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Built for higher education

The professor defines the education.
Tallam helps deliver it.

A focused learning workspace with AI under your authority. Organize the course. Review the changes. Keep the teaching yours.

MVP in development. Instructor access is provisioned separately. Preview and planned features are clearly labeled.

Tallam WorkspaceDemo data
Courses ENV 201 Review proposal

Environmental Systems

A clearer path from syllabus to course.

Pending review
Proposed module update

Before

Week 3 · Ecosystems

Understand how ecosystems work.

Proposed

Week 3 · Ecosystems

Map energy flow through an ecosystem and explain the impact of one disruption.

Nothing changes until the instructor approves. Approved changes appear in revision history.
Example source: ENV 201 course syllabus
Illustrative workflow with synthetic course content. AI editor currently verified with a deterministic mock provider; live AI remains unverified.
  • Review before applying
  • Role-based course access
  • Persistent revision history

One connected vision

Designed around the way you teach.

Start with a reliable course workspace. Build toward course-grounded support and explicit AI boundaries.

See what’s available
Core tools available

Tallam Workspace

Less administration. More intention.

Bring courses, modules, and enrollment into one focused workspace. Review proposed changes side by side and keep a revision history.

AI editing verified with a mock provider.

Planned

Tallam Tutor

Support that stays inside your course.

The planned course tutor will guide students using professor-approved materials, so the support follows the learning you designed.

Student tutoring is not available yet.

Planned

Tallam Control

Make the rules of AI assistance clear.

Set a future assignment-by-assignment policy for AI assistance and make the boundaries visible to students before they begin.

Assignment AI permissions are not available yet.

A considered workflow

From course idea to an approved change.

AI is useful when the instructor can see what it proposes, where it changes the course, and what happens next.

  1. Start with your course

    Create a course and its modules, or bring a syllabus into the AI editor. Your course is the source of context.

  2. Inspect a concrete proposal

    Compare the original with the proposed changes. See what is added, revised, removed, or moved before you decide.

  3. Approve with a record

    Apply only the changes you accept. Revision history gives you a persistent record and a path to restore earlier course content.

Clear expectations

Know what you’re starting with.

A useful product starts with an honest description of what works and what is still being built.

What can I use today?

Tallam has account access, role-based workspaces, course and module management, enrollment, and student course views. The AI course editor has a review-and-approve workflow verified with a deterministic mock provider. Live AI generation remains unverified.

Can students sign up?

Yes. Self-registration creates a student account, and email confirmation is required. A course appears after an instructor enrolls that email. Instructor access is provisioned separately; creating an account does not grant teaching permissions.

Does AI change my course automatically?

No. The course editor creates a proposal. You inspect the before-and-after view and explicitly approve or reject it. Approved changes are recorded in revision history.

Is Tallam ready to replace an institution’s LMS?

Tallam is an MVP in development. Institution-wide administration, LMS integrations, live AI validation, Tutor, and Control are still ahead. Evaluate it in a limited pilot before relying on it for an institutional rollout.

Your judgment stays central

Give your course a clearer workspace.

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