Elon Musk's frontier LLM — available as an alternative model powering your Fluents voice agents.
Fluents runs on Google Gemini as its default conversation engine. xAI's Grok models are available as an alternative for enterprise customers who have specific reasons to run on xAI's infrastructure — existing agreements, a preference for Grok's reasoning profile, or a desire to diversify model providers across their AI stack.
Like all model alternatives in Fluents, switching to Grok affects only the conversation layer. Deepgram handles transcription, ElevenLabs handles voice synthesis, and Fluents Insights generates structured call output — unchanged.
Grok powers the conversation layer of your Fluents agents — processing transcripts, tracking context, and generating responses on every call
Available for organizations with existing xAI agreements or those running model comparison evaluations across their voice AI stack
Grok's large context window supports complex multi-turn intake conversations without losing track of earlier exchanges
The Three-Layer Stack
Every Fluents call runs through three layers: Deepgram transcribes what the caller says, the conversation engine generates the agent's response, and ElevenLabs synthesizes that response into natural speech. Grok sits in the middle layer — replacing Gemini as the reasoning engine while everything else remains the same.
When to Consider Grok
Grok is a strong choice for organizations that have existing commercial agreements with xAI, want to run model A/B tests across their Fluents agents to benchmark performance on their specific call types, or have AI procurement policies that require model provider diversity. For most Fluents deployments, Gemini remains the default recommendation — but Grok is a capable alternative for teams that need it.
Real-Time Knowledge Advantage
Grok has access to real-time information through xAI's X platform integration. For Fluents agents that need to reference current information — recent policy changes, current rates, up-to-date product specs — Grok's real-time knowledge can reduce the need for retrieval-augmented generation in some use cases.