21 July 2026

🧑‍🎨 Custom 3D Avatars Have Moved to Avaturn

Custom 3D avatar creation now runs on Avaturn. Our previous avatar provider, ReadyPlayerMe, has been discontinued, so we've moved to a platform we can keep building on — with a better editor and more expressive characters.

What's changed:

💡 Avatars you created previously still display as normal. When you next want to edit one, you'll need to recreate it in Avaturn. Built-in avatars are unaffected, and Walter remains the default.

🎙️ Real-Time Voice Role Plays

Role plays can now run as a real-time spoken conversation. Rather than speaking, waiting, then hearing a reply, the learner and the AI character talk to each other in real time — the character responds as the learner speaks, and either can take the next turn naturally.

What's new:

⚠️ Enable it per role play. Real-time voice is set on the individual role play in the Admin Portal, not organisation-wide. Open the role play's settings, switch on real-time voice, and pick a voice. It applies to role plays running in agentic mode.

🎓 Add NoodleMe to Your LMS Course

NoodleMe now appears in the LTI Deep Linking activity chooser, alongside the AI Tutor, knowledge groups, role plays and quizzes. Teachers can place NoodleMe directly into a course so students reach it from the LMS rather than navigating separately.

🔒 Finer Control Over Who Sees NoodleMe

Enabling NoodleMe for your organisation no longer means enabling it for everyone.

What's changed:

💡 NoodleMe is not available on Starter and Educator plans.

🚀 A Clearer Way Into a Space

Students told us it wasn't obvious how to begin. A Start Learning button now appears on the Space card and at the end of setup, so the next step is always visible.

🧭 Spot Agentic Mode at a Glance

Agentic Mode now shows as an icon directly on the agent cell, so you can tell which agents are running in agentic mode without opening each one.

📄 Markdown Files in Knowledge

Course material doesn't always arrive as a PDF or Word document. You can now upload Markdown (.md) files anywhere you build knowledge, and they work across the flows that depend on it:

🔧 Fixes & Polish

7 July 2026

📓 Introducing NoodleMe — Students Build Their Own AI Tutor

NoodleMe is a mode inside Walter where students build their own AI tutor from their own notes, slides, handouts or lecture recordings — then share it with classmates.

How it works:

Why it helps: building a tutor forces a student to organise and explain what they know — learning by teaching — which is one of the most effective ways to study.

⚠️ Off by default. A superadmin enables NoodleMe for the organisation and decides how it surfaces. Until then, students won't see it.

💡 Bundled with your Walter subscription — each student can keep up to 3 Spaces at no extra cost. Unlimited Spaces are available as an institutional upgrade.

📱 Share a Space with a QR Code

Students can share a Space with classmates using a QR code, so a Space can be passed around in a lecture or tutorial without copying links.

📊 Progress and Insights Inside a Space

The Insights view learners know from Learner View is now available inside a Space.

Learners can see:

📄 Build a Space from Markdown Files or Web Pages

Source material doesn't have to be a PDF or Word document. Students can now add Markdown files or point NoodleMe at a web page URL when setting up a Space.

🧹 Tidier Spaces and Clearer Navigation

A pass over NoodleMe based on how students actually use it.

What's changed:

⚡ Faster Quizzes Under Load

A round of performance work aimed at the moments when a whole cohort is active at once.

What's changed:

✅ No action needed — applies automatically across the platform.

🔗 Larger SharePoint Document Syncs

The SharePoint sync now handles larger files, resolving cases where bigger documents silently failed to come through.

💡 Part of the SharePoint + PowerAutomate integration. If you sync from SharePoint and have hit size limits before, it's worth re-trying those documents.

🔧 Fixes & Polish


30 June 2026

⚡ Faster Quizzes Under Load

A round of performance work aimed at the moments when a whole cohort is active at once.

What's changed: