Why on your own machine

Local isn’t the compromise. It’s the more capable place to run.

Most tools sell “on your own machine” as a privacy trade-off you accept. It’s the opposite: your machine is already wired into everything you use, and it can do anything a computer can. Cronable runs there — so your automation inherits all of it.

Already wired into everything you use

Your files, your VPNs, your local network, your signed-in CLIs — and your AI assistant’s own tools and memory. A job on your machine inherits all of it instantly. No re-authenticating every account into someone else’s platform, no exporting your data, no new keys to hand out.

A full computer, not a fixed menu

Cloud tools can only connect what their vendor pre-built. On your machine a job can write a script, install whatever it needs on the fly, and do the thing that has no pre-built integration — which is most real work. If your computer can do it, it’s cronable.

Your data stays on your box

Your data, prompts, credentials and results stay on hardware you control — not copied to a vendor cloud. Three optional features can send some of it through us — the hosted AI Assistant, inbound webhooks and remote control — and each stays off until you switch it on. You hold the keys.

Cronable vs the cloud

Cronable vs a cloud orchestrator

Same visual editor, secrets and run history you’d expect from a modern orchestrator — running where it can actually reach your work.

Capability	Cronable	Cloud orchestrator
Where your jobs run	On your own machine	On the vendor’s servers
Your files, network & VPN	Direct, native access	Out of reach
Your signed-in CLIs & AI tools	Inherited — gh, aws, your AI’s MCP & memory	Re-auth each one into their platform
Doing something with no pre-built node	Write a script, install any tool	Only in a sandbox — no local access
Your data & credentials	Stay on your box by default	Stored & processed on their cloud
AI steps	Your own AI account, model & key	Their pipeline, their limits
Visual editor, secrets, run history	Yes	Yes
Execution pricing	Flat subscription	Often metered per task
Who holds the keys	You	Them

Where your jobs run

Cronable

On your own machine

Cloud orchestrator

On the vendor’s servers

Your files, network & VPN

Cronable

Direct, native access

Cloud orchestrator

Out of reach

Your signed-in CLIs & AI tools

Cronable

Inherited — gh, aws, your AI’s MCP & memory

Cloud orchestrator

Re-auth each one into their platform

Doing something with no pre-built node

Cronable

Write a script, install any tool

Cloud orchestrator

Only in a sandbox — no local access

Your data & credentials

Cronable

Stay on your box by default

Cloud orchestrator

Stored & processed on their cloud

AI steps

Cronable

Your own AI account, model & key

Cloud orchestrator

Their pipeline, their limits

Visual editor, secrets, run history

Cronable

Yes

Cloud orchestrator

Yes

Execution pricing

Cronable

Flat subscription

Cloud orchestrator

Often metered per task

Who holds the keys

Cronable

You

Cloud orchestrator

Them

This isn’t a feature you bolt on — it’s where the work runs. A cloud orchestrator’s whole model is running your work on its servers — so your files, your VPN, your signed-in CLIs and your AI’s own tools are, by construction, on the other side of the network. Cronable runs where they already live. Same editor, same secrets, same run history — just somewhere it can actually reach.

vs cron & scheduled tasks

Cron fires blind. Cronable fires on success.

A crontab entry and a scheduled prompt in an AI app — ChatGPT, Claude, OpenClaw or Hermes — both run on a timer and hope. Neither can say “only do this if the last step actually worked” — the difference that lets Cronable run long chains and branching trees, and route a failure to a handler instead of down the pipe.

Capability	cron / launchd	ChatGPT / Claude task	Cronable
Run a step only if the last one succeeded	No — fires on a clock	No — one-shot prompt	Yes, by default
Multi-step chains & branching trees	Hand-rolled with exit codes	One prompt, no branches	Native, on a visual DAG
When a step fails	The next one runs anyway	The whole run muddles	Branches to a handler
Pass data between steps	Temp files & glue scripts	Only inside one context	Built-in expressions
Durable waits between steps (hours, days)	Another crontab line	No	Wait nodes in the chain
See what ran, and why it failed	Dig through logs	Ask it, and trust the reply	Live colour-coded canvas
Start from an event, not just a time	No — time only	No	Webhook, inbox, file & more

Run a step only if the last one succeeded

Cronable

Yes, by default

cron / launchd

No — fires on a clock

ChatGPT / Claude task

No — one-shot prompt

Multi-step chains & branching trees

Cronable

Native, on a visual DAG

cron / launchd

Hand-rolled with exit codes

ChatGPT / Claude task

One prompt, no branches

When a step fails

Cronable

Branches to a handler

cron / launchd

The next one runs anyway

ChatGPT / Claude task

The whole run muddles

Pass data between steps

Cronable

Built-in expressions

cron / launchd

Temp files & glue scripts

ChatGPT / Claude task

Only inside one context

Durable waits between steps (hours, days)

Cronable

Wait nodes in the chain

cron / launchd

Another crontab line

ChatGPT / Claude task

See what ran, and why it failed

Cronable

Live colour-coded canvas

cron / launchd

Dig through logs

ChatGPT / Claude task

Ask it, and trust the reply

Start from an event, not just a time

Cronable

Webhook, inbox, file & more

cron / launchd

No — time only

ChatGPT / Claude task

Run it where your work already is.

Subscribe, download the installer for macOS or Linux, and your daemon self-installs — wired into everything on your machine within minutes.

Join the waitlist

If your computer can do it, it’s cronable.