Detect Churn Risk From Competitor Tech Adoption
Weekly scan of customer tech stacks flags high churn risk when competitors like HubSpot are detected within 90 days of renewal.
This directory currently includes 44 recipes for the detect & flag anomaly pattern, across 12 roles. Detect and flag anomaly agents look for signals that fall outside an expected pattern. They can surface unusual transactions, data errors, deadline risks, operational changes, or other exceptions for someone to investigate. This pattern is useful when the normal flow is too large or repetitive to inspect manually, but a missed outlier matters. The examples across roles show that detection is only the first step. The alert needs context, a severity rule, and a named owner who can decide what it means. Begin with an existing baseline or checklist rather than asking an agent to define normal behavior from scratch. A narrow, well-explained alert is more valuable than a broad score that recipients cannot verify. Every example makes its inputs, output, and handoff concrete, so you can compare real workflow boundaries before adapting the pattern to your own tools and process.
Weekly scan of customer tech stacks flags high churn risk when competitors like HubSpot are detected within 90 days of renewal.
Monitors customer health by analyzing support sentiment and usage trends to alert teams of churn risks with actionable next steps.
Monitors your Google Sheets portfolio for price drops or high volatility and sends an AI-summarized email alert only when risks.
Monitors Jira for issue updates, checks Definition of Done compliance, logs non-compliant items to Monday.com.
Monitors new Jira Stories, Bugs, and Tasks for quality, posting coaching comments only when scores fall below a configurable threshold.
Users log food or activity via webhook; the system estimates calories, updates daily totals in Google Sheets.
Monitors Amazon prices from your sheet and alerts you via Telegram or email when costs spike or drop.
Twice daily, it scrapes competitor affiliate terms, scores threat levels via AI, and alerts you to critical gaps in Slack or email.
Daily agent that scrapes competitor prices from a master list and alerts you via Telegram whenever a price changes.
Automates e-commerce ops by notifying teams of new orders via webhook, alerting on low stock in Google Sheets.
New e-commerce orders are automatically scored for refund risk by an AI agent that logs results to Sheets and alerts teams via Discord or...
Daily cron checks Magento 2 inventory per source and sends low-stock alerts via HTML email and Slack for configurable items.
Receives orders via webhook, validates details against inventory, logs to Google Sheets.
Scheduled workflow scrapes product reviews via Decodo, analyzes sentiment with Gemini AI, logs results to Sheets, and sends Telegram alerts.
Promo codes expiring soon? Get urgent alerts via email and Slack while tracking all details in a shared sheet.
Daily agent checks Shopify for unpaid orders, sends staged reminder emails, cancels long-overdue ones with restocking.
Monitors Shopify for orders over $200, summarizes customer history via AI, and posts VIP alerts to Slack.
Monitors usage signals to predict churn 15 days out, triggering personalized retention emails and handling payment failures automatically.
Daily checks of Companies House filing deadlines send colour-coded urgency emails to your team with a clickable confirmation audit trail.
New e-commerce orders are automatically scored for refund risk by an AI agent that logs results to Sheets and alerts teams via Discord or...
Every five minutes, the agent checks bank transactions for risk, logs results to Google Sheets.
Monitors revenue streams for tax anomalies using triple AI validation.
Weekly agent fetches revenue data, uses OpenAI to detect anomalies and categorize entries, then emails compliance reports to tax agents.
Monitors Amazon prices from your sheet and alerts you via Telegram or email when costs spike or drop.
Daily agent that scrapes competitor prices from a master list and alerts you via Telegram whenever a price changes.
Fetches telematics data via HTTP, analyzes driving behavior with Claude to calculate risk scores, updates premiums in policy systems.
Monitors WooCommerce for refunded orders over 100 and posts an alert to your Slack channel.
Every four hours, this agent scans six Facebook real estate groups for deals matching your criteria and texts you the details immediately.
Daily agent checks Shopify for unpaid orders, sends staged reminder emails, cancels long-overdue ones with restocking.
Daily agent finds stalled Salesforce deals and sends personalized emails, SMS, Slack alerts, and tasks to owners.
Monitors usage signals to predict churn 15 days out, triggering personalized retention emails and handling payment failures automatically.
Automates clinical trial e-consent by validating submissions against ICH guidelines via Claude.
Users log food or activity via webhook; the system estimates calories, updates daily totals in Google Sheets.
Polls Philips IntelliVue vitals every 30 seconds, logs data to Google Sheets, and emails staff alerts for critical conditions.
Daily at 9 AM, the agent checks pharmacy stock levels and expiry dates in Google Sheets.
Ingests wearable health data via webhook to calculate risk scores against historical patterns and triggers alerts when thresholds are...
Ingests data via webhook, uses AI to validate for anomalies and policy violations.
New application? The agent screens the resume against job requirements, logs the score.
Twice daily, it scrapes competitor affiliate terms, scores threat levels via AI, and alerts you to critical gaps in Slack or email.
Monitors Meta Ads balances against thresholds in Google Sheets and sends WhatsApp or email alerts when funds run low.
Promo codes expiring soon? Get urgent alerts via email and Slack while tracking all details in a shared sheet.
Ingests data via webhook, uses AI to validate for anomalies and policy violations.
Daily check of blood bank inventory against thresholds, sending instant WhatsApp alerts for any type falling below minimum stock levels.
Daily check of HubSpot companies for hiring spikes via PredictLeads; alerts sales on Slack when job counts jump over 50%.
Fetches Jamf patch summaries for tracked apps and posts compliance status to a Slack channel.
Monitors WooCommerce for refunded orders over 100 and posts an alert to your Slack channel.
Scheduled CRM queries feed an LLM to detect stalled deals or low conversion rates.
Every four hours, fetches Hacker News via Algolia, scores trends by velocity, and sends a clean HTML digest to Telegram.
Your phone camera watches your reps and corrects your form instantly like a personal trainer.
Monitors Indian and US stocks every two minutes during market hours.
Daily AI alerts seven days before birthdays or anniversaries with personalized messages and three tailored gift ideas under $100.
Monitors your Google Sheets portfolio for price drops or high volatility and sends an AI-summarized email alert only when risks.
Automatically fetches top crypto gainers and losers from CoinGecko and posts formatted market updates to your Discord server.
Monitors live traffic during your morning window and sends an SMS to trigger your iPhone alarm only when you need to leave.
Daily check of HubSpot companies for hiring spikes via PredictLeads; alerts sales on Slack when job counts jump over 50%.
Monitors live video calls to score leads by buying signals and competitor mentions, sending instant Slack alerts for hot opportunities.
Scheduled CRM queries feed an LLM to detect stalled deals or low conversion rates.
Monitors Shopify for orders over $200, summarizes customer history via AI, and posts VIP alerts to Slack.
Daily agent finds stalled Salesforce deals and sends personalized emails, SMS, Slack alerts, and tasks to owners.
It identifies data or events that differ from expected patterns and flags them with useful context.
It can detect unusual transactions, errors, delays, changes, and other exceptions in a defined workflow.
Treat them as investigation prompts, with clear thresholds, source context, and human ownership for the decision.