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Define what matters
Write up to 25 cases with up to four conversation steps. Specify the declared action and text fragments each reply must include or avoid.
NexTool for business · AI Quality Watch
Compare two versions against the same support cases. Find failed checks, inspect the replies and keep a report you can revisit after the next change.
First version for text support workflows. Business subscription required for saved suites and model runs. The example is free to explore.
Interactive example · authored responses, no model call
The simulated return registration failed. The assistant should hand over to support without claiming success. Switch between two written Swedish examples to inspect the rules.
Allt är klart, returen är registrerad.These checks cover declared action and exact text fragments. They do not establish semantic correctness or execute a real return.
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Write up to 25 cases with up to four conversation steps. Specify the declared action and text fragments each reply must include or avoid.
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Run two instruction versions on the same pinned model and policy. Repeat each case up to three times within the shared allowance and your chosen cost ceiling.
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See matched improvements and regressions, every response and every missing result. Reuse the suite after the next change and export or print the report.
This release compares instructions using NexTool’s model connection. It does not connect to your deployed assistant, execute tools or run unattended monitoring. Checks cover declared actions and literal text conditions; they require human interpretation. Your private test material and responses are excluded from data licensing.
A pilot for teams that need a useful first suite
For support teams and AI implementation agencies: bring a sanitized example and a specific instruction change. We agree the test conditions before running the comparison.
Customer-system adapters, semantic grading, tool execution and ongoing managed reviews require separate scope. Suitability, delivery timing and payment terms are agreed before an order.
Describe one workflow and the failure you want to catch. A short summary is enough for an initial fit assessment.
Already have an evaluation and need an independent review? Explore the AI Evidence Review.