Replace Your Cron Jobs with Scheduled AI Agents

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."

The GenMB Agent replaces that box.

What a scheduled GenMB Agent is

You describe a task in plain language. The agent then:

• Plans the steps it needs to take, and shows them to you
• Runs them autonomously in a managed cloud sandbox (no server you have to babysit)
• Has built-in tools: a web browser, code execution, files, HTTP, search, and AI
• Runs once on demand, or on a schedule (a cron cadence you pick)
• Logs every run as a step-by-step timeline; failures notify you

It is *not* a no-code black box. You see every step the agent takes and every file it produces, you can open the timeline of any run, and you can step in mid-task to redirect 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."

The agent:

1. Fetches the last 24 hours of Stripe payments
2. Groups them by amount and sorts by count
3. Summarizes the data with AI
4. Emails you the result

You watch it work as a live timeline, and the finished summary lands in your inbox as a deliverable. The agent runs at 8am every day. If it fails, you get a notification. You don't think about it until you decide to change the task.

What you can replace

Things teams typically write cron jobs for, and how to express them as agent tasks:

Scheduling and cost

Run a task once, or on any cadence. The free plan covers daily schedules; sub-daily cadences (hourly, every few minutes) are a paid plan feature.

Each run consumes credits based on the work it actually does. A simple HTTP health check is cheap; an AI-heavy research run costs more. You won't accidentally rack up costs: every run is bounded, so a runaway task stops instead of spending forever.

What's underneath

When a scheduled task fires, GenMB spins up a fresh managed sandbox, runs the agent's tools inside it, saves the output, logs, and any deliverables, then tears the sandbox down. There's no image to build, no worker pool to babysit, and nothing running on someone's MacBook. You'll never touch this, but it's nice to know it's there.

Try it

Start an agent and describe what should happen on a schedule.