two days or less.

It analyzes the inputs based on a 5-pivot validation. You provide the task decomposition, risk mapping, historical context, buffer metrics, and assumptions. It rejects single-line guesses or projects without buffers.

The capability enforces a minimum 20% buffer on projects with clear precedents, and increases to 40% or more for complex integrations, new frameworks, or systems with high architectural risk.

It forces you to compare the new project with similar work completed in the past. If your past authentication integration took 3 weeks instead of the planned 1 week, you must adjust the new estimate's baseline accordingly.