Heartbeat monitoring for AI agent pipelines
The dead man's switch pattern for autonomous AI workflows. Know when your agent stopped doing useful work — even when the server is healthy and the HTTP response is 200.
Read →Engineering notes and product updates from the team.
The dead man's switch pattern for autonomous AI workflows. Know when your agent stopped doing useful work — even when the server is healthy and the HTTP response is 200.
Read →AI agents fail in ways traditional monitoring doesn't catch. How to monitor autonomous agent workflows with uptime checks, heartbeat monitoring, and execution history.
Read →AI agents need cron jobs too. How to add reliable scheduled task execution to autonomous agent workflows — HTTP scheduling, MCP integration, and exactly-once execution.
Read →Temp mail passes every syntax check and often passes MX validation. Here's how to reliably detect disposable addresses using blocklists, MX record analysis, and a verification API — and why maintaining your own list doesn't scale.
Read →Tickstem's MCP server lets Claude Code register cron jobs, set up heartbeat monitoring, and verify emails without leaving the editor — here's the full walkthrough.
Read →Vercel's built-in cron has no failure alerts, no execution history on Hobby, and no heartbeat monitoring. Here are the best alternatives depending on what you actually need.
Read →Healthchecks.io is solid for heartbeat monitoring but covers only one use case. Here are the best alternatives if you also need cron scheduling or uptime monitoring — with an honest comparison table.
Read →Mailinator gives anyone a working inbox at any @mailinator.com address with no signup. Here is how it bypasses your signup form, why blocklists alone are not enough, and how to detect it reliably with MX lookups and verification APIs.
Most status pages lie because they need a human to update them. Here's how to fix that by generating your status page directly from your monitors.
Read →Cron jobs fail in two ways: loud failures you catch immediately, and silent failures where the job just stops running. Here's how to catch both using the Tickstem Python SDK on Vercel, Railway, Render, and Fly.io.
Read →Uptime monitoring tells you when your server goes down. Heartbeat monitoring tells you when your scheduled jobs quietly stop doing anything useful — a different failure mode that a health endpoint can't catch.
Read more →When a scheduled job fails, the first question is always the same: is the scheduler broken, or is the endpoint down? Here's why having both in the same place changes how you debug incidents.
Read more →The pattern /.+@.+\..+/ accepts disposable inboxes, defunct domains, and role-based addresses. Here's what actually needs to happen before you trust an email.
You deploy to Vercel, everything works great, then you add a simple recurring task. Twenty minutes later you're debugging why it ran three times, or didn't run at all. Here's what's actually happening.
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