Type it, done.
Create any automation by describing it in plain language. No flowcharts, no drag-and-drop wiring, no developer required.
Connect Mistral AI and Synthflow AI — AI-native workflow automation
Build multi-step AI automations that flow through Mistral AI and Synthflow 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.
Mistral AI and Synthflow AI are two anchors of a much bigger automation. Definable Workflow chains your AI layer, your AI layer, 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.
What you can automate between Mistral AI and Synthflow AI
6 ways to automate Mistral AI + Synthflow AI
- When a model output is generated in Mistral AI, route the output to the right system in Synthflow AI
- When a tool call completes in Mistral AI, log the generation in Synthflow AI
- When a model output is generated in Synthflow AI, route the output to the right system in Mistral AI
- When a tool call completes in Synthflow AI, log the generation in Mistral AI
- When a generation is rated in Mistral AI, trigger the next step in the chain in Synthflow AI, and log the result in a structured record for team review
- When an evaluation finishes in Mistral AI, attach the result to a record in Synthflow AI, then send a notification to the assigned owner with the full context
Most automation tools run code. Workflow runs on AI.
AI builds it AND runs it.
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.
Self-healing by design.
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.
Cross-tool orchestration.
Multi-step, event-driven, condition-based flows across Mistral AI, Synthflow AI, and 1000+ other tools — all from one instruction.
How Definable Workflow automation works — step by step
- 1
Describe your workflow
Type what you want to happen between Mistral AI and Synthflow AI. No setup wizard.
- 2
Workflow builds it automatically
Definable maps your instruction to the right actions across both tools. You see the plan before it runs.
- 3
AI executes every step
Workflow runs end-to-end. It calls Mistral AI, processes the data, applies your conditions, and fires the Synthflow AI action.
- 4
The verification layer monitors everything
Every step is verified. If something fails, Workflow catches it, adjusts, and retries — without you lifting a finger.
Example workflow
Trigger
When append to conversation in Mistral AI
Condition
If the Mistral AI event matches your configured filter
Action
Add document to knowledge base source in Synthflow AI
Verified
Workflow verified all steps completed successfully.
Frequently asked questions
What can I automate between Mistral AI and Synthflow AI?
Anything you can describe. Workflow connects Mistral AI (your AI layer) and Synthflow AI (your AI layer) through a single instruction. Examples: when a model output is generated in Mistral AI, route the output to the right system in Synthflow AI; when a tool call completes in Mistral AI, log the generation in Synthflow AI. There's no limit to step count or branching depth.
Do I need to write code to connect Mistral AI and Synthflow AI?
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.
What happens if Mistral AI or Synthflow AI returns an unexpected response?
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.
How is this different from drag-and-drop automation tools?
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 Mistral AI ships an API change or Synthflow AI returns a new field shape. You don't maintain it.
How long does it take to set up?
Minutes. Authenticate Mistral AI and Synthflow AI, type what you want to happen, review the plan Workflow generates, and start running.
Your workflows. Built by AI. Run by AI. Fixed by AI.
Stop maintaining automations. Start describing outcomes. Workflow handles everything between Mistral AI, Synthflow AI, and your entire stack.