Local-first Canvas LMS agent

Canvas Pilot

A workflow layer for recurring Canvas coursework. It scans Canvas, writes an approval plan, and executes only approved draft-and-review workflows through reusable course patterns.

scan -> approval -> execute Work begins only after the student approves the plan.
course pattern memory Repeated weekly assignment shapes become reusable workflows.
local-first Credentials, drafts, runs, and course overlays stay on the user's machine.

What it does

Not just Canvas access. Durable workflow reuse.

Canvas API tools can tell an agent what exists in Canvas. Canvas Pilot is built around what repeats: where a course hides its real specs, which output format the instructor expects, what verification checks matter, and where the student must approve the next action.

Scan

Read configured Canvas courses, bucket pending work by urgency, and write a plan instead of starting work immediately.

Approve

The student reviews the plan and chooses what can run. The approval boundary is part of the product, not a prompt suggestion.

Execute

Approved items dispatch into course-specific workflows that produce review-ready drafts, result files, and a run report.

Who it is for

Built for AI power users, not no-code consumers.

Canvas Pilot makes the most sense if you already use local agent tooling such as Codex or Claude Code and want repeated Canvas work to become a one-command workflow.

If you are not comfortable running an agent locally, reading a report, and reviewing generated drafts before submission, this is not the right product shape yet.

The public preview is a workflow framework. It is not a hosted homework service, not a policy bypass tool, and not a silent auto-submit bot.

Start here

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