What can an AI teammate do with Mistral?

A Mistral AI assistant can send chat completion requests to any available model, compare outputs across model versions, create and monitor fine-tuning jobs, generate embeddings, and wire results into downstream tools like Slack, Notion, or your database, all on a schedule or triggered by an event. Write actions like starting fine-tuning jobs require your approval.

Which Mistral models can my teammate use?

Your teammate can use any model available on your Mistral account, including Mistral Large, Mistral Small, Codestral, and any fine-tuned models you have deployed. It can also list available models at runtime and pick the right one based on your task instructions.

Can I use this to automate fine-tuning pipelines?

Yes. You can configure a task that watches for new training data, kicks off a fine-tuning job via the Mistral API, polls for completion, and notifies you when the new model is ready, all without manual intervention.

How is a Mistral AI teammate different from calling the API directly?

Calling the Mistral API directly requires writing and maintaining code. A Mistral AI teammate wraps that API in a reasoning layer - it decides which model to use, handles retries, formats outputs, and routes results to other tools in your stack, all based on plain-language task instructions.

Developer tools

AI Teammate for Mistral

An AI teammate that runs, fine-tunes, and deploys your Mistral AI models.

Your AI teammate for Mistral AI sends chat completion requests, lists available models, manages fine-tuning jobs, and retrieves model metadata. An ideal AI assistant for model evaluation pipelines, prompt testing workflows, and LLM-powered product features. Write actions always require your approval.

Mistral offers some of the most capable and cost-efficient models available. An AI teammate connects your workflows directly to those models: running completions, comparing outputs, and managing fine-tunes, so you spend time on results, not API wiring.

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What your AI teammate can do with Mistral

Read-only actions run automatically. Write actions require your approval.

Read-only actions

list models

Retrieve all available Mistral models and their capabilities

get model

Fetch metadata and configuration for a specific model

list fine-tuning jobs

Browse all fine-tuning jobs and their current status

Write actions (require approval)

create chat completion

Send a prompt to any Mistral model and stream back a response

create fine-tuning job

Start a fine-tuning run on a base Mistral model with your dataset

cancel fine-tuning job

Stop an in-progress fine-tuning job

create embedding

Generate vector embeddings for text using Mistral embedding models

Example workflows with Mistral

Real tasks you can run on a schedule or on demand.

task

run nightly prompt regression tests across mistral model versions and post a diff summary to slack

task

compare mistral and openai completions on the same benchmark and log results to a spreadsheet

task

kick off a fine-tuning job when a new training dataset lands in cloud storage, then notify your team when it completes

task

generate embeddings for new support tickets and route them to the right team based on semantic similarity

How to connect Mistral

Create a free m8tes account.

Connect Mistral

Click Connect and complete the OAuth flow or enter your API key.

Create a task

Give your AI teammate a task that uses Mistral. It handles the rest.

Mistral AI teammate: FAQ

Common questions about using an AI teammate with Mistral.

Build an AI teammate for Mistral

Connect Mistral to an autonomous AI teammate that reads data, runs tasks on schedule, and delivers structured output.

AI teammates — all integrations
Build a teammate that uses Mistral alongside your other tools.

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