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Spec27

Spec-driven testing for AI agents and AI apps

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Spec27 provides a framework for testing AI agents and AI‑driven applications by defining expected behavior through specifications. Developers write formal specs that describe inputs, outputs, and interaction patterns, and the tool executes tests that verify whether the AI system conforms to those expectations. The approach focuses on deterministic validation rather than ad‑hoc prompting, aiming to catch regressions and unintended behavior early in the development cycle.

The platform is intended for engineers building conversational agents, autonomous bots, or any application that relies on generative AI components. By using spec‑driven tests, teams can automate quality checks, integrate them into CI pipelines, and maintain a documented contract for how the AI should respond under various conditions.

Spec27 is currently in an experimental stage, offering core functionality for defining specs and running corresponding tests. It does not claim production‑grade stability, and users are encouraged to treat it as a prototype for exploring specification‑based validation of AI systems.

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