Process-based assessment for AI-assisted coursework

Let students write with AI, and see how each one worked

TeamShape is a workspace for written assignments, individual or in teams, with the AI inside it. It keeps the writing history of every document, so you can grade how the work was done as well as the final text.

Free for pilot instructors. Students work in the browser, with nothing to install.

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  1. 1Activity per student. Share of the text, pasted share, AI calls, chat messages and focus time, next to the median. An unusual value is marked.
  2. 2Writing history. Each student's text over time. A triangle marks a large piece of text that arrived at once; click it to see its source and its first words.
  3. 3Grade. Your rubric and a comment bank. An AI grader reads the same submission against the rubric, and its grade is shown once yours is complete.

A drawing of the grading view, with made-up students.

What is now possible

Take-home written work, with the AI inside the assignment

Many courses now move written work into supervised exams, or grade a final text without knowing how it was produced. With TeamShape, students write, discuss and use AI in one place, and the record of that work is there when you grade.

A drawing of a student's workspace, with made-up students. The team AI is shared: every member sees the questions and the answers.

AI in the assignment

Students use the AI you set up for the assignment, in the same window as their document.

How the text was produced

What each student typed, pasted and revised, and when, for every document.

A conversation with evidence

When a submission raises questions, you can go through its writing history with the student.

Features

What TeamShape gives you

An AI you set up

Choose the model, write its instructions and its first message, and pick the course materials it may read. Give each student a private AI, the team a shared one, or both. Your pages show how much each student used it.

Who wrote what

The writing history replays the document at any moment and attributes each change to a student. Large pieces of text that arrived at once are marked with their source, such as a paste from outside or text taken from the AI chat. An AI-text check (Pangram) can be run on each submission.

Fair grades in team work

In a team, each member's share of the text, pastes, AI calls and chat messages is shown side by side. If you choose, the team grade is split into individual grades according to each member's contribution.

Faster grading

Grade with your own rubric and a comment bank shared with your co-instructors. An AI grader reads each submission against the same rubric; its grade stays hidden until yours is complete, so it acts as a second reader. Publish the results per section when you are ready.

How it works

Three steps

1

Set up the assignment

The brief, the document template, the deadline, and the AI: which model, its instructions, and the course materials it may read. Or attach your syllabus and let the assistant draft it.

2

Students work in TeamShape

A document, a chat, a private scratchpad and the AI, in one browser window. In a team assignment the document and the chat are shared.

3

Review and grade

Read each submission next to its writing history and activity, grade with your rubric, and publish the results when you are ready.

An assistant that sets up the course with you

Attach your syllabus, calendar and class list. The assistant drafts the assignments, their AI settings and the roster, and asks about what it cannot find. A checklist shows what is still missing, and nothing changes until you press Apply.

A rubric or quiz questions it writes are marked as written by an AI, and the assignment cannot be published until you approve them.

During the term, ask it who has not submitted, how students used the AI, or how something in TeamShape works. It knows the page you are on and suggests what to do next there, such as grading the submissions that are waiting or publishing results. It answers in the language you write in, and runs on your own OpenAI, Anthropic or OpenRouter key.

A drawing of the assistant setting up a made-up course.

Students and their data

Students know what is recorded

Before they start, students read what is recorded and who sees it. The privacy policy says the same.

On your pages

  • ✓The document and its writing history: what was typed, pasted and revised, and when
  • ✓Counts per student: AI calls, chat messages, pastes and focus time
  • ✓Contribution scores, and the AI-check results on submitted work

Not shown on your pages

  • –The students' AI conversations, private or with the team
  • –The team chat and the comments on the document
  • –Each student's private scratchpad

Data is encrypted and kept for the course plus 12 months, under the GDPR. Using a student's data for research needs their separate consent. You decide every grade; the AI grader and the AI check inform it. Privacy policy

FAQ

Common questions

Can students still use ChatGPT in another tab?+

Yes. Text that arrives from outside is marked in the writing history with its time and its first words, and you can run an AI-text check on a submission. When the process counts toward the grade, students have a reason to do the work inside TeamShape, where it is recorded.

Can I read the students' AI conversations?+

No. Your pages show how often each student used the AI and the chat, and the full writing history of the document. The conversations, the chat messages and the private notes stay with the students, and they are told so before they start.

Does it work for individual assignments?+

Yes. An assignment can be individual or in teams. The writing history, the activity counts and the grading tools are the same in both.

Which AI models can I use?+

Models from OpenAI, or any model available on OpenRouter, chosen per assignment. The AI runs on your own API key, so you pay the provider directly for what students use. The course page shows each student's AI use per assignment, with the cost where the provider reports it.

Does it fit our school's AI policy?+

Many policies allow AI in some assessments and supervise others, as in the two-lane approach. TeamShape serves the assessments where AI is allowed. For supervised work in class, a quiz can ask each student to scan a code shown in the room before it opens.

Which assignments suit it?+

Any assignment in which students write: case analyses, reports, policy briefs, essays and project proposals, in degree programmes and in executive education. It also runs in-class quizzes with live results, and an AI tutor for exam preparation.

Free for pilot instructors

Register as an instructor; accounts are reviewed by hand, usually within a day. Then set up a first assignment, add your students, and see the writing history for yourself.

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