A trade policy expert is transforming into a Domain-Expert Developer by creating TariffIntellect, an AI prototype that safely integrates visual recognition with a strict audit trail for international trade. This hybrid system, deployed on Google Cloud Run, combines Gemini 2.0 Flash for object detection with a Smart Routing Architecture that ensures human oversight for high-risk items, addressing the dangers of 'Black Box' AI in customs classification.

TariffIntellect differentiates between general and high-risk items, using a 'Green Lane' for automated classification and a 'Red Lane' for human intervention. This approach enhances safety and compliance in global trade, particularly in regulated industries where misclassification can lead to duty evasion and national security risks. The system's 'Ambiguity Engine' cross-references AI results with a deterministic rule set, ensuring transparent and legally defensible decisions.

The project was built using Google's modern development ecosystem, including Google Antigravity for rapid scaffolding and Python 3.11 for backend logic. The developer leveraged the `gcloud` CLI to deploy the container on Google Cloud Run, making the app scalable and publicly accessible. This prototype demonstrates the potential for AI to modernize global trade while maintaining compliance and safety, setting a foundation for future developments in AI-driven customs solutions.