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Spotlight on Rivet

Rivet

Rivet

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

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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

  1. Follow the Getting Started guide for building AI agent graphs
  2. Integrate with Node or TypeScript applications
  3. 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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