Freeplay for Web

Improving LLM development with Freeplay

Freeplay is a browser-based workspace designed to speed up how product teams build and refine applications that rely on large language models. The interface helps teams iterate on ideas quickly, keep track of prompt versions, and measure model behavior without deep engineering involvement. It makes switching between different LLM providers simple, so product and design teams can experiment with prompts and tests directly.

Core capabilities

• Start human labeling campaigns to collect labeled examples and increase confidence in model outputs.
• Run AI-powered evaluations that score and compare model responses automatically.
• Execute scheduled or on-demand automated tests that check prompt performance over time.
• Manage and restore prompt revisions to maintain a clear history of changes and experiments.

Tools for developers and deployment

• Java SDK and integrations for embedding Freeplay workflows into backend systems.
• Node tooling to connect tests and automation into existing developer pipelines.
• Python libraries for data scientists to script experiments and analyze results.
• Options to self-host the platform, inspect multiple deployment environments, and monitor prompt costs and latency.

Teamwork, feedback, and outcomes

Freeplay encourages cross-functional collaboration by providing shared workspaces and reproducible test runs. Teams can see cost and latency implications of different prompts, iterate in place, and hand off refined prompts to engineers when needed. Companies such as Help Scout and Framer have reported faster iteration cycles and more effective fine-tuning of their services after adopting the platform.

Alternative option

ContentAtScale’s Free AI Detector (available via subscription) can serve as a complementary or substitute tool for specific detection and evaluation needs, depending on your workflow and budget constraints.