AI AGENT

Meet Raphael, your institution's teaching agent.

Raphael is your institution's AI teaching agent. Ask it in plain language or by voice, and it plans the work, generates and marks it, writes progress reports and flags who needs help, then hands back structured cards you can review, edit and act on. Behind a single instruction, Raphael orchestrates a set of specialist agents to reach a finished, teacher-reviewable result.

See how Raphael works

Planning, assigning and marking work across every class is one of the most time-consuming parts of teaching, and it scales badly as an institution grows.

What Raphael does

Orchestrates specialist agents

Raphael plans each request and delegates it to specialist agents for questions, marking, feedback, lessons and analytics, then checks the results.

Ask in chat or by voice

Give Raphael an instruction in plain language or by voice, with a searchable history of everything you have asked.

Structured action cards

Raphael replies with cards you can act on, schedule the homework, publish the report or open the intervention list, not walls of text.

Long-range planning

Ask Raphael for a homework or test plan for weeks or months ahead, then review and schedule it in one go.

How it works

1

Ask Raphael, in chat or by voice, for what you need, such as a homework plan for a class.

2

Raphael plans the work and delegates each part to the right specialist agent.

3

Review the structured cards it returns, then edit or approve anything before it goes out.

4

Publish, and Raphael tracks completion, marks submissions and flags who needs help.

AI assists teachers while teachers stay in control, every task Raphael creates can be reviewed, edited or approved before it reaches a class.

How Raphael works

One instruction, orchestrated across specialist agents that plan, generate, mark and report, with the teacher in control at every step.

Teacher

“Mark my Year 10 physics mocks, draft feedback for every student, then publish to Google Classroom.”

Raphael, the orchestrator

Raphael reads the request, plans the workflow, then delegates each part to a specialist agent and checks the results before anything reaches a class.

Delegates to specialist agents

📝Question generatorBuilds exam-style questions and full papers.
Marking agentMarks work against the mark scheme.
💬Feedback writerDrafts personalised feedback per student.
🎞️Lesson & slidesGenerates lessons and presentations.
📊Analytics agentSummarises class trends and progress.
🔔Intervention agentFlags students who need help.
🗓️SchedulerPlans and releases homework and tests.
🔗IntegrationsSyncs with your SIS and Google Classroom.
Done

Marked papers, per-student feedback and a class report, ready for the teacher to review and published to Google Classroom. Every step stays teacher-reviewable.

Start today

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Mark my Year 10 physics mocks and draft personalised feedback for every student, then publish to GCGoogle Classroom

Starter prompts
PSGCImport from your SIS
Connect via MCP