Daily
Save a daily research digest to Notion
Each morning new articles from the feeds you follow are summarised, tagged and filed as pages in Notion.
- Runs
- Daily
- Apps
- Notion
- AI
- Yes, uses the built-in AI allowance
- Access
- read+write
Send this to your assistant
Create a ClickRuntime automation: every morning at 7am, check these RSS feeds for new articles, summarise each one in three lines, tag its topic, and add it as a page to my Notion Reading database.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Staying current in a field such as machine learning, climate policy or fintech regulation means following dozens of sources: arXiv listings, lab blogs, newsletters, regulator announcements. A researcher or analyst who tries to keep up by hand spends an hour a day reading headlines, bookmarks a few links in a browser that never get opened again, and still cannot answer the question of what was published on a topic in the last quarter.
Every day ClickRuntime fetches your feeds, skips links it has recorded before, and uses its built-in AI to write a short summary and a set of tags for each new item. It then creates one page per item in a Notion database, with the title, link, summary, tags and date, so your reading list is organised and searchable from the first day.
It is a good fit for an individual who wants a personal research library without any tool beyond Notion.
What you get out of it
A research library that fills itself
New items appear as pages each morning, already summarised and tagged. After three months you hold a structured archive of the field instead of a pile of forgotten bookmarks. Nothing needs to be exported, so the database simply grows while you do other work.
Skimming takes minutes, not an hour
Reading two-line summaries to decide what deserves a full read compresses the daily routine. The time saved goes into reading the five papers that actually matter. The saved time goes into the few papers and posts that deserve a full read.
Questions about the past get answers
Filtering the database by tag and date lets you list everything published on a topic last quarter. A literature review or a briefing note starts with material already collected. A literature review or briefing note then starts from material that is already collected.
Your own tags build up a taxonomy
Because the AI applies tags consistently, you can see which topics are growing in the feed. That guides what to study next and where to look for gaps. That guides what to study next and where the gaps are in your coverage.
Stored links prevent re-reading
A paper that three newsletters mention is filed once. You never spend time on something you have already read and summarised in Notion last week. You never spend time on something that is already summarised in Notion from last week.
How it works
What happens, step by step
Every day ClickRuntime reads the news feeds you follow.
It skips articles it has already saved.
AI writes a short summary of each new article and gives it a topic tag.
Each article is saved as its own page in your Notion reading database.
Before it runs live
- Connect Notion and share the database you want it to use
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other Notion steps into one automation
Under the hood
The code that runs this automation
import feedparser
from clickruntime import on_trigger, credentials, http, state, ai
NOTION = "https://api.notion.com/v1"
def headers():
return {"Authorization": f"Bearer {credentials.secret('NOTION_TOKEN')}", "Notion-Version": "2022-06-28"}
def query(db, body=None):
resp = http.post(f"{NOTION}/databases/{db}/query", headers=headers(), json=body or {})
resp.raise_for_status()
return resp.json()["results"]
def title(page, prop="Name"):
return "".join(t["plain_text"] for t in page["properties"][prop]["title"])
READING = "reading-database-id"
FEEDS = ["https://blog.example.com/feed", "https://news.example.org/rss"]
SCHEMA = {"type": "object", "properties": {"summary": {"type": "string"}, "topic": {"type": "string"}},
"required": ["summary", "topic"]}
@on_trigger
def run(event):
seen = set(state.get("seen") or [])
new = [e for url in FEEDS for e in feedparser.parse(url).entries[:20] if e.link not in seen]
for e in new[:20]:
d = ai.generate(f"Summarise in three lines and give a one-word topic:\n{e.title}\n{e.get('summary', '')[:2000]}",
json_schema=SCHEMA, max_output_tokens=200).json
http.post(f"{NOTION}/pages", headers=headers(), json={"parent": {"database_id": READING}, "properties": {
"Name": {"title": [{"text": {"content": e.title[:200]}}]},
"URL": {"url": e.link},
"Summary": {"rich_text": [{"text": {"content": d["summary"]}}]},
"Topic": {"select": {"name": d["topic"]}},
}}).raise_for_status()
seen.add(e.link)
state.set("seen", sorted(seen)[-2000:])
return {"added": min(len(new), 20)}FAQ
Common questions
Can I add sources later?
What Notion properties does it fill?
How accurate are the summaries?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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