🛠️ Tools & Productivity
Cheap Travel Ticket Advisor
Example outputs
Here is what ChatGPT, Claude, and Gemini typically return for this prompt:
For your NYC to Bangkok trip in November, I recommend booking a layover flight through Tokyo or Seoul, which typically runs $450-550 compared to direct flights at $800+. Consider flying mid-week (Tuesday/Wednesday) and booking 6-8 weeks in advance. I'd suggest checking Skyscanner and Google Flights for the best deals, and look into budget carriers like AirAsia for the Asia leg if you're willing to book segments separately.
For a November trip from New York to Bangkok, you'll likely find the best value with a layover strategy—perhaps flying to Tokyo (around $400-500) and then catching a separate budget carrier to Bangkok ($100-150). That said, prices fluctuate significantly, so I'd recommend setting up price alerts on multiple platforms. Be aware that split-ticketing can save money but adds complexity if there are delays or cancellations.
NYC to Bangkok in November: Cheapest option is typically a one-stop flight via Middle Eastern hubs (Dubai, Doha) or Asian cities (Tokyo, Seoul), ranging $500-650. Book 45-60 days ahead for optimal pricing. Consider combining flights on ITA Matrix to find routes, then book directly with airlines. Alternative: Take a positioning flight to a cheaper departure city like Chicago or LA first, potentially saving $100-200 total.
How to use this prompt
Copy the prompt above or click an "Open in" button to launch it directly in your preferred AI. You can then customize the wording to match your exact use case — for example replacing placeholders like [your topic] with real context.
Which AI model works best
ChatGPT, Claude, and Gemini all produce useful results for this type of prompt. Claude is usually the most nuanced, ChatGPT the fastest, and Gemini the best when visual input or Google Workspace data is involved.
How to customize this prompt
Adapt the prompt to your specific use case. Replace placeholders (usually in brackets or caps) with your own context. The more detail you provide, the more precise the response.
Common use cases
- Use directly in ChatGPT, Claude, or Gemini
- Adapt to your specific project or industry
- Use as a starting point for your own custom prompt
- Compare across models to find the best fit for your case
- Share with your team as a standard workflow
Variations
Adapt the tone (more casual, more technical), change the output format (bullet points vs. paragraphs), or add constraints (word limits, target audience).