xAI (Grok)
Fluents + x.ai provides seamless meeting scheduling enhanced with AI voice automation, ensuring efficiency in campaigns through powerful integration and compliance.
Run xAI Grok as Your Fluents Conversation Engine
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.
Calls That Just Work
No per-minute taxes. No brittle workflows. Just enterprise-grade reliability with API-level flexibility.
Request a New Integration
We’re constantly expanding our library. If your stack isn’t covered yet, request it here — we’ll support niche tools and co-build connectors.
Other Integrations
Dive deeper with setup guides, API references, and partner tutorials to unlock the full potential of Fluents integrations.
Fluents + Keragon
Automate Patient Communication with Fluents Voice AI The Fluents connector for Keragon bridges the gap between your healthcare data and action. By integrating Fluents' powerful Voice AI directly into your Keragon workflows, you can automatically trigger outbound phone calls to patients or staff based on real-time events.
Fluents + MailerLite empowers real-time voice integration into your email campaigns, enhancing orchestration and maintaining compliance across channels.
Fluents + BotPenguin empower real campaigns with seamless integration, compliance assurance, and enhanced communication orchestration.
“Fluents made it incredibly fast to get our AI agent live. It replaced an answering service that cost 5x more - and performed better. Trusted partner, excellent quality, zero hassle.”

.avif)
FAQs
Questions about using xAI Grok in Fluents.
Gemini is Fluents' default and recommended conversation engine for most use cases. Grok is available as an alternative for organizations with specific reasons to use xAI's infrastructure. Contact the team to discuss whether Grok is the right fit for your deployment.
Yes. Fluents supports per-agent model configuration, which means you can run identical agents on different conversation engines to benchmark response quality, call completion rates, and data extraction accuracy for your specific use case.
Model configuration is an enterprise feature. Contact the Fluents team to discuss your requirements and configure Grok for your deployment.