Test which AI model extracts document data most accurately

The system runs your test documents through different AI models and grades each answer automatically.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues; runs once per one per test document.

Pattern: Parallel Split (2) · Synchronisation (3) · Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("test set ready to run")):::human s0["read test documents"]:::task s1[["convert document to text"]]:::mi s2["grade each answer"]:::svc s3[("log results to sheet")]:::store trig --> s0 s0 -->|"one per one per test document"| s1 s2 --> s3 gx{"+ which ai model to test"}:::gate s1 --> gx p00["run text through model a"]:::task gx -->|"model a"| p00 p10["run text through model b"]:::task gx -->|"model b"| p10 jn{"+ all models responded"}:::gate p00 --> jn p10 --> jn jn --> s2 out[/"scored comparison of ai models"/]:::out pay{{"confidence to choose the right ai model"}}:::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 sheetEvery pathWaits for allResultPayoff
Build size
Advanced

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

Business functions
Document Processing & OCRSpreadsheet & Database OpsFile & Cloud Storage
Connects
Google SheetsGoogle DriveOpenRouter

The problem it solves

You're considering using AI to pull information out of documents, but you don't know which model actually gets it right. Testing this by hand means reading through dozens of AI answers and judging each one yourself. Without proof of accuracy, it's hard to trust AI with real client documents.

Who it fits

A legal, compliance, or operations team evaluating AI tools before putting them into production.

How it works

  1. Test documents and expected answers are listed in a spreadsheet
  2. Each document is converted to text and run through the AI models being tested
  3. A second AI grades each answer as pass or fail with a reason
  4. The results are logged back to the spreadsheet
What you get

Model accuracy scores you can compare directly

Your test documents get run through every AI model you're evaluating, with each answer automatically graded pass or fail for accuracy.

What you get

A scored spreadsheet showing how accurately each AI model performed on your test documents.

What you need

A Google Sheets and Google Drive 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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