Token limits—the amount of text an AI can process in one go—work against long travel narratives or detailed journeys because each part of your story takes up space the system could use for reasoning about your answer. If your travel questions are getting cut off or ignored halfway through, you've hit this limit; break your planning into shorter sessions or paste a brief summary at the start of each new conversation.
Tokens are how AI measures "length." It's not exactly word count—tokens are chunks of text (roughly 3-4 words per token, though it varies). Every AI has a token limit: ChatGPT might handle 128,000 tokens, while other models top out at 4,000 tokens. When you hit the limit, the AI either stops responding or starts forgetting earlier parts of your conversation.
For travel planning, this is frustrating. You're building a complex multi-city itinerary, asking questions back-and-forth, and suddenly the AI "forgets" important context from earlier in the conversation (your budget, your travel style, your family situation).
Problems you might encounter:
If you're planning something complex (like a 21-day multi-country trip with specific requirements), you might need 15-20 back-and-forth messages, which can exceed token limits on older or more restricted models.
Most AI tools don't show you exact token count, but you can estimate: 1,000 tokens ≈ 750 words. If you're writing very long prompts (5,000+ words), you're using a significant portion of a smaller model's capacity.
Try this: Plan a multi-city trip using ChatGPT and count how many back-and-forth messages you need. Notice if later responses become generic or repetitive—signs you might be hitting token limits. Then try the same planning using Claude, which has a higher token limit, and compare the consistency of responses across the full conversation.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.