Test AI chatbot answers automatically with an AI judge

Runs your AI's past answers through an AI judge that scores each one pass or fail and logs the results in a spreadsheet.

How the work actually flows

A straight line. Runs once per each test case in the list.

Pattern: Sequence (1) ยท Multiple Instances without Synchronization (12)

flowchart TD trig(("you run the test check")):::human s0[["read test cases"]]:::mi s1["send case to AI judge"]:::svc s2["score pass or fail"]:::task s3[("log result to sheet")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"spreadsheet log of pass fail results"/]:::out pay{{"tracks AI answer quality over time"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
A stepAn outside serviceRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Spreadsheet & Database OpsAPI & Webhook Integration
Connects
Google SheetsOpenRouter

The problem it solves

If you're building or maintaining an AI tool, you need to know when its answers start going wrong. Manually reviewing every test case against the expected answer doesn't scale once you have more than a handful of examples.

Who it fits

Teams building or maintaining AI-powered tools who need to track answer quality over time.

How it works

  1. You run the check against a list of test cases stored in a spreadsheet
  2. For each case, the input, the AI's answer, and the correct reference answer are sent to an AI judge
  3. The judge scores each answer as a pass or a fail
  4. The results are logged into a separate tracking sheet
What you get

Answer quality trends you can track over time

You get a running record of how well your AI answers questions, scored automatically against the responses you expect.

What you get

A spreadsheet log showing which AI answers passed or failed, ready for review.

What you need

A Google Sheets account and an OpenRouter API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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