How Do You Test an AI Workflow That Never Gives the Same Answer Twice?

Description and use

<h1> How Do You Test an AI Workflow That Never Gives the Same Answer Twice? </h1> <p>You wrote a test for your AI workflow. It passed on Tuesday. It failed on Wednesday. Same input. Same test case. Same prompt. Different output.</p> <p>So you ran it again. It passed.</p> <p>Welcome to testing non-deterministic systems. The testing strategies most developers know were built for deterministic code: same input in, same output out, green checkmark. AI workflows don't work that way. The model generates a different response each time because it samples from a probability distribution, not a lookup t

Problem

<h1> How Do You Test an AI Workflow That Never Gives the Same Answer Twice? </h1> <p>You wrote a test for your AI workflow. It passed on Tuesday. It failed on Wednesday. Same input. Same test case. Same prompt. Different output.</p> <p>So you ran it again. It passed.</p> <p>Welcome to testing non-deterministic systems. The testing strategies most developers know were built for deterministic code: same input in, same output out, green checkmark. AI workflows don't work that way. The model generates a different response each time because it samples from a probability distribution, not a lookup t

Outcome

<h1> How Do You Test an AI Workflow That Never Gives the Same Answer Twice? </h1> <p>You wrote a test for your AI workflow. It passed on Tuesday. It failed on Wednesday. Same input. Same test case. Same prompt. Different output.</p> <p>So you ran it again. It passed.</p> <p>Welcome to testing non-deterministic systems. The testing strategies most developers know were built for deterministic code: same input in, same output out, green checkmark. AI workflows don't work that way. The model generates a different response each time because it samples from a probability distribution, not a lookup t

Evidence

How Do You Test an AI Workflow That Never Gives the Same Answer Twice?

Source