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Fifteen prompts that show what your agent can do with smry in the first ten minutes.
Your agent picks its own tools. You do not have to say “use smry” — it will reach for smry when a prompt is about reading, saving, or following something. Name it once, on the first prompt, only to prove the connection works.

Read something

read https://www.nasa.gov/news-release/nasa-sets-coverage-for-agency-crew-mission/ and give me the argument in five bullets.
smry extracts the article and hands your agent clean text. Your agent never sees the nav, the cookie banner, or the related-posts rail, so the summary is about the piece instead of the page furniture.
what does this post say about pricing? just the parts that answer it.
This is the cheap one. smry returns the handful of paragraphs that answer the question, with a anchor on each — typically a tenth of the tokens a full read costs.
pull the transcript of this youtube video and tell me the three claims worth checking.
YouTube goes through the transcript path. Same for a PDF, a Google Doc, a spreadsheet, an EPUB, or an MP3 — your agent asks for the URL, not for a format.

Save something

save this link, tag it pricing and competitors, and put it in later.
smry fetches and stores the page itself. The tab you closed is still readable next month, even if the publisher has rewritten it.
save these six links, tag them all onboarding, and tell me which ones failed.
Six links is six saves. Your agent works through them one at a time and reports each outcome. That report is the difference between a clean shelf and six links you assume are there.
here is the text of an email i want to keep. save it as a document titled “q3 board update”.
Supply your own text and smry stores it as an item like any other. It is then searchable next to everything else you kept.

Find something you already saved

what did i save about subscription pricing?
One search runs across saved items, your notes, and your highlights at once. You do not have to remember which of the three it was.
show me the ten newest saved items in a table with links, and tell me which are worth reading and why.
Asking for the table shape is what makes this useful. Your agent has the titles, the tags, and the dates, so it can triage instead of listing.
find the pieces i started and didn’t finish, and tell me which one to pick back up.
Read progress comes back on every item. There is no progress filter, so your agent sorts by it and hands you the ones you abandoned.

Follow a source

follow x.com/paulg and stratechery.com, and tell me which of those actually resolved to a feed.
Paste a profile link, a site, or a feed URL. smry works out what each one is. X, TikTok, Instagram, and Threads accounts all count as sources.
set up a news query for “eu ai act enforcement” and show me what came in today.
A topic with no home page becomes a source. You follow the subject rather than a publication.
find me three good feeds about typescript compilers, then follow the best one.
smry searches for feeds by topic and can list what any site publishes, so your agent is not guessing at /feed.xml.

Catch up

what’s new in my feeds since yesterday? group it by source, one line each.
Your agent reads the feed once and stops. Nothing is marked read behind your back.
summarise what i read this week and group it by theme.
Reading history is a first-class list. The answer covers what you actually opened, not what you saved and ignored.
which of my followed sources have gone quiet in the last month?
Source health is queryable. This is the prompt that keeps a following list from rotting.

Vague prompt, specific prompt

The difference is almost always output shape. Tell your agent what the answer should look like and it stops narrating its own process.

What the answer looks like

Ask a question about a link and the answer carries its evidence:
what does this say about per-seat pricing?
One call, no full page read, and two anchors you can open. That is the whole idea: smry returns the passage, not a guess.

Then pick a recipe

Run a research thread

Follow a topic for weeks and ask questions that span everything you collected.

Write from your sources

Pull the passages that back a point, and check a quote before you use it.

Keep up without the feed reader

A daily catch-up your agent runs, with smry holding the place.

Watch what changes

Pricing pages, docs, and changelogs that never announce themselves.

Connect an agent

Not connected yet? Three minutes.

Every tool your agent gets

The full catalogue, for anyone who wants to build on it.
Last modified on September 13, 2026