Draft'n Run is a comprehensive AI back-office platform designed for SaaS teams to design, deploy, and monitor AI agents and workflows with full transparency and control. The platform enables rapid development of production-ready AI features without vendor lock-in, offering an open-source solution that can be self-hosted or used via managed cloud. With a drag-and-drop workflow builder, teams can create complex multi-step AI workflows without coding, accelerating time-to-market from months to minutes.
Key features include an interactive sandbox for testing, comprehensive tracing and monitoring with detailed execution analytics, and cost optimization recommendations. The platform supports AI automation, chatbots, and agentic AI, providing enterprise-grade observability and security from day one. Users can define datasets of test cases, compare workflow versions, and validate outputs to prevent regressions. Testing capabilities include running single or multiple tests, comparing versions to assess changes before deployment, and using LLMs or deterministic metrics like accuracy and precision for quality evaluation.
Benefits include reduced development time, enhanced reliability, and full compliance and budget control. Use cases span across industries for building custom AI solutions, deploying AI features quickly, and ensuring quality through rigorous testing and monitoring. Technical details highlight REST API integration, versioning, and the ability to group reusable test cases per app or feature. The platform is trusted by forward-thinking organizations for its transparency, open-source nature, and zero vendor lock-in, making it ideal for teams seeking to innovate with AI while maintaining control over their data and operations.
SaaS teams, AI developers, product managers, DevOps engineers, platform teams, QA engineers, CTOs
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