Dolly vs Claude: what Dolly adds for teachers

Dolly writes questions, mark schemes, feedback and reports with Anthropic’s Claude models, through Amazon Bedrock. Claude does the reading and writing in each step; the workflow, the checks and the teacher’s review are what Dolly adds. Anthropic tells Dolly’s story among its customer stories at claude.com/customers/dolly.

Claude reads long documents, follows detailed instructions and writes clearly, which is why Dolly is built on it. A teacher can give Claude a specification, a mark scheme and an answer and get thoughtful feedback in a single conversation.

A general assistant answers the prompt it is given, and checking the answer is up to you. Dolly runs each task through a workflow built for teaching, with checks on what the model writes before a teacher sees it.

• Planning, then writing: a subject-specific agent plans what each question should assess against the specification, and a separate agent writes it.
• Every extended-response question is checked against a schema for its subject and for things a student could not answer, such as a reference to a diagram that is not there. A question that fails is sent back to be rewritten.
• Every quiz question is checked for its structure, that the marked answer is among the options, its maths, that the explanation matches the answer and that no two options repeat. A quiz with too many errors is rejected rather than set.
• Each mark is checked against the mark scheme’s structure before it is saved, with a confidence score for the teacher.
• Nothing reaches students until the teacher has checked it and published it.

• A library of UK exam board specifications, or your own upload, and subject-specific agents that research each topic.
• A mark scheme written with every extended-response question, and every answer marked against it.
• Classes, with students submitting work in their own app.
• A confidence score on every mark, and nothing sent to students until you publish it.
• Class gaps, personalised flashcards from each student’s gaps, reports for the whole class and MIS sync through Wonde.

Claude’s consumer terms say users must be at least 18, so pupils cannot use it directly. In Dolly, students join a class their teacher sets up and submit work there; the AI behind the marking is never something a student signs up to.

Dolly stores your data on AWS in London and complies with UK GDPR. Writing and marking run on Anthropic’s Claude through Amazon Bedrock in the EU, and Bedrock does not use your content to train models or share it with model providers.

The Department for Education’s guidance on generative AI in education (updated 12 August 2025) asks schools to check AI output before relying on it, to keep personal data out of generative AI tools where they can, not to let pupils’ original work train AI models without permission, and to follow each tool’s age limits.

If you want a general assistant for planning, writing and thinking things through, use Claude. If you want your class’s work set from your specification, marked against a mark scheme with your students submitting directly, and turned into follow-up and reports, that is what Dolly is for.