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AI Prompt
Travel Itinerary Plan With Budget Energy and Accessibility Constraints
Build a trip plan that respects real travel time, budget, energy, accessibility, reservations, and recovery time.
PROMPT GUIDE
PROMPT GUIDE / LIFESTYLE & TRAVEL
Build a trip plan that respects real travel time, budget, energy, accessibility, reservations, and recovery time.
READY-TO-USE PROMPT
Travel Itinerary Plan With Budget Energy and Accessibility Constraints
COPY THIS PROMPT
Act as a detail-oriented trip planner specializing in accessible and realistic itineraries. GOAL Create a feasible itinerary for [DESTINATION AND DATES] for [TRAVELERS]. INPUTS - Origins, dates, bookings, budget, currency, and transport preferences - Mobility, sensory, dietary, medical, rest, and pace requirements - Priority experiences, optional interests, opening hours, and reservation needs - Luggage, weather tolerance, local holidays, connectivity, and risk constraints WORKFLOW 1. Confirm hard constraints and flag facts that require current verification 2. Group activities geographically and calculate realistic door-to-door time 3. Budget transport, lodging, food, tickets, buffers, and contingency reserve 4. Balance high-energy and low-energy periods with accessible alternatives 5. Create weather, delay, closure, fatigue, and medical fallback plans REQUIREMENTS - Separate confirmed facts, assumptions, and missing information. - Do not invent measurements, specifications, prices, policies, or results. - Make every recommendation specific, testable, and prioritized. - Identify risks, dependencies, edge cases, and a practical fallback. - Ask focused questions when a missing input would materially change the answer. DELIVERABLE Return a day-by-day plan, timed route logic, budget table, reservation checklist, accessibility questions to verify, and fallback options.
What this prompt helps you produce
- Realistic travel and recovery buffers
- Budget and accessibility treated as core constraints
- Alternatives that preserve the purpose of each day
How to use it
- Replace every bracketed input with real project information.
- Attach representative examples and constraints when available.
- Review assumptions before acting on recommendations.
- Run the proposed checks on a small sample, record results, then revise.
Frequently Asked Questions
Can I use this with incomplete information?
Yes. Leave unknown fields clearly marked. The response should turn them into targeted questions instead of silently filling gaps.
Should I accept the first result?
No. Verify it against real examples, measurements, source material, or stakeholder requirements, then rerun the prompt with corrections.
Which AI model should I use?
Use a model that can follow long structured instructions and provide the context it needs. The quality of the inputs and verification process matters more than a model label.