Artificial intelligence.
Move from a demo to an accountable experiment.

Start with the outcome an AI-assisted product should improve, then decide how to test it against a simpler alternative. This collection focuses on bounded tasks, bilingual evaluation, data permissions, human review, and the cost of operating the complete workflow. It avoids model rankings and unsupported accuracy claims. The first guide takes you through a measured pilot, while the related software and privacy resources help you review its foundations. Expanding the users, information, or authority of a system should prompt a fresh assessment rather than an automatic rollout.