The principles and workflows that separate developers who use AI from developers who ship with it.

How to Vibe Code: A Developer's Playbook

We’ll introduce our Voxtral family of audio models and guide you through building a simple, triggerable speech-to-speech assistant - powered by Voxtral for transcription and speech generation, and Mistral Small as the agentic brain. You’ll learn how to capture audio on demand, transcribe it with diarization and timestamps, process queries with a web-search-enabled LLM, and stream natural-sounding responses in real time.

Designing a speech-to-speech assistant

Join our technical deep dive into Voxtral TTS and Voxtral Transcribe, Mistral's state-of-the-art models for text-to-speech (TTS) and speech-to-text (STT).This session will cover how these models deliver human-like naturalness, ultra-low latency, and seamless multilingual support—plus the engineering optimizations that make it all possible.What you'll learn:<ol><li data-list="bullet">How Voxtral Transcribe pairs with Voxtral TTS for end-to-end speech workflows</li><li data-list="bullet">Engineering secrets to minimize latency and maximize performance for real-time applications</li><li data-list="bullet">Practical use cases: customer support, real-time translation, personalized voice agents, and more</li><li data-list="bullet">Hands-on guidance for integrating these models into your stack via API or open weights</li></ol>

Building Conversational AI with Voxtral

Getting AI systems from prototype to production is not easy—especially for complex enterprises.In this webinar, we’ll be sharing what we’ve learned from working side-by-side with companies to build tailored solutions that successfully move from proof of concept to live, supported AI systems delivering value.<ol><li data-list="bullet">Walk through an example of a real use case our team tackled</li><li data-list="bullet">See a live demo of how we built a tailored solution to address their needs</li><li data-list="bullet">Understand the principles of success, which we used to build AI Studio</li></ol>

Building Production-ready AI Systems

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