Give a long AI conversation a usable structure.

Keep the main task explicit

Start by stating what you want to understand or produce. For example: “Help me understand the tradeoffs between two approaches to caching for a small web application.”

Use the main conversation to develop that task. When a term, example, or counterargument needs a separate discussion, select the relevant passage and open a branch.

Use the tree to return to a question

The conversation tree shows the relationship between the main thread and each branch. Select a node to continue that discussion. Open the full map when you want to see the larger shape of the exploration.

Give conversations clear names when you need to find them later. A name describing the actual task is more useful than a generic topic label.

Revise an answer with annotations

If an answer needs changes, select the passages you want revised and add an annotation to each. Submit the batch to request a complete revised answer in the current conversation.

Annotations are useful for a clearer definition, a corrected assumption, or a more relevant example. Branches are useful for pursuing an additional question.

Organize the exploration into a project

1. Choose the action to organize the conversation into a project.
2. Review the focus proposed from your conversation and explored branches. State the outcome you want to develop.
3. Review and adjust the proposed outline before confirming it.
4. Develop the chapters, ask follow-up questions, and revise material as needed. Your original conversation remains available.

Know what the current organizer includes

The conversation-to-project workflow includes the main thread and its explored branches. Review the proposed focus and structure carefully when your exploration contains competing ideas or irrelevant detours.

A generated outline is a starting point. Decide what belongs in the result and check the reasoning and sources before treating it as finished work.

A worked study-outline example

Suppose the main conversation explains one gradient descent update. One branch investigates the derivative; another compares learning rates. The intended result is a short study outline that you can use to explain and calculate an update.

An illustrative outline is: 1. Define the objective and derivative. 2. Calculate one update with a small learning rate. 3. Explain overshooting with a larger learning rate. 4. Solve a changed example without hints. These are suggested study sections, not a claim that Grenvi always generates this exact outline.

Keep the derivative branch near the first section and the learning-rate comparison near the third. Remove unrelated detours rather than giving every explored question its own chapter.

Give the project a clear focus

During the conversation-to-project workflow, use the focus review to state the audience, expected result and boundaries. Review the proposed outline before confirming it.

The workflow starts from a conversation and its branches already in Grenvi. It does not import your existing chat history from another product.

Check the outline before developing chapters

1. Each section should contribute to the learning goal. Remove repeated explanations and unrelated branches.
2. Keep assumptions, illustrative examples and externally verified facts distinguishable.
3. Add a calculation or question you can answer without the AI explanation beside it.
4. Develop one chapter, check its reasoning, and use annotations to request targeted revisions before continuing.
5. For important claims, consult the original course material or paper. An outline organizes your work; it does not verify sources for you.

Choose the smallest structure that helps

A short question may need only a single conversation. Use a branch when a follow-up deserves its own path, and create a project when the task benefits from an outline and connected chapters.

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