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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