Before you start
Enable the Trove connector in your conversation. The examples below are starting points: replace the topic or collection name with your own. Results depend on what is in your Trove account, and your assistant may ask permission before making changes.
Find a saved idea
“What did I save about product onboarding?”
What to expect: Trove searches your library and returns matching saves with titles, short previews, and source links. Ask a narrower follow-up if the result set is broad.
Search within a collection
“In my AI Research collection, what did I save about evaluation?”
What to expect: Trove searches the named collection, including nested collections, and highlights the most relevant saved items.
Read the original
“Show me the full saved post at this URL and summarize its main points.”
What to expect: Trove retrieves the saved page or post text when available. Ask for exact quotations only after the assistant has opened the relevant bookmark details.
Build a reading queue
“What is on my Catch Up queue, and which three should I read first?”
What to expect: Trove shows your saved Catch Up items. Your assistant can suggest an order with reasons; it should ask before replacing or changing your queue.
Organize saved links
“Propose a collection structure for my unsorted bookmarks. Do not move anything until I approve it.”
What to expect: Your assistant can inspect available saves and collections, then propose a plan. Review names and placements before allowing collection or bookmark changes.
Turn saves into action
“Compare the strongest ideas in my strategy collection and give me one experiment to try this week.”
What to expect: Expect a synthesis grounded in specific saved sources, plus a concrete next step. Ask the assistant to cite the saves it used and flag gaps or conflicting views.