Ballet vs Zapier
The workflows Zapier can’t run.
Zapier is great until a workflow needs real logic or breaks at scale. Ballet reasons through the complex steps and self-heals, so the workflow just runs and you stop patching it.
Connectors
Connect the systems your workflows already depend on.
Where Zapier stops, Ballet keeps going.
 Ballet | Zapier (the old way) | |
|---|---|---|
| Approach | Deterministic workflows + agents, written as code | Visual triggers and preset actions |
| New integration | Generated on demand against any API | Limited to its app directory |
| Complex multi-system work | Scales, written as code | Caps out as logic gets complex |
| Breakage | Evals on every step, auto-patched with a diff | Breaks silently when an app changes |
| Review & version control | Generated code, version-controlled | Opaque Zaps, no real version control |
| Time to first workflow | 30 minutes | Minutes, but caps out fast |
Ballet vs. Zapier, answered
Can Ballet do everything Zapier does?
For the multi-system, business-critical workflows teams get stuck on: yes, and it handles the logic Zapier caps out on.
We already have hundreds of Zaps. Do we rip them out?
No. Keep Zapier for the simple stuff and bring Ballet in for the workflows that break or hit a complexity wall.
Is it as reliable as Zapier?
More so. Ballet runs deterministic code where it matters and self-heals when an app changes, instead of breaking silently.
How is it more reviewable than a Zap?
It generates real, version-controlled code with evals on each step. You review a diff in your own tooling, not an opaque Zap.
See it on your stack
We’ll rebuild your most painful Zapier workflow in Ballet, live.
A 30-minute working session on your real systems. No SOW.