Workflow
Build a Test Suite for a Non-Deterministic AI Feature
Grade probabilistic output without brittle snapshot tests.
1 min readupdated 2026-08-01
/ quick answer
Test structure deterministically, quality with rubrics, and regressions with stored real failures. Grade probabilistic output without brittle snapshot tests.
Grade probabilistic output without brittle snapshot tests. The problem it solves: Traditional assertions fail on model output that is correct but worded differently. Test structure deterministically, quality with rubrics, and regressions with stored real failures. It runs in 6 steps, starting with layer 1 — structural: schema validity, required fields, no forbidden content. hard assertions. This workflow node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Problem
Traditional assertions fail on model output that is correct but worded differently.
Solution
Test structure deterministically, quality with rubrics, and regressions with stored real failures.
Steps
- 01Layer 1 — structural: schema validity, required fields, no forbidden content. Hard assertions.
- 02Layer 2 — behavioural: does the answer contain the required facts? Keyword and semantic checks.
- 03Layer 3 — graded: a model scores against a rubric; assert on the score threshold, not the text.
- 04Build the regression set from real production failures, never from invented examples.
- 05Run layers 1–2 on every commit; run layer 3 nightly (it costs tokens).
- 06Track pass rate over time as a release gate, and never ship a drop without explanation.
Tools Used
Prompts Used
Related Dictionary
/ frequently asked
What does the Build a Test Suite for a Non-Deterministic AI Feature workflow do?
Test structure deterministically, quality with rubrics, and regressions with stored real failures.
What problem does Build a Test Suite for a Non-Deterministic AI Feature solve?
Traditional assertions fail on model output that is correct but worded differently.
How many steps does Build a Test Suite for a Non-Deterministic AI Feature take?
6 steps. It starts with layer 1 — structural: schema validity, required fields, no forbidden content. hard assertions. and ends with track pass rate over time as a release gate, and never ship a drop without explanation..
Which tools does Build a Test Suite for a Non-Deterministic AI Feature need?
It uses ai-testing-stack — each linked below with its own node.
↳ connected nodes
Dictionary↳ linked
AI Testing
AI testing covers two things: using AI to generate and maintain tests, and testing AI systems whose output is non-deterministic.
Dictionary↳ linked
AI Evaluation
AI evaluation is the measurement layer of an AI system: a fixed set of cases, a scoring method and a tracked pass rate you can regress against.
Tool Stack↳ linked
AI Testing Stack
Test deterministic code and probabilistic AI output in one pipeline.
Prompt↳ linked
AI Test Generation Prompt
Generates behavioural tests and edge cases, not tautologies.
Workflow↳ linked
Build an AI Code Review Loop
Catch what agents get wrong before a human reads the PR.
Prompt↳ linked
AI Code Review Rubric Prompt
A reviewer prompt that finds real defects instead of style opinions.