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 ElevenLabs and Outlook — 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.
ElevenLabs and Outlook are two anchors of a much bigger automation. Definable Workflow chains your AI layer, your inbox, 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 ElevenLabs, Outlook, and 1000+ other tools — all from one instruction.
Type what you want to happen between ElevenLabs and Outlook. 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 ElevenLabs, processes the data, applies your conditions, and fires the Outlook action.
Every step is verified. If something fails, Workflow catches it, adjusts, and retries — without you lifting a finger.
When add a pronunciation dictionary from file in ElevenLabs
If the ElevenLabs event matches your configured filter
Send email in Outlook
Workflow verified all steps completed successfully.
Anything you can describe. Workflow connects ElevenLabs (your AI layer) and Outlook (your inbox) through a single instruction. Examples: when a model output is generated in ElevenLabs, draft a contextual reply in Outlook; when a tool call completes in ElevenLabs, route the email to the right owner in Outlook. 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 ElevenLabs ships an API change or Outlook returns a new field shape. You don't maintain it.
Minutes. Authenticate ElevenLabs and Outlook, type what you want to happen, review the plan Workflow generates, and start running.
Stop maintaining automations. Start describing outcomes. Workflow handles everything between ElevenLabs, Outlook, and your entire stack.