Type it, done.
Create any automation by describing it in plain language. No flowcharts, no drag-and-drop wiring, no developer required.
Build multi-step AI automations that flow through GitHub and Rev AI — and chain in 1000+ other apps when the workflow needs them. One instruction, many steps, every API call run by AI. No code, no flowcharts, self-healing.
GitHub and Rev AI are two anchors of a much bigger automation. Definable Workflow chains your dev workflow, your documents, and as many other tools as the job needs into a single multi-step flow — built, executed, and verified by AI. Describe the outcome; Workflow plans the steps, runs every API call, branches on conditions, fans out in parallel where useful, retries on failure, and self-heals when an upstream API shifts shape.
Create any automation by describing it in plain language. No flowcharts, no drag-and-drop wiring, no developer required.
Other platforms use AI to generate brittle code that runs offline. Workflow's entire execution layer is AI — it interprets, decides, and acts step by step.
Every step is monitored by a verification layer. If something fails — a rate limit, an unexpected response, a skipped condition — Workflow detects it, corrects it, and reruns automatically.
Multi-step, event-driven, condition-based flows across GitHub, Rev AI, and 1000+ other tools — all from one instruction.
Type what you want to happen between GitHub and Rev AI. No setup wizard.
Definable maps your instruction to the right actions across both tools. You see the plan before it runs.
Workflow runs end-to-end. It calls GitHub, processes the data, applies your conditions, and fires the Rev AI action.
Every step is verified. If something fails, Workflow catches it, adjusts, and retries — without you lifting a finger.
When abort repository migration in GitHub
If the GitHub event matches your configured filter
Create RTMP Stream in Rev AI
Workflow verified all steps completed successfully.
Anything you can describe. Workflow connects GitHub (your dev workflow) and Rev AI (your documents) through a single instruction. Examples: when a pull request opens in GitHub, file the document in Rev AI; when a build fails in GitHub, extract structured fields from it in Rev AI. There's no limit to step count or branching depth.
No. You describe the outcome in plain language and Workflow assembles the steps, authenticates both tools, runs the flow end-to-end, and self-corrects if anything fails.
Workflow has a verification layer on every step. If a response is malformed, an API rate-limit hits, or a condition is unmet, Workflow detects it, adjusts, and reruns the step automatically — without breaking the flow.
Most automation tools generate static workflows that run brittle code. Workflow is AI-native: the execution layer interprets each step at runtime, so it adapts when GitHub ships an API change or Rev AI returns a new field shape. You don't maintain it.
Minutes. Authenticate GitHub and Rev AI, type what you want to happen, review the plan Workflow generates, and start running.
Stop maintaining automations. Start describing outcomes. Workflow handles everything between GitHub, Rev AI, and your entire stack.