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Become a silver sponsor and get your logo on our README on Github as well as on the homepage with a link to your site. This is a donation. No goods... Read more
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Focus on new AI experiences while AI Model Match chooses the best prompt pipeline for you. It automates release and experimentation for AI Applications. You define the use case, we collect feedback, and automatically promote top-performing prompts for you. The Problem
Releasing new prompts or model configurations is risky. Synthetic data tests or small evaluation sets just can’t predict how real users will react—everyone has different expectations, sensitivities, and context.
Without a safe way to roll out updates gradually, teams either risk breaking the user experience or slow down innovation. On top of that, AI teams are often stuck in release schedules and code cycles, making it hard to focus on what really matters: improving prompts and AI behavior quickly and safely.
The Solution
AI Model Match tackles the risks of releasing new prompts by letting teams roll out changes gradually and safely. Instead of relying on synthetic data or small tests, updates are exposed to real users in controlled phases, allowing the system to monitor performance, collect feedback, and detect issues immediately. Underperforming prompts are automatically rolled back, while the best strategies are promoted in real time. It’s like A/B testing for AI prompts, but continuous, adaptive, and fully automatic.
Who It’s For
AI Model Match is designed for AI PMs who want to test and iterate on AI behavior faster, for AI teams seeking data-driven optimization rather than only tests on synthetic data, and for companies committed to delivering consistent, reliable AI experiences while continuously improving and minimizing risks.
