Daily Engineering Brief with Anomaly Alerts

Zero pulls live data from GitHub, Linear, Sentry, and Plausible, computes rolling averages, flags anomalies, and posts a formatted brief to Slack every morning.

Zero connects:

What Zero delivers

Daily Engineering Brief with Anomaly Alerts — sample output from Zero — screenshot 1

What the problem is

Every morning someone opens four different tabs: GitHub for PR activity, Linear for sprint progress, Sentry for overnight errors, and Plausible for traffic trends. They manually compare today's numbers to what they remember from last week and try to spot anything unusual before the standup. That cross-referencing takes 15 to 20 minutes and relies on memory. Zero runs before standup, pulls live data from all four sources, computes 7-day rolling averages, flags anything that deviates significantly, and posts a clean four-section brief to Slack before anyone opens their laptop.

How Zero fixes it

Step 1: Connect your tools

GitHub

Required

Zero reads PRs merged, issues opened and closed, and commit counts. Required for the Engineering Activity section.

Connect

Slack

Required

Zero posts the formatted brief and threads any follow-up analysis into the same message. Required for delivery.

Connect

Linear

Optional

Zero reads issue creation, in-progress work, and backlog count for the Project Tracker section. Optional.

Connect

Sentry

Optional

Zero reads unresolved error counts and new issue volume for the Errors and Reliability section. Optional.

Connect

Plausible

Optional

Zero reads visitor counts, pageviews, and bounce rate for the Web Traffic section. Optional.

Connect

Step 2: Ask Zero

@Zero every weekday at 8:30am, pull live data from Plausible, Sentry, GitHub, and Linear, flag anomalies vs the 7-day rolling average, and post a formatted 4-section daily brief to #engineering.

try it

Zero pulls live data from each source

Zero queries GitHub for PRs merged, issues opened and closed, and commits. It pulls Linear for issues created, in-progress work, and backlog count. If configured, it also queries Sentry for error counts and Plausible for visitor and pageview metrics.

7-day rolling averages computed

For each metric, Zero fetches the same data for the prior seven days and computes a daily average. This gives a stable baseline that accounts for weekends, deploys, and team size changes.

Anomalies flagged automatically

Zero compares today's numbers to the rolling average and flags anything that deviates significantly. A spike in merged PRs might indicate a coordinated refactor; a drop in Plausible traffic might signal a deploy issue; a surge in issues opened might mean a new bug surface was discovered.

Four-section brief posted to Slack

Zero posts a structured message with one section per source: Web Traffic, Errors and Reliability, Engineering Activity, and Project Tracker. Each section lists today's numbers, the 7-day average, and a plain-language anomaly note where applicable.

Step 3: Take it further

Drill into an anomaly

Ask Zero to investigate a spike directly from the brief thread

@Zero the 572% PR spike in today's brief - list all those PRs and group them by label or title prefix so I can see what the team was shipping.

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Fix a broken connector

Resolve a missing token so all four sections have live data

@Zero check which connectors are missing or misconfigured for the daily brief and tell me what tokens I need to set.

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Add a custom threshold

Only get alerted when a metric crosses a meaningful threshold

@Zero update the daily brief schedule to only flag anomalies that are more than 3x the 7-day average. For smaller deviations, just include the number without a flag.

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Tips for better results

●Schedule the brief 15 to 20 minutes before your standup so the team can see it before the meeting starts.

●Start with GitHub and Slack only. Once the brief is running reliably, add Sentry and Plausible one at a time to validate each connector before expanding.

●Add a custom threshold note to your prompt to reduce noise. For example, only flag metrics that are more than 2x the rolling average so minor day-to-day variation does not trigger alerts.