Replace Your Cron Jobs with Scheduled AI Agents
Stop maintaining flaky cron servers. Describe what should happen on a schedule, and GenMB generates Python, hosts it, and runs it for you.
GenMB Team
Editorial
The cron problem
Every team has a "cron server." It's the saddest box in your infrastructure. It runs Python scripts no one remembers writing. When it's down for a day no one notices, and then someone notices and the only fix is "ssh in and look at /var/log/syslog."
GenMB scheduled agents replace that box.
What a scheduled agent is
A scheduled agent is:
- A Python script (generated from your prompt)
- Hosted on managed infra (no server you have to babysit)
- Triggered by Cloud Scheduler at a cron you pick
- Has built-in tools: HTTP, SQL, AI, Slack, email
- Logs every run; failures notify you automatically
It is *not* a "no-code automation" — it's real Python. You can read the code, edit it, and download it. The difference from rolling your own is that you didn't have to write the script, and you didn't have to host it.
A real example: daily Stripe digest
Prompt:
"Every day at 8am, fetch all Stripe payments from the last 24 hours. Group them by amount tier. Email me a summary with totals, top 3 customers, and any failed payments."
GenMB generates Python that:
- Calls Stripe
/v1/payment_intentswith a 24h time filter - Groups by amount, sorts by count
- Calls the GenMB AI proxy with the data and a summary prompt
- Sends the result via email
You see the code before deploy. You can edit it. Deploy is one click.
The agent runs at 8am every day. If it fails, you get a notification and an email. If it succeeds, the result lands in your inbox. You don't think about it until you decide to change the prompt.
What you can replace
Things teams typically write cron jobs for, and how to express them as agents:
| Use case | Prompt |
|---|---|
| Daily metrics report | "Run my Postgres query X daily, summarize the result with AI, post to #metrics on Slack." |
| Inbox triage | "Hourly: scan my Gmail support inbox, classify each unread email, tag urgent ones, draft a reply for review." |
| Lead enrichment | "Every 30 minutes: check the leads table, for new entries fetch domain info from Clearbit, write back to the row." |
| API health check | "Every 5 minutes: hit my /health endpoint, if non-200 alert me on Slack." |
| Weekly customer summary | "Every Monday: for each customer with activity last week, write a personalized email and queue them for sending." |
Cost
Scheduled agents are Business plan only because each run consumes orchestration credits. Typical agents cost 1–3 credits per run depending on whether they call AI. A 5-minute health check that runs 288 times a day at 1 credit each is roughly 9k credits/month — comfortably within the 5,000-credit Business pool because health checks usually skip credit-charging when the API call is a simple HTTP request.
You won't accidentally rack up costs: every agent has a max-runs-per-day cap that defaults to a sane value for the cron frequency.
What's underneath
When you deploy, GenMB:
- Builds a Docker image with your generated Python
- Pushes it to Artifact Registry
- Configures a Cloud Scheduler job to enqueue runs in Redis
- A worker pool (GKE Autopilot) pulls jobs and executes
- Output, logs, and timing get reported back via callback
You'll never touch this. But it's nice to know it's not running on someone's MacBook.
Try it
Start from the scheduled agent template.
GenMB Team
Editorial
Award-winning AI author and speaker. Building the future of app development at GenMB.
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