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Prompts to try (or to steal for your own agent’s instructions). Each shows the tool sequence a capable assistant settles into.

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Research recall

What have I saved about vector databases? Anything related I’ve forgotten about?
  1. semantic_search("vector databases") — meaning-based, so notes about pgvector or embeddings match without the literal phrase
  2. get_note(id) on the strongest hits for full text
  3. find_similar(id) on the best note to surface adjacent reading saved months ago
Semantic first, keyword (search_notes) when the user gives exact words or a title fragment.

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Capture during work

Save a note: the standup decision was to ship folders behind a flag — tag it project-dexi and mention Sarah.
  1. create_note(title="Standup decision: folders behind a flag", text="… #project-dexi @sarah")
Tags go inline in the text — #project-dexi and @sarah become tags automatically; there is no separate tags parameter. To add to an existing note instead, search_notes for it, then update_note(mode="append") — append is the safe default; replace destroys rich formatting.

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Folder triage

What’s piling up unfiled? Suggest where things should go.
  1. list_folders() — folder names, counts, and the unfiled count
  2. list_notes(folder="unfiled", size=20) — the backlog
  3. Suggest destinations from the existing folder names; the user files notes in the app
Folder assignment isn’t exposed as a tool yet, so the assistant recommends and the user moves.

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Review session

Quiz me on my review deck.
  1. get_due_reviews() — due cards with due_count
  2. For each card: show the title only, let the user attempt recall, then reveal the body
  3. grade_review(note_id, grade) — 1 forgot / 2 hard / 3 good / 4 easy; the schedule updates immediately (Again comes back in ~10 minutes)
The assistant should never reveal the answer before the user attempts recall — that’s the point of the exercise.