Freeplay

Freeplay is a platform built for teams that develop and maintain AI-powered applications. It connects the key parts of the AI engineering workflow—observability, evaluations, and testing—into a single system. The goal is to help teams move from isolated, ad-hoc prompt tweaking to a disciplined, data-driven process for improving their AI features. It provides the tools to manage different prompts and models, define how to measure success, run experiments, and watch what happens when features go live.

It works by giving teams a central place to handle their AI development lifecycle. Engineers can use its SDKs to integrate their code, version prompts, and launch batch tests to see the impact of any change. The platform includes a customizable playground for crafting prompts across different LLM providers and comparing results. A major focus is on closing the feedback loop: production data can be searched, reviewed, and turned into test cases or datasets for further experimentation, creating a continuous cycle of improvement.

This tool is for engineering teams that are serious about shipping reliable, high-quality AI products. It's particularly useful for companies that have moved beyond prototypes and need to manage AI at scale. Use cases include an e-commerce platform testing different versions of a product description generator, a customer support tool monitoring its AI assistant's responses, or any team that wants to replace guesswork with measurable experiments when updating their LLM features.