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Welcome newcomers to Vienna

Built at Built with Opus 4.7: a Claude Code hackathon · Apr 21, 2026 · Remote

Demo video · www.loom.com/…

Situation-first, grounded, multilingual assistant for Vienna municipal processes for newcomers who just moved here (No matter if its people moving or refugees seeking protection in Vienna). A newcomer describes their situation in plain language — in English, German, Ukrainian, Arabic, or Bosnian/Croatian/Serbian — and Wegweis returns an ordered, verified checklist of what to do next: offices, documents, appointment links, freshness badges, and a direct NGO handoff when the case needs a human. Why this exists Most "chat with the city" tools answer with plausible prose. Newcomers don't need plausible — they need verified, in the right order, with source URLs they can forward to an employer or a school. Wegweis is built around that constraint: Two-stage, prose-free. Stage 1 is a small Anthropic Haiku call in forced tool-use mode that returns closed-vocabulary structured facets (topic, situation tags, language, ambiguity score) — never free text. Stage 2 is a deterministic router that maps those facets to a checklist assembled from author-controlled scenario metadata. Document names, phone numbers, and URLs are never synthesised. Hallucinated enum values are Zod-rejected and the route falls through to a deterministic retrieve baseline. Cached. A 6 h KV-backed prompt cache makes repeat queries return in tens of milliseconds. Only fully grounded answers are cached; clarifier cards, no-coverage fallbacks, and safety-blocked queries are never cached. Situation-first, not topic-first. Users describe their situation ("I just arrived from Ukraine with two children") rather than guessing the right form name. Sequences encode the real journeys; scenarios are their steps. Honest about coverage. When the system doesn't know, it says so and hands off to an NGO list — rather than confidently hallucinating an answer to a stressed newcomer. When the question is genuinely ambiguous, it surfaces a clarifier card rather than guessing.

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