Grade student assignments automatically with AI

Takes a submitted paper, grades it against your answer key with AI, and returns results as HTML and CSV.

How the work actually flows

It branches. Every path runs.

Pattern: Parallel Split (2)

flowchart TD trig>"assignment submission received"]:::trig s0["extract submission text"]:::task s1["ai grades answers"]:::task s2["build results table"]:::task trig --> s0 s0 --> s1 s1 --> s2 gx{"+ choose output formats"}:::gate s2 --> gx p00["generate html report"]:::task gx -->|"html report"| p00 p10["generate csv file"]:::task gx -->|"csv file"| p10 p00 --> out p10 --> out out[/"graded report in html and csv"/]:::out pay{{"consistent grading without hours of work"}}:::pay 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
Starts itA stepEvery pathResultPayoff
Build size
Advanced

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

Business functions
AI Agents & Autonomous SystemsDocument Processing & OCRReporting & AnalyticsAPI & Webhook Integration
Connects
OpenAI

The problem it solves

Grading a stack of assignments consistently takes hours, and it's easy for fatigue to creep into your scoring by the end. You still need a clear, exportable record of scores and feedback for every student.

Who it fits

Teachers and corporate trainers grading written assignments or exams at scale.

How it works

  1. Receives a submitted paper along with an answer key
  2. Extracts the text from the submission
  3. AI grades the answers and writes feedback for each one
  4. Builds a results table with scores and comments
  5. Returns the results as an HTML report and a CSV file
What you get

Papers graded consistently against your answer key

Submitted papers are graded against your answer key with written feedback delivered as HTML and CSV.

What you get

A graded results report available as HTML and as a downloadable CSV file.

What you need

An OpenAI account and a system that can submit papers to the automation.

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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