Automatically grade your AI chatbot's answers for correctness

Uses a second AI to check whether your chatbot's answers actually match the correct answer, catching wrong responses automatically.

How the work actually flows

A straight line. Runs once per each test question.

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

flowchart TD trig(("user runs test batch")):::human s0[["run test questions"]]:::mi s1["chatbot generates answer"]:::task s2["compare answer to correct one"]:::task s3["score correct or incorrect"]:::task s4["generate accuracy report"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 s3 --> s4 out[/"chatbot correctness accuracy report"/]:::out pay{{"ongoing quality checks without manual review"}}:::pay s4 --> 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 stepRuns once per itemA personResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsAI Chatbots & AssistantsReporting & Analytics
Connects
OpenAI

The problem it solves

You've deployed an AI chatbot but have no reliable way to know if its answers are actually correct once it's live. Spot-checking a handful of conversations by hand doesn't scale, and mistakes can slip through for weeks before anyone notices.

Who it fits

Businesses running a customer-facing or internal AI chatbot that needs ongoing quality checks.

How it works

  1. A batch of test questions with known correct answers runs through the chatbot
  2. The chatbot generates its answer as usual
  3. A second AI compares that answer to the correct answer for meaning, not just wording
  4. Each answer is scored as correct or incorrect
  5. You get a report showing where the chatbot is getting things right or wrong
What you get

Wrong chatbot answers caught automatically

You get a clear report showing exactly which of your chatbot's answers match the correct response and which ones missed the mark.

What you get

A correctness score for each test question plus an overall accuracy report for the chatbot.

What you need

An OpenAI API key and an account for the automation platform running the chatbot.

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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