Replicate AI Model Workflow Approvals & Automation
Run Replicate on autopilot. Keep the veto.
31 actions
Your Replicate model predictions and file operations fire off without review. Rills proposes every action, you approve from your phone.
Interactive. No signup. 14 days free · approvals always free.
Most automation fires first, asks later. Rills shows you the change before it ships.
Every consequential other action from Replicate arrives on your phone first. Approve in seconds. Decline without explaining yourself. Workflows wait, paused at zero cost, until you decide.
Queue 3
Queue 15 image generations for review?
15 prompts · current model v2.1
Same parameters as last batch
No style guide change detected
Free to wait. Free to think.
Approvals and logic don't cost a credit. Pause a workflow for three hours or three weeks. The price is the same: zero. You only pay when something real happens: an AI call, an outbound action.
Approve from your phone in five seconds.
Swipe right when you're sure. Decline when you're not. Between meetings, mid-coffee, on the train. No dashboard to babysit, no inbox triage, and no surprise send you find out about after it's already out the door.
Routine cases graduate themselves.
Every approval feeds a confidence score for that exact workflow shape. The obvious cases (the ones you've green-lit fifty times) start running on their own. The judgment calls still come to you.
About Replicate automation
A prediction request for 500 images goes out before you realize the model was swapped to a pricier version. A training job launches on the wrong dataset. A file you needed for compliance gets deleted because a test script matched the wrong prefix. Replicate automation without a guardrail is a trust gamble, not a workflow.
When Replicate runs unsupervised
Every operational action in Replicate has a cost—compute, credits, or data loss. Without a human in the loop, mistakes ship before you can blink.
- A new Create Model Prediction burns $80 on a model you didn't mean to call.
- Delete File wipes training data that should have been archived.
- Update Model Metadata pushes a broken description to public gallery examples.
- Cancel Training stops a job mid-epoch, wasting the compute already spent.
- Create Deployment spins up hardware you planned to shut down over the weekend.
What Rills does inside Replicate
Rills intercepts every operation—predictions, file ops, training jobs, model changes—and surfaces them on your phone for a quick review. You see the proposed action, the cost or risk, and approve only the ones that make sense for your project.
The model still runs. The job still trains. But you see it first, from your phone, before any credits leave your account.
Why Replicate has no triggers and how Rills fills the gap
Replicate doesn't let you define "when this happens, do that." Rills watches on a schedule or waits for upstream signals from tools like Slack, Airtable, or Stripe, then proposes the right Replicate action.
- Poll for new model versions daily – Check for a fresh version of your stable diffusion model and propose an update to your deployment.
- Slack command triggers a prediction – A teammate types
/generate 20 product shotsand Rills queues the prediction for your approval. - Airtable row status change starts training – When a record moves to "Approved for fine-tune," Rills proposes a Create Training Job with the linked dataset.
- Stripe successful subscription fires a file cleanup – After payment, Rills proposes Delete File on temp assets to reclaim storage.
What Rills can do in Replicate
6 of 31 actions across reads, writes, and updates.
- 01
Create Prediction
Run machine learning models on your data by submitting inputs to a specific model version and receiving predictions. This lets you automate AI-powered tasks without managing your own infrastructure.
- 02
Get Account Information
Retrieve details about your authenticated Replicate account, including billing information, usage limits, and account settings. This helps you understand your account status and capacity for running AI model predictions.
- 03
Get Model Details
Retrieve detailed information about a specific AI model including its input requirements, available versions, and parameters needed to run predictions.
- 04
Get Prediction
Retrieve the current status and results of an AI prediction task by its unique ID, allowing you to check on in-progress jobs or collect completed outputs.
- 05
List All Predictions
Retrieve a paginated list of all predictions you've created, allowing you to review your AI model run history and track past results.
- 06
List Public Models
Browse and discover available AI models on Replicate with sorting and pagination options to find the right model for your project needs.
Common questions about Replicate automation
How do I automate Replicate model predictions without letting AI ship them unsupervised?
You've seen what happens when an AI runs a prediction you didn't check — 5,000 image generations of the wrong style before you notice. Rills lets you approve each prediction from your phone. AI proposes, you approve, nothing ships without your swipe.
Can I approve Replicate file uploads from my phone before they are stored?
Uploaded a file to the wrong Replicate project? Happens when you let it run wild. Rills pauses file creation until you approve from your phone. You decide what gets stored. Approvals and logic are free; you only pay for the upload itself.
How do I get mobile approval before running Replicate training jobs?
Training jobs can burn credits fast if triggered by mistake. Rills proposes the job details, you approve on your phone before it starts. No dashboard babysitting. Swipe yes or no from anywhere. Free approvals, pay only for the compute time.
Can I review Replicate model version changes before they are deployed?
Deploying the wrong model version can break your app quietly. Rills sends you a mobile approval request when a version change is proposed. You review the version number and approve or reject before anything ships. Free approvals, pay only if you deploy.
How is Rills different from Zapier for Replicate?
Zapier runs automation automatically. If a trigger fires, the action happens — no human check. Rills stops that: AI proposes an action (like creating a prediction or deleting a file), you approve from your phone before it executes. You keep the veto. No surprise charges.
Why use Rills instead of Make for Replicate?
Make runs scenarios when conditions are met. One wrong data input and you've got 200 unwanted model predictions. Rills inserts a human approval step: AI suggests, you swipe to approve from your phone. Nothing ships without your go-ahead. Approvals free, pay for actions only.
Does Rills support Replicate webhooks to trigger automation?
Replicate doesn't offer webhooks, but Rills can still propose actions based on file changes or schedules. For example, you can get a mobile approval request to update model metadata daily. AI learns which decisions you trust, and routine ones can eventually run on your terms.
How much does Rills cost for Replicate automation?
Approvals and workflow logic are free. You only pay when Rills actually calls the Replicate API to execute an action — like running a prediction or uploading a file. No monthly minimums, no hidden fees. You control the cost because you approve every action before it ships.