Spotlight on Rivet

Rivet

Teams struggle to effectively build, debug and collaborate on complex AI agents and LLM prompt chains programmatically.

Core Features

Visualize and build complex chains for production applications
Debug remotely with real-time execution monitoring
Collaborate using version-controlled YAML files

Use Case: Contract AI

Ironclad Contract AI (CAI) is built using Rivet, demonstrating its capability to power virtual contract assistants that can handle diverse questions about contract lifecycles.

Getting Started

Follow the Getting Started guide for building AI agent graphs
Integrate with Node or TypeScript applications
Experiment with example chat applications

Community Impact

Trusted by technical leaders for:

Rapid prototyping of AI workflows
Creating complex chains for AI agents
Building production-ready AI-powered experiences

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