AI workers for Monitoring & Alerts
AI workers for monitoring watch a system, inbox, or metric for a defined condition and alert you the moment it trips. WorkerKit controls which signals they may read.
- Follow-Up Tracker Language model Tracks every email you are waiting on a reply to, drafts a polite nudge when a thread goes quiet past your window, and keeps a live waiting-on-others board.
- Portfolio Authority Watch Language model Tracks domain rank and backlink totals for every site in your portfolio each week and flags the ones that moved.
- Best Seller Reorder Alert Language model Ranks your best-selling Shopify variants each morning and warns you which will sell out before a reorder lands, with the number of units to order.
- Sales Anomaly Alert Language model Watches your Shopify store's daily sales, orders and average order value, and alerts you only when one of them moves enough to matter.
- Dynamic Focus-Time Optimizer Language model Protects two hours of deep work a day: scans your calendar 14 days out, books and adjusts Focus / Deep Work blocks, and emails you a fix plan when a day is too fragmented.
- Stuck Orders Watch Language model Finds the Shopify orders that are stuck (not shipped, not paid, high risk, or waiting on a return) and lists what a person has to do about them.
- Refund Spike Alert Language model Watches Shopify refunds and returns each morning and alerts you when the refund rate spikes.
- Low Stock Alerts Language model Watches stock on every Shopify variant at every location and alerts you the morning something runs out, drops below the level you set, or will sell out before a restock lands.
- Travel Buffer Guardian Language model Blocks travel time around your flights, trains and off-site meetings, keeps those holds honest when a trip moves, and emails you a brief the night before.
- Partner & Directory Link Monitor Language model Checks every week that the links partners and directories promised you are still live, followed, and pointing at the right page.
- Hail Damage Canvassing Alert Language model Checks overnight hail and storm damage reports for the counties you serve and ranks the areas worth canvassing first.
- Competitor Social Media Monitor Language model Checks your named competitors' Instagram, X and YouTube accounts every week and reports which of their posts beat their own normal engagement, with the post cited.
- Google Review Watch Language model Checks your Google reviews every morning and tells your team which new ones need a reply today.
- Backlink Monitor Language model Watches your site's backlink profile every morning and reports the new and lost links that actually matter.
- Daily Phishing Email Scanner Language model Scan new inbox email daily and label messages that show phishing or scam risk.
- Competitor Newsletter Tracker Language model Reads competitor newsletters and archive pages, and only briefs Grok Bot when a High product, pricing, or GTM signal appears.
- Slack Team Update Brief Language model Turn relevant Slack activity into a focused team update on progress, blockers, risks, dependencies, changes, and attention needed.
- Critical Email Finder Decision model Reads a window of inbox mail and returns only the messages where something breaks, money is lost, a person is blocked or a deadline passes if the owner does not see them today.
- Daily Hacker News Interest Brief Language model Find and summarize the Hacker News stories that matter most to your interests each day.
- Brand Mention Urgency Radar Decision model Finds public brand mentions that merit a company response or investigation.
- Regulatory Pulse Language model Tracks SEC and industry rule drops for your beat, scrapes primary texts when needed, and hands Grok Bot a sourced compliance pulse.
- Critical Meeting Finder Decision model Reads the week ahead and returns only the meetings where revenue, a decision, a customer or an external commitment suffers if the owner skips them or walks in unprepared.
- Daily Competitor Promotion and Price Monitor Language model Monitor competitor stores daily and flag new promotions, price drops, and meaningful offer changes.
- Competitor Site Pulse Language model Watches named competitor URLs for product, pricing, and messaging changes, then reports what actually moved with citations.
- Changelog Radar Language model Watches competitor changelogs and release notes and only surfaces High customer-impacting releases.
- Hiring Signal Monitor Language model Watches competitor and peer hiring signals — career pages, job posts, and "we're hiring" news — and briefs Grok Bot on what roles are heating up.
- Earnings Call Tracker Language model Tracks upcoming and fresh earnings calls for your watchlist, pulls key takeaways from IR pages and news, and hands Grok Bot a cold briefing.
- Influencer Client Email to Slack Monitor Language model Monitor one client's Gmail label and post attention-needed influencer marketing emails to their Slack channel.
- Launch and Feature Watch Language model Scans news and launches for your competitor watchlist and only briefs when a High launch or feature drop is evidenced.
- Morning Signal Diet Language model Builds a curated external morning briefing from your topic diet using news search and cited answers — not your inbox or calendar.
- Daily Competitor Blog Tracker Language model Monitor competitor blogs daily and alert you only to important changes from the past 24 hours.
- Funding and Deal Radar Language model Scans overnight funding, M&A, and strategic partnership news for your sector watchlist and ranks what Grok Bot should surface.
- Competitor Pricing and Changelog Watch Language model Reads your competitors' pricing pages and changelogs every weekday morning and reports only what changed: a new price, a new plan, a dropped limit, a shipped feature.
- Daily Funnel Drop Watch Language model Reads yesterday's funnel in Google Analytics every morning, compares each step with the week before, and says which step dropped past your threshold and where the drop came from.
Browse every worker kit
What is a Monitoring & Alerts AI worker?
A monitoring AI worker is an AI agent set up to run the monitoring and alerts job unattended, watching a source for a condition you define and raising an alert when it is met. It typically touches Gmail and Outlook mail, Google Search Console metrics, Jira and Linear issues, and Slack or Microsoft Teams channels, watching only the signals and fields you have approved.
What these workers do
Alert on a Search Console drop
Watches Google Search Console for a fall in impressions or clicks on key queries and posts a Slack alert the moment a threshold is crossed.
Watch for VIP sender email
Monitors Outlook for mail from named important senders and pings you instantly so a critical message never sits unseen in the inbox.
Flag new critical Jira issues
Watches Jira for issues filed at critical severity and raises a Microsoft Teams alert so the on-call engineer responds without delay.
Notify on Slack keyword mentions
Monitors chosen Slack channels for specific keywords, an outage term or a competitor name, and alerts the right team when one appears.
How a Monitoring & Alerts AI worker runs
What it connects to
When it runs
What stays under your control
Monitoring & Alerts questions, answered.
How is a monitoring AI worker different from reminders?
Monitoring watches for an external condition and alerts when it trips, reminders nudge you about a time or task you already know. A monitoring worker fires when a Search Console metric drops or a VIP emails, events you cannot predict. A reminders worker instead prompts you ahead of a deadline. The triggers are fundamentally different.
Can a monitoring worker read a metric without seeing everything?
Yes, you scope it to just the signal it needs and redact the rest. A monitoring worker watching Google Search Console clicks does not need your whole account, and WorkerKit limits it to the queries and fields you approve. It evaluates the condition on that narrow view and nothing wider.
Will a monitoring worker flood me with alerts?
No, rate limits cap how often it can alert so a noisy condition stays manageable. You set how frequently a monitoring worker may fire, and WorkerKit enforces that ceiling. Combined with a clear condition, this keeps alerts meaningful instead of a stream of noise you learn to ignore.
Does a monitoring worker change anything it watches?
No, monitoring is read-only, it observes and alerts without touching the source. A monitoring worker never edits the Jira issues or Outlook mail it watches. WorkerKit keeps it read-only, so watching a system for a condition leaves that system exactly as it was while the alert goes out.