Seckin Sefa DURASI

MasterBorder turns a product description and a list of destination markets into a country-by-country cross-border trade compliance report in roughly 60 seconds. Behind the scenes, six specialized Claude Opus 4.7 agents run in parallel via Python asyncio: an Orchestrator that plans the analysis, a Country Agent (which performs HS classification, tariff lookup, and sanctions screening internally per market), a Harmonizer that synthesizes findings across markets, a Conflict Extractor that surfaces cross-market regulatory contradictions, a Confidence Grader that calibrates per-finding confidence (HIGH/MEDIUM/LOW), and a Recommender that powers the multi-turn deep-dive per destination. Each agent runs with an adaptive thinking budget, simple lookups get short reasoning, multi-jurisdictional conflicts get extended thinking. The orchestrator streams live agent telemetry over SSE so the user can watch token usage and thinking traces as the analysis unfolds. The product is built for a spectrum of users. A small artisan in Japan exporting handcrafted goods to three new markets gets the same depth of analysis as a mid size brand in Germany planning a EU > US expansion, or a multinational logistics group in the United States validating sanctions exposure across two dozen destinations. The output adapts to the user, not the other way around: 16 languages with full RTL support (Arabic, Hebrew, Persian), and CJK font handling for Japanese, Korean, and Chinese. The report includes per-country findings with confidence badges (HIGH / MEDIUM / LOW), cross-market regulatory conflict callouts, top-priority legal notices, and a full regulatory sources section with citation URLs. Beyond the initial report, every destination unlocks a Deep dive, a multi-turn strategy chat scoped to that specific country and product. Deep dive isn't an answer engine, it's a creative collaborator: the user can ask follow-up questions about timeline, route-specific political risks, supplier alternatives, or labelling requirements, and the agent deepens the research without the user bringing in extra material. Both the initial analysis and each deep-dive can be exported as a branded PDF with QR verification and full regulatory sources. This is production-running today. Frontend on Vercel, backend on Railway, SQLite for persistence, full CI suite, MIT licensed and open from day one. Twelve clean commits and five stable tags trace the build from the first agent skeleton on Day 1 to the adaptive thinking + agent versioning footer on Day 5. Anyone reviewing the repo can follow the development arc end to end. The design philosophy throughout: collapse a 5 to 7 day, $2.000 broker workflow into sixty seconds and pennies without losing the depth, the confidence calibration, or the human ability to push the analysis further. MasterBorder is what cross border compliance looks like when an export specialist, seasoned or just starting out, has a full time AI strategist sitting next to them.