Daily research digest
The job
Every morning, search a set of topics, read the top results, summarize what changed, and email a digest to the team — without anyone gathering it by hand.
Why it's hard without a system
The pain you recognize
- Doing it by hand every day is exactly the kind of recurring, well-defined job that slips the moment the week gets busy.
- A simple no-code automation can move data on a schedule, but it usually cannot judge relevance, synthesize multiple sources, and remember what it already covered without additional glue.
- A chat agent can summarize a link you paste, but it will not run itself at 9am tomorrow and it forgets what it sent yesterday.
How a team of agents does it
Division of labor, with a human checkpoint
The unit is a team, not a single agent — and the human checkpoint is a product surface, not an afterthought.
Research agent
Runs on a schedule (e.g. 09:00 daily), searches the configured topics, fetches the top results, and writes a concise summary of what is new and why it matters.
Optional review gate
The digest can pause for a human review before it is sent — useful when the summary is going to customers or a public channel. Skip the gate for an internal team digest.
Delivered + recorded
The digest is emailed to the team, and the full run — queries, fetched pages, the summary, and the send — is in the audit log.
What's involved
Plugins and platform
Platform capabilities
- Schedule — runs itself daily
- Persistent memory — remembers what was already covered
Approval point
Optional — review the digest before it is sent. Add the gate where the output goes to customers or a public channel.
Proof surface
The schedule entry with its next run, the run's tool calls (search, fetch, summarize, send), and the delivered email.