Collection Mode is Savelore's most powerful feature. It lets you pick specific extracts from multiple AI conversations — across different platforms, different chats, different days — and combine them into a single, organized note with citations that link back to each original message.

Think of it as building a Wikipedia-style article from your AI research, where every sentence traces back to a source you can verify.

What it is

Normal saving captures one full response. Collection Mode is different: you highlight specific passages from multiple responses across multiple conversations, and they get woven together into one note.

Each extracted passage keeps a citation — a numbered marker [1], [2], [3] — that links directly back to the original AI message where you found it. Click the citation and Savelore opens that conversation and scrolls to the exact message.

This makes Collection Mode ideal for research. You spend time across multiple ChatGPT and Claude sessions, collecting the best pieces of each response, and end up with a clean structured document instead of 12 scattered browser tabs.

How to activate Collection Mode

Collection Mode is in the Savelore sidebar toolbar — the row of icons at the top of the sidebar.

1. Open the Savelore sidebar by clicking the toolbar icon
2. Click the Start Collecting button in the sidebar toolbar

How to add extracts

With Collection Mode active:

1. Go to any AI conversation (ChatGPT, Claude, or Gemini).
2. Highlight any text in any AI chat by clicking and dragging.
3. Each such highlight will be added to a Collection.
4. Repeat this across as many conversations and platforms as you want and each highlight gets a citation number.
5. You can reorder the different highlights and once done, click the Save All button.
6. Then add description, folders and tags (Optional).
7. Click Save Collection

What the final note looks like

Your collection note contains the extracts in order, each followed by a citation marker:

React uses a virtual DOM to minimize expensive real DOM updates. When state
changes, React first updates the virtual DOM, then diffs it against the previous
version, and only applies the minimum necessary changes to the real DOM. [1]

For lists and repeated elements, always provide a unique key prop. React uses
keys to track which items changed, were added, or were removed. [2]

Memoization with useMemo and useCallback prevents child components from
re-rendering when their props haven't actually changed. [3]

Citations [1], [2], [3] are clickable links. Each one opens the original conversation and scrolls to the exact AI message the extract came from.

Real example: researching a topic across platforms

Suppose you're learning about database indexing. Over a few sessions you've had:

• A ChatGPT conversation explaining B-tree indexes
• A Claude conversation about index selectivity and query planning
• Another Claude conversation about when NOT to use indexes

Here's how you'd use Collection Mode:

1. Start a collection by clicking Start Collecting button in the extension sidebar.
2. Open the ChatGPT conversation — highlight the clearest explanation of how B-tree indexes work → This will be added to a new collection with citation [1]
3. Open the first Claude conversation — highlight the paragraph on query planner behavior → this will added as citation [2], then highlight the selectivity rule → will be added as [3]
4. Open the second Claude conversation — highlight the counter-examples (when indexes hurt performance) → will be added as [4]
5. Reorder the highlights, if needed
6. Finish the collection — click Save All in the sidebar panel. Then click Save Collection.

You now have a single, coherent reference document built from four separate AI conversations across two platforms. Every claim is sourced and one click away from verification.

Exporting a collection

Collections can be:

• Exported to Notion (Pro) — sends the note to your connected Notion database with citations as inline links
• Downloaded as Markdown (Pro) — a .md file with citation footnotes
• Downloaded as HTML (Pro) — for importing into other tools
• Copied to clipboard — available on all plans

Tips for getting good collections

Be selective. Don't add every paragraph — just the specific passages that directly answer your question. A tighter collection is more useful than a comprehensive dump.

Use consistent naming. Name your collection before you start adding extracts. It's harder to rename later.

Work across platforms. Collection Mode's real power is stitching together Claude's explanations with ChatGPT's code examples. Don't limit yourself to one platform.

Citations are permanent. As long as you don't delete the original conversation, the citation links will always work.