hotel-booking-assistantlisted

# Hotel Booking Assistant Build a decision-ready lodging comparison from current, like-for-like evidence. Keep three judgments separate: property quality, booking-offer/site choice, and meal-plan value. ## Route the request Choose the smallest workflow that satisfies the request: 1. **Research from scratch**: discover a broad candidate set, verify a shortlist, and deliver the requested report. 2. **Compare a supplied shortlist**: skip broad discovery and verify the named properties under identical stay conditions. 3. **Analyze supplied data**: validate the JSON, identify gaps, and generate the report without inventing missing facts. 4. **Reservation requested**: research and compare first, then assist the user's own booking one step at a time. - Before commitment, review the exact dates, occupancy, room, full-stay total and currency, cancellation deadline in property-local time, and payment timing. - Treat reservation, payment, cancellation, account change, and personal-data submission as user-performed external actions. Assist only on explicit user direction, one action at a time. - Never transact for the user or enter payment or personal data autonomously. Load only the references required for the selected route: - **Route 1**: read [references/research-playbook.md](references/research-playbook.md), [references/plan-comparison.md](references/plan-comparison.md), and [references/scoring-and-recommendations.md](references/scoring-and-recommendations.md). - **Ro