Day digest
A morning overview from company systems
One e-mail before the day starts: calendar, tasks, mail, GitLab and Mattermost. The agent calls no model itself; it assembles the output of the other agents.
The problem
Starting the day means going through five systems: calendar, tasks in the information system, mail, GitLab and chat. None of them gives an overview across the others.
How it works
- 1
Calendar and tasks
Reads the calendar (ICS, CalDAV) and tasks from Group-Office over JMAP, read-only.
- 2
GitLab and Mattermost
Takes only counts from GitLab and Mattermost, never message text.
- 3
Output of other agents
Takes the summary from IMAP triage and other agents as strictly validated files, not through an API.
- 4
Assembly
Deterministic code builds the sections; the HTML is escaped.
- 5
Sending
An e-mail with a recipient check, once a day.
Guardrails
- A failed source shows up as a warning, never as an empty day.
- Limits on calendar size, number of events and recurrence expansion.
- Each digest is sent at most once, with no automatic retry.
- Dry-run mode and test sends only to the administrator’s address.
- Errors go to the administrator, never to recipients.
Not everything needs a model. The most reliable part of the digest is the one plain code assembles from output that has already passed a check.
More case studies
IMAP triage
Sorting company mail and drafting replies
In the morning it is clear what is on fire. The agent sorts the NOC, CSIRT, billing and sales mailboxes and drafts replies to selected messages. It cannot send them.
GitLab triage
A daily issue digest for developers and teams
Every morning, what changed in GitLab and what is expected of whom. Code builds the sections; a local model only adds summaries. Client data never sees the cloud, and code enforces it.
Delegator
Assigning tasks in plain text in chat
You tell a Mattermost bot what needs doing and who should do it. The model proposes a task, code checks the assignee and deadline, you confirm with a thumbs-up. Then the bot watches how the task goes.
Expense hub
Re-billing company expenses
Statements for fuel, phones, insurance and internet arrive by e-mail and end up as an overview for each holder. No model: the parsers are deterministic and the totals match to the cent.
No-obligation consultation
Let’s find the first job for AI in your company.
An hour’s conversation about where your data lives, which processes slow you down and what of it may leave your network. You leave with a proposal for a first pilot, not a tool demo.
Built and is accountable for the AI layer at Nux
Radek Růžička
Managing Director and CTO, Nux s.r.o.