AI Client Scope Workbench
Map customer requests to proposed deliverables and acceptance criteria, surface missing boundaries, and calculate an explicit effort assumption.
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How to use AI Client Scope Workbench
Before promising automation, make every requirement testable. Pair each request with its delivery and acceptance row, then review count mismatches and missing access or schedule details.
- Enter the original requirements, one per line.
- Pair each with a proposed deliverable and measurable acceptance criterion in the same order.
- Resolve the questions and review the effort assumptions before producing a quote.
Good to know
- The tool detects mechanical omissions and a small list of ambiguous words. It is not a semantic requirements analyst or feasibility guarantee.
- The equal effort per requirement is your explicit assumption. Additional rows are flagged rather than silently treated as agreed scope.
- Estimates use floating-point arithmetic, rounded for display. Inputs must be finite nonnegative decimals at most 1 billion (whole counts at most 1 million); nonzero inputs below 0.000000001 and results outside the supported range are rejected.
- Runs locally without AI model calls, network requests or saved input. Text is limited to 8,000 characters per field and lists to 100 nonempty lines. Downloads contain your text; review them before sharing.
Research behind this workbench
These cases explain the business mechanism. The workbench is ToolJovia's independent adaptation, not a claim about the company's internal workflow or an endorsement.
Common questions
Does the tool estimate engineering difficulty?
No. It multiplies the number of listed requirements by your assumed effort, then adds the review hours. A competent reviewer must estimate actual difficulty.
What happens if the lists have different lengths?
Unmatched rows are marked unresolved and count mismatches become clarification questions. Reconcile them before agreeing to scope.
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