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13.13 Send to Studio
Training Hub13. Studio Mode13.13 Send to Studio

13.13 Send to Studio

How to send a chat conversation to Studio so the AI can generate polished teaching materials grounded in what you discussed.

Send to Studio bridges CurricuLLM's Chat and Studio features. It lets you design a lesson, brainstorm ideas, or refine content in a free-form chat conversation, then send the entire conversation to Studio where it becomes a grounded source document. From there, Studio can generate polished teaching artefacts β€” podcasts, flashcards, quizzes, presentations, infographics, documents, and more β€” all informed by what was discussed in the chat.

Why this matters

Chat is great for brainstorming and iterating on ideas. Studio is great for producing polished materials. Send to Studio connects the two, so you can start with a vague idea in chat, refine it through conversation with the AI, and then produce the actual classroom materials β€” all without copying and pasting or re-explaining your context.


Who can use it

Any user with Studio access. The option only appears on regular chat conversations β€” it is hidden for conversations that are already in Studio.


Where to find it

In the chat sidebar, right-click (or long-press on mobile) on any conversation. The context menu shows Send to Studio alongside the other options (Pin, Archive, Delete).


What happens when you click it

The process is seamless β€” click the button, wait a moment while it shows "Sending…", and then you are redirected into a new Studio session with your chat conversation loaded as a source.

Behind the scenes:

  • Conversation export β€” The system takes all messages from the chat and formats them as a structured document. Each message is labelled with its role (Teacher for your messages, Assistant for AI responses), preserving the full flow of the conversation.
  • Upload and indexing β€” The document is uploaded and goes through the same ingestion pipeline used for any Studio source file β€” text extraction, chunking, contextualisation, and search indexing. This means Studio can semantically search across everything discussed in the conversation.
  • New Studio session β€” A fresh Studio conversation is created with the chat export attached as a source.
  • Redirect β€” You are navigated to the new Studio session, ready to start generating materials.

What you can do next in Studio

Once in Studio with the chat conversation loaded as a source, you can use Studio's full artefact generation capabilities. Studio grounds its output in the attached source material β€” meaning everything discussed in the original chat becomes context for generating:

  • Podcast β€” An AI-generated audio podcast with configurable speakers, duration, and tone β€” grounded in the lesson content from chat
  • Flashcards β€” A set of study flashcards with configurable count and cognitive level (recall, application, analysis)
  • Quiz β€” Assessment questions at configurable difficulty and cognitive levels
  • Presentation β€” A slide deck with configurable format (detailed, presenter notes, classroom) and tone
  • Document β€” A formatted document (report, summary, guide)
  • Infographic β€” A visual infographic with configurable orientation and detail level
  • Lesson Plan β€” A structured lesson plan
  • Study Guide β€” A student-facing study guide
  • Worksheet β€” A classroom worksheet
  • Summary β€” A condensed summary of the key points

You can also attach additional sources alongside the chat export β€” curriculum standards, student progression data, Google Drive files β€” to further ground the artefacts.


The design-then-produce workflow

The intended workflow looks like this:

1. Chat β€” Design your lesson

Start a conversation with the AI to design a lesson. For example:

"I need to teach Year 8 persuasive writing next week. The students struggled with thesis statements last time. Can you help me design a lesson that scaffolds thesis writing using contemporary examples?"

2. Iterate β€” Refine with the AI

Go back and forth in chat β€” refine the approach, ask for alternatives, adjust for your class's needs, incorporate curriculum alignment. This is where the creative thinking happens.

3. Send to Studio β€” Bridge the gap

Once you are happy with the lesson design, right-click the conversation and select Send to Studio.

4. Generate artefacts β€” Produce materials

In Studio, generate the materials you need from the conversation:

  • A presentation for the whiteboard
  • Flashcards for student revision
  • A quiz to check understanding
  • A podcast the students can listen to as homework
  • An infographic summarising the key persuasive techniques

Each artefact is grounded in the full context of the original chat conversation, so the AI understands the lesson goals, the student context, and the specific approach you designed β€” producing materials that are coherent and aligned with your plan rather than generic.


Tips

  • Use chat to do the thinking and Studio to do the producing. The more detailed your chat conversation, the better the Studio artefacts will be.
  • You do not need to structure the chat conversation in any special way β€” just have a natural conversation. The AI will make sense of the full thread.
  • After sending to Studio, the original chat conversation is unchanged. You can still return to it, continue the conversation, or send it to Studio again if you want to generate different artefacts.
  • Attach additional sources in Studio (curriculum standards, student data) alongside the chat export to make artefacts even more targeted.
  • Everything generated in Studio is automatically collected in My Creations, so you can find and download it later.

Summary

Send to Studio turns your chat conversations into a source for polished teaching materials. Design your lesson in chat, refine it with the AI, then send it to Studio to produce the podcasts, flashcards, quizzes, presentations, and other artefacts you need β€” all grounded in the full context of your conversation.

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