Build an Automated Daily Report System

A useful report is a data contract, not a prompt trick

Most automated reports fail for one of two reasons: they collect too much raw data, or they never define what a “good morning digest” actually contains. Hermes helps only after you make those expectations explicit.

The winning pattern is simple: collect a bounded set of signals, normalize them into a small schema, summarize only the deltas that matter, then send one final artifact to Slack, Telegram, or email.

When This Pattern Fits

• You already read the same dashboards every morning and want one summary instead of five browser tabs.
• The report must be consistent enough that another operator can trust it without reading the raw logs.
• You need a delivery chain that can retry without regenerating everything from scratch.

Reference Workflow

Collect data from APIs, logs, issue trackers, and yesterday’s unfinished actions.

Normalize all sources into one digest schema with owners, severity, and due dates.

Ask Hermes to summarize changes, anomalies, blockers, and next actions.

Publish the digest and keep the intermediate artifact for retries or audits.

Step 1: Define the digest schema first

Before you schedule anything, define what the report must always contain. A stable schema keeps Hermes from drifting into verbose prose on quiet days and missing action items on noisy days.

{
  "date": "2026-04-14",
  "highlights": [],
  "blockers": [],
  "owners": [],
  "followUps": []
}

Step 2: Separate collection from summarization

Have one job collect raw material and write it to a file or object store, then let Hermes summarize from that artifact. This split makes retries cheap and prevents duplicate external API calls when delivery fails.

Step 3: Send the report through one thin delivery layer

Slack, Telegram, and email should receive the same finalized digest. Keep formatting in the delivery layer and keep reasoning in the summarization layer so you can swap channels without rewriting prompts.

Preflight Checklist

• Limit each source to the exact time window the report claims to cover.
• Store the pre-summary artifact so failed sends can be retried safely.
• Add explicit owner and due-date fields to every actionable item.
• Reject reports that have no highlights and no blockers unless that is genuinely expected.

Troubleshooting

Should Hermes read raw dashboards directly every morning?

Only if those dashboards are already structured and cheap to query. In most teams, a separate collector process is easier to cache, test, and retry.

How long should a daily report be?

Aim for a one-screen digest with links to detail pages. If the report is longer than the operator’s morning attention span, it stops being a report and becomes a backlog dump.

What is the most common reliability issue?

Delivery and summarization are often coupled together. When the send step fails, teams regenerate the summary and accidentally produce inconsistent copies.

Next Steps

• Cron Scheduling Guide — Put the report on a predictable schedule.
• Telegram Bot Setup — Deliver the digest to phones first.
• Server Monitoring & Smart Alerts — Reuse the same pipeline for incident summaries.

---

Last updated: April 14, 2026 · Hermes Agent v0.8