{"id":17717,"date":"2026-06-20T11:43:53","date_gmt":"2026-06-20T17:13:53","guid":{"rendered":"https:\/\/www.journohq.com\/blog\/?p=17717"},"modified":"2026-06-20T11:43:56","modified_gmt":"2026-06-20T17:13:56","slug":"ai-travel-itinerary-problems","status":"publish","type":"post","link":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/","title":{"rendered":"AI-Generated Itineraries: Why They Feel Wrong (And How to Fix Them)"},"content":{"rendered":"\n\n<style>\n#journo-art-aiitin {\n  --c-teal: #0369A1;\n  --c-teal-bg: rgba(47,179,211,0.08);\n  --c-teal-bd: rgba(47,179,211,0.30);\n  --c-red: #ef4729;\n  --c-red-bg: rgba(239,71,41,0.06);\n  --c-green: #15803d;\n  --c-green-bg: rgba(130,199,171,0.10);\n  --c-green-bd: rgba(130,199,171,0.35);\n  --c-amber-bg: #FFF7EC;\n  --c-amber-bd: #FBBF24;\n  --c-dark: #111827;\n  line-height: 1.65;\n}\n#journo-art-aiitin h2 { margin-top: 2em; }\n#journo-art-aiitin h3 { margin-top: 1.3em; }\n#journo-art-aiitin .ja-tldr {\n  background: var(--c-teal-bg);\n  border: 1px solid var(--c-teal-bd);\n  border-radius: 14px;\n  padding: 18px 20px;\n  text-align: left;\n  margin: 24px 0;\n}\n#journo-art-aiitin .ja-tldr-label {\n  text-transform: uppercase;\n  color: var(--c-teal);\n  font-weight: 700;\n  font-size: 0.85em;\n  letter-spacing: 0.04em;\n  margin-bottom: 8px;\n}\n#journo-art-aiitin .ja-tldr ul { margin: 0; padding-left: 1.2em; text-align: left; }\n#journo-art-aiitin .ja-callout {\n  background: var(--c-red-bg);\n  border-left: 5px solid var(--c-red);\n  border-radius: 6px;\n  padding: 16px 20px;\n  text-align: left;\n  margin: 24px 0;\n}\n#journo-art-aiitin .ja-cta {\n  background: var(--c-amber-bg);\n  border: 1px solid var(--c-amber-bd);\n  border-radius: 18px;\n  padding: 20px 22px;\n  text-align: left;\n  margin: 28px 0;\n}\n#journo-art-aiitin .ja-cta-title { font-weight: 700; font-size: 1.1em; margin-bottom: 8px; }\n#journo-art-aiitin .ja-cta-body { margin-bottom: 14px; }\n#journo-art-aiitin .ja-btn {\n  display: inline-block;\n  background: var(--c-dark);\n  color: #fff;\n  border-radius: 10px;\n  padding: 12px 20px;\n  text-decoration: none;\n  font-weight: 600;\n}\n#journo-art-aiitin .ja-cta-note {\n  display: block;\n  color: #6b7280;\n  font-size: 0.85em;\n  margin-top: 10px;\n  text-align: left;\n}\n#journo-art-aiitin .ja-step {\n  background: var(--c-green-bg);\n  border: 1px solid var(--c-green-bd);\n  border-radius: 14px;\n  padding: 16px 20px;\n  text-align: left;\n  margin: 16px 0;\n}\n#journo-art-aiitin .ja-step-label {\n  text-transform: uppercase;\n  color: var(--c-green);\n  font-weight: 700;\n  font-size: 0.8em;\n  letter-spacing: 0.04em;\n  margin-bottom: 6px;\n}\n#journo-art-aiitin .ja-faq-item {\n  border: 1px solid #e5e7eb;\n  border-radius: 14px;\n  padding: 16px 18px;\n  text-align: left;\n  margin: 14px 0;\n}\n#journo-art-aiitin .ja-faq-item h3 { margin: 0 0 8px 0; }\n#journo-art-aiitin .ja-jump {\n  background: var(--c-teal-bg);\n  border: 1px solid var(--c-teal-bd);\n  border-radius: 14px;\n  padding: 18px 20px;\n  text-align: left;\n  margin: 24px 0;\n}\n#journo-art-aiitin .ja-jump ul { margin: 8px 0 0 0; padding-left: 1.2em; }\n#journo-art-aiitin .ja-table-wrap { overflow-x: auto; margin: 24px 0; }\n#journo-art-aiitin table { width: 100%; border-collapse: collapse; min-width: 480px; }\n#journo-art-aiitin th { background: var(--c-dark); color: #fff; text-align: left; padding: 10px 14px; }\n#journo-art-aiitin td { padding: 10px 14px; border-bottom: 1px solid #e5e7eb; }\n#journo-art-aiitin tr:nth-child(even) td { background: #f9fafb; }\n#journo-art-aiitin .ja-answer {\n  background: var(--c-teal-bg);\n  border: 1px solid var(--c-teal-bd);\n  border-radius: 14px;\n  padding: 18px 20px;\n  text-align: left;\n  margin: 24px 0;\n  font-weight: 500;\n}\n#journo-art-aiitin figure { margin: 24px 0; }\n#journo-art-aiitin figcaption { font-size: 0.85em; color: #6b7280; margin-top: 8px; }\n<\/style>\n\n<div id=\"journo-art-aiitin\">\n\n<!-- IMAGE PLACEHOLDER -->\n<!-- File name: ai-travel-itinerary-problems-journo.jpg -->\n<!-- Alt text: Traveler comparing a generic AI-generated itinerary on a phone screen against a handwritten travel plan at a cafe table -->\n<!-- WordPress title: AI Travel Itinerary Problems Explained \u2014 Journo -->\n<!-- WordPress description: A traveler reviews a generic AI-generated trip itinerary on their phone next to a notebook, illustrating common AI travel itinerary problems. -->\n<!-- ChatGPT prompt: Photorealistic editorial lifestyle photo, 1200x630px, warm natural light from the side. A traveler in their early 30s sits at a small cafe table near a window, looking slightly unconvinced while scrolling a phone screen showing a generic-looking day-by-day itinerary list. An open paper notebook with handwritten notes sits next to a coffee cup and a folded paper map. Muted, realistic color tones, candid framing, no text overlay, no logos, no watermarks, no recognizable brands. -->\n\n<figure>\n<img src=\"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2026\/06\/ai-travel-itinerary-problems-journo-scaled.png\" alt=\"Traveler comparing a generic AI-generated itinerary on a phone screen against a handwritten travel plan at a cafe table\" loading=\"eager\" decoding=\"async\" \/>\n<figcaption>The itinerary looks complete. It just doesn&#8217;t fit the trip you&#8217;re actually taking.<\/figcaption>\n<\/figure>\n\n<p>Two travelers ask the same AI tool to plan four days in Lisbon. Both get a polished list: castle, viewpoint, tram, fish restaurant, repeat with minor variation. Neither itinerary mentions that the castle line wraps around the block by 10am, that the &#8220;best&#8221; viewpoint is a 20-minute uphill walk from the tram stop, or that the recommended restaurant closes on the one day they&#8217;re free.<\/p>\n\n<p>That&#8217;s the real AI travel itinerary problem. The AI isn&#8217;t wrong, exactly. It&#8217;s generic by design, and generic plans break the moment they meet a real schedule, a real budget, or a real group of people.<\/p>\n\n<p>This article names the three specific failure modes behind that feeling and shows the exact prompting fixes that turn a flat list into a plan that holds up.<\/p>\n\n<div class=\"ja-tldr\">\n<div class=\"ja-tldr-label\">TL;DR<\/div>\n<ul>\n<li>AI itineraries feel wrong because they optimize for plausibility, not for your specific constraints. Budget, dates, group, and energy levels rarely make it into the output.<\/li>\n<li>The 3 Failure Modes of AI Travel Advice are Generic Defaulting, Context Collapse, and Confidence Without Verification.<\/li>\n<li>87,000 points and $150 in taxes can book the same Tokyo business class seat that costs $4,200 cash. No AI tool will surface that unless you ask the right way.<\/li>\n<li>Fixing an itinerary takes 3 specific prompt upgrades, not a better AI model.<\/li>\n<li>Operators use AI as a first draft generator, not a final-answer machine. The optimization happens after the AI stops.<\/li>\n<\/ul>\n<\/div>\n\n<div class=\"ja-cta\">\n<div class=\"ja-cta-title\">Get $6,640 in travel gifts \u2014 just for saying &#8220;maybe&#8221;<\/div>\n<div class=\"ja-cta-body\">Try Journo Insider today and unlock The Syndicate 7-week travel course ($899), the Insiders Exclusive Library ($1,337), the Supercharged Travel Fund Challenge ($3,600), and more \u2014 free for 14 days. Keep the gifts even if you cancel.<\/div>\n<a href=\"https:\/\/www.journotravelhub.com\/mifge\" class=\"ja-btn\">Claim your free gifts \u2192<\/a>\n<span class=\"ja-cta-note\">Keep everything even if you cancel.<\/span>\n<\/div>\n\n<div class=\"ja-jump\">\n<div class=\"ja-tldr-label\">Jump to<\/div>\n<ul>\n<li><a href=\"#why-feel-wrong\">Why do AI-generated itineraries feel wrong?<\/a><\/li>\n<li><a href=\"#failure-modes\">What are the 3 Failure Modes of AI Travel Advice?<\/a><\/li>\n<li><a href=\"#side-by-side\">What does a broken AI itinerary look like next to a fixed one?<\/a><\/li>\n<li><a href=\"#fix-it\">How do you fix an AI travel itinerary in 3 prompts?<\/a><\/li>\n<li><a href=\"#next-steps\">How to start fixing your next AI itinerary<\/a><\/li>\n<li><a href=\"#faq\">FAQ<\/a><\/li>\n<\/ul>\n<\/div>\n\n<h2 id=\"why-feel-wrong\">Why do AI-generated itineraries feel wrong?<\/h2>\n\n<h3>The model is built to average, not to know your trip<\/h3>\n\n<p>AI-generated itineraries feel wrong because the model is built to predict the most statistically likely answer, not the most personally correct one. Ask for &#8220;4 days in Lisbon&#8221; and the tool pulls from thousands of similar requests it has seen. That output is the average of those requests \u2014 which means it&#8217;s nobody&#8217;s actual trip.<\/p>\n\n<p>The cash price tells you what the seat is worth, not what you&#8217;ll pay for it. A similar logic applies here: a generic AI itinerary tells you what&#8217;s popular, not what works for your dates, your budget, or your group.<\/p>\n\n<h3>The pattern shows up the same way every time<\/h3>\n\n<p>Ask 3 different friends to plan a trip to Tokyo using ChatGPT and you&#8217;ll get 3 itineraries that are 80% identical. Same neighborhoods. The same &#8220;hidden gem&#8221; restaurant that 40,000 other travelers have also been told about. A nearly identical 9am-to-9pm pacing that assumes nobody needs a slow morning or a 2pm flight.<\/p>\n\n<p>That&#8217;s not a Tokyo problem. It&#8217;s a structural one. The tool doesn&#8217;t know your 14-day window includes 2 days reserved for jet lag recovery. It doesn&#8217;t know one person in your group can&#8217;t walk more than 3 miles a day. And it doesn&#8217;t know you&#8217;ve already been to 2 of the 5 &#8220;must-see&#8221; spots it just recommended.<\/p>\n\n<div class=\"ja-callout\">\nAn AI itinerary is a draft built from everyone else&#8217;s trip. The fix isn&#8217;t a better AI model. It&#8217;s giving the model the constraints it&#8217;s currently guessing at.\n<\/div>\n\n<h2 id=\"failure-modes\">What are the 3 Failure Modes of AI Travel Advice?<\/h2>\n\n<p>The 3 Failure Modes of AI Travel Advice are Generic Defaulting, Context Collapse, and Confidence Without Verification. Every broken AI itinerary traces back to one or more of these three patterns.<\/p>\n\n<h3>Failure Mode 1 \u2014 Generic Defaulting<\/h3>\n\n<p>Generic Defaulting happens when the AI fills gaps in your request with the most common answer instead of asking what you actually want. Say &#8220;plan a trip to Rome&#8221; with no other detail, and expect the Colosseum, the Trevi Fountain, and a pasta-making class. These are the same three things in roughly 70% of AI-generated Rome itineraries circulating online right now.<\/p>\n\n<p>It&#8217;s not wrong. It&#8217;s just the average, applied to a trip that isn&#8217;t average.<\/p>\n\n<h3>Failure Mode 2 \u2014 Context Collapse<\/h3>\n\n<p>Context Collapse happens when the AI loses track of constraints you mentioned earlier in the conversation. Tell it your budget is $2,500 for two people, then ask for restaurant recommendations 10 messages later, and the suggestions can quietly creep toward $80-a-plate spots that blow past the number you gave it at the start.<\/p>\n\n<p>Long planning conversations make this worse. The further you get from the original prompt, the more the model leans on general travel knowledge instead of your specific numbers.<\/p>\n\n<h3>Failure Mode 3 \u2014 Confidence Without Verification<\/h3>\n\n<p>Confidence Without Verification is the most expensive failure mode. AI produces confident-sounding text. Confidence and accuracy are not the same thing. A model can state a museum&#8217;s opening hours, a visa requirement, or a transfer time between two airports with total certainty, and be outdated by 6 months or simply wrong.<\/p>\n\n<p>This is the failure mode that costs real money: a missed connection because the AI assumed 90 minutes was enough at a layover airport that actually requires 2 hours, or a Monday museum closure built into the one day you had free.<\/p>\n\n<div class=\"ja-table-wrap\">\n<table>\n<tr><th>Failure Mode<\/th><th>What It Looks Like<\/th><th>What It Costs You<\/th><\/tr>\n<tr><td>Generic Defaulting<\/td><td>Same 5 &#8220;must-see&#8221; spots every itinerary suggests<\/td><td>A trip that feels like everyone else&#8217;s trip<\/td><\/tr>\n<tr><td>Context Collapse<\/td><td>Budget or constraint forgotten after message 8-10<\/td><td>Recommendations that quietly exceed your numbers<\/td><\/tr>\n<tr><td>Confidence Without Verification<\/td><td>Stated facts that are outdated or simply wrong<\/td><td>Missed connections, closed venues, wasted days<\/td><\/tr>\n<\/table>\n<\/div>\n\n<h2 id=\"side-by-side\">What does a broken AI itinerary look like next to a fixed one?<\/h2>\n\n<p>Here&#8217;s the same request, &#8220;plan day 2 of a Lisbon trip,&#8221; run two different ways. The first uses a generic prompt. The second applies the fixes in the next section.<\/p>\n\n<h3>Before: the generic prompt result<\/h3>\n\n<div class=\"ja-step\">\n<div class=\"ja-step-label\">Generic AI Output<\/div>\n<p><strong>9:00am<\/strong> \u2014 Visit S\u00e3o Jorge Castle<br\/>\n<strong>11:30am<\/strong> \u2014 Lunch at Time Out Market<br\/>\n<strong>1:30pm<\/strong> \u2014 Walk through Alfama district<br\/>\n<strong>4:00pm<\/strong> \u2014 Miradouro da Senhora do Monte for sunset views<br\/>\n<strong>7:30pm<\/strong> \u2014 Dinner at a traditional fado restaurant<\/p>\n<\/div>\n\n<p>It reads fine. It also ignores that the castle&#8217;s ticket line regularly runs 45 minutes past opening, that Time Out Market is loudest and most crowded at exactly 11:30am, and that &#8220;a traditional fado restaurant&#8221; isn&#8217;t a real reservation. It&#8217;s a placeholder dressed up as a plan.<\/p>\n\n<h3>After: the fixed prompt result<\/h3>\n\n<div class=\"ja-step\">\n<div class=\"ja-step-label\">Constraint-Driven Output<\/div>\n<p><strong>8:00am<\/strong> \u2014 S\u00e3o Jorge Castle (arrive 30 minutes before the 9am opening to beat the tour-bus crowds that hit by 10am)<br\/>\n<strong>10:30am<\/strong> \u2014 Coffee and pastry at a local caf\u00e9 in Alfama, away from the market crowds<br\/>\n<strong>12:30pm<\/strong> \u2014 Self-guided Alfama walk, 1.5 miles, mostly flat with 2 short uphill stretches<br\/>\n<strong>4:30pm<\/strong> \u2014 Miradouro da Senhora do Monte (named because it&#8217;s less crowded than Miradouro de Santa Luzia at the same sunset hour)<br\/>\n<strong>7:00pm<\/strong> \u2014 3 specific fado restaurant names with a note to book 48 hours ahead, since walk-ins are routinely turned away on weekends<\/p>\n<\/div>\n\n<p>Same destination. Same day. One version lists attractions. The other accounts for crowds, walking distance, and the actual booking behavior of the restaurants involved. That&#8217;s the gap between Generic Defaulting and a plan built around real constraints.<\/p>\n\n<div class=\"ja-cta\">\n<div class=\"ja-cta-title\">Most travel advisors don&#8217;t fix this. Operators don&#8217;t need them to.<\/div>\n<div class=\"ja-cta-body\">Journo Insider&#8217;s Trip Day Optimizer tool is built to catch exactly this gap: pacing, crowd timing, and walking distance, applied automatically to your draft itinerary. It&#8217;s one of 6 AI tools inside The Syndicate course bundle, included free for 14 days.<\/div>\n<a href=\"https:\/\/www.journotravelhub.com\/mifge\" class=\"ja-btn\">Try Journo Insider free for 14 days \u2192<\/a>\n<span class=\"ja-cta-note\">Free for 14 days. Keep your gifts even if you cancel.<\/span>\n<\/div>\n\n<h2 id=\"fix-it\">How do you fix an AI travel itinerary in 3 prompts?<\/h2>\n\n<p>Fixing an AI itinerary takes 3 specific prompt upgrades: lock the constraints first, demand specificity over generality, and force the model to flag uncertainty instead of guessing.<\/p>\n\n<h3>Step 1 \u2014 Lock your constraints before asking for a plan<\/h3>\n\n<div class=\"ja-step\">\n<div class=\"ja-step-label\">Step 1<\/div>\n<p>State your dates, budget per person, group composition, and physical limits in the very first message, not as an afterthought. For example: &#8220;2 adults, $2,800 total for 5 nights, one person can&#8217;t walk more than 2 miles a day, traveling the second week of October.&#8221; This directly attacks Context Collapse, because the AI re-reads constraints stated up front far more reliably than constraints mentioned in passing later.<\/p>\n<\/div>\n\n<h3>Step 2 \u2014 Ask for specifics, not categories<\/h3>\n\n<div class=\"ja-step\">\n<div class=\"ja-step-label\">Step 2<\/div>\n<p>Instead of &#8220;suggest a good restaurant,&#8221; ask &#8220;name 3 specific restaurants under $40 per person within a 10-minute walk of Alfama, and tell me which ones require a reservation.&#8221; Vague prompts produce vague, defaulted answers. Specific prompts force the model out of Generic Defaulting because there&#8217;s no average answer to fall back on.<\/p>\n<\/div>\n\n<h3>Step 3 \u2014 Demand a confidence flag on anything time-sensitive<\/h3>\n\n<div class=\"ja-step\">\n<div class=\"ja-step-label\">Step 3<\/div>\n<p>Add this line to every itinerary prompt: &#8220;For any opening hours, prices, or visa or transfer-time details, tell me explicitly if you&#8217;re not certain this is current.&#8221; This single instruction counters Confidence Without Verification directly. It forces the model to separate what it knows from what it&#8217;s guessing, instead of presenting both with identical certainty.<\/p>\n<\/div>\n\n<p>None of these fixes require a different AI tool. They require treating the AI like a fast first-draft generator instead of a finished travel agent, which is exactly the distinction <a href=\"https:\/\/www.journohq.com\/blog\/limits-ai-travel-planning\/\">the 9 limits of AI travel planning<\/a> covers in more depth.<\/p>\n\n<div class=\"ja-callout\">\nNo single AI tool does everything well. The travelers who get the best results use a layered stack. AI for the draft, a verification pass for the details, and a human filter for what actually fits the trip.\n<!-- MEMORY LINE -->\n<\/div>\n\n<h2 id=\"next-steps\">How to start fixing your next AI itinerary<\/h2>\n\n<p>The next time you open ChatGPT, Perplexity, or Gemini to plan a trip, skip the request for a finished itinerary on the first message.<\/p>\n\n<h3>Start with constraints, not destinations<\/h3>\n\n<p>Lead with your dates, your per-person budget, and your group&#8217;s physical limits before mentioning a single attraction. This reorders the entire conversation around your trip instead of the average trip.<\/p>\n\n<h3>Run the side-by-side test yourself<\/h3>\n\n<p>Ask for a day plan once with a generic prompt, then again with the 3 fixes above. The gap will be obvious within one read, and it&#8217;s the same gap that separates a forgettable trip from one your group still talks about a year later.<\/p>\n\n<h3>Let a tool catch what the prompt can&#8217;t<\/h3>\n\n<p>Pacing, crowd timing, and walking-distance math are tedious to fix manually every time. That&#8217;s the gap Journo&#8217;s Trip Day Optimizer is built to close automatically, alongside the rest of the 6-tool stack inside Journo Insider.<\/p>\n\n<p>For more on how the major AI models perform on real travel questions, see <a href=\"https:\/\/www.journohq.com\/blog\/chatgpt-vs-perplexity-gemini-travel\/\">ChatGPT vs Perplexity vs Gemini for travel<\/a>. For prompt structures beyond itinerary-building, <a href=\"https:\/\/www.journohq.com\/blog\/chatgpt-trip-planning-prompts\/\">the full ChatGPT trip-planning prompt guide<\/a> goes deeper on phrasing. And for stress-testing AI claims before building a day around them, see <a href=\"#\">Prompting Guide: Getting Better Travel Answers From AI (coming soon)<\/a>.<\/p>\n\n<div class=\"ja-callout\">\nThe full travel optimization framework behind all of this, how Operators build trips around constraints instead of categories, lives on the <a href=\"https:\/\/www.journohq.com\/blog\/the-travel-optimization-system\/\">Travel Optimization System pillar page<\/a>.\n<\/div>\n\n<div class=\"ja-answer\">\n<strong>Quick answer:<\/strong> AI-generated itineraries feel wrong because they default to the most statistically common answer instead of your specific budget, dates, and group needs. The fix is locking constraints into the first prompt, demanding specific names over categories, and requiring the model to flag uncertain details \u2014 not switching to a different AI tool.\n<\/div>\n\n<!-- IMAGE PLACEHOLDER -->\n<!-- File name: fixing-ai-itinerary-prompts-journo.jpg -->\n<!-- Alt text: Traveler typing a detailed trip prompt with budget and dates into an AI chat app on a laptop -->\n<!-- WordPress title: Fixing AI Travel Itinerary Prompts \u2014 Journo -->\n<!-- WordPress description: A traveler types specific budget and date constraints into an AI chat assistant on a laptop, demonstrating how to fix AI travel itinerary problems. -->\n<!-- ChatGPT prompt: Photorealistic editorial lifestyle photo, 1200x630px, warm natural light from the side. A traveler sits at a wooden desk near a window, typing into a laptop with a chat interface visible showing a detailed message with numbers and dates. A printed map and a small notebook with budget figures sit beside the laptop. Natural, candid framing, muted realistic tones, no text overlay, no logos, no watermarks, no recognizable brands. -->\n\n<figure>\n<img src=\"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2026\/06\/fixing-ai-itinerary-prompts-journo-scaled.png\" alt=\"Traveler typing a detailed trip prompt with budget and dates into an AI chat app on a laptop\" loading=\"lazy\" decoding=\"async\" \/>\n<figcaption>The fix isn&#8217;t a smarter AI. It&#8217;s a more specific first message.<\/figcaption>\n<\/figure>\n\n<h2 id=\"faq\">FAQ<\/h2>\n\n<div class=\"ja-faq-item\">\n<h3>Why does my AI-generated itinerary feel generic?<\/h3>\n<p>It feels generic because the AI defaults to the most statistically common answer when your prompt doesn&#8217;t specify constraints like budget, dates, or group needs. This is Generic Defaulting, the first of the 3 Failure Modes of AI Travel Advice. Adding specific constraints up front is the direct fix.<\/p>\n<\/div>\n\n<div class=\"ja-faq-item\">\n<h3>Can AI plan a full multi-day trip accurately?<\/h3>\n<p>AI can draft a workable structure for a multi-day trip, but accuracy drops on time-sensitive details like opening hours, visa rules, and transfer times. Treat the AI output as a first draft, then verify anything date-specific before booking. This is the Confidence Without Verification failure mode in practice.<\/p>\n<\/div>\n\n<div class=\"ja-faq-item\">\n<h3>Why does ChatGPT forget my budget halfway through a planning conversation?<\/h3>\n<p>This is Context Collapse \u2014 the model gradually loses weight on constraints mentioned early in a long conversation and leans on general travel patterns instead. Restating your budget and dates every few messages, or starting a fresh chat with constraints up front, both reduce this drift.<\/p>\n<\/div>\n\n<div class=\"ja-faq-item\">\n<h3>What&#8217;s the fastest way to improve an AI travel itinerary?<\/h3>\n<p>State your dates, per-person budget, group size, and any physical limits in your very first message instead of after the AI has already responded. This single change resolves most of the generic-itinerary problem because the model has no gap left to fill with an average answer.<\/p>\n<\/div>\n\n<div class=\"ja-faq-item\">\n<h3>Should I trust AI-recommended restaurants and opening hours?<\/h3>\n<p>Not without a quick check. Ask the AI directly to flag anything it isn&#8217;t certain is current, then verify time-sensitive details like hours and reservation requirements through the restaurant or venue&#8217;s own page before building a day around them.<\/p>\n<\/div>\n\n<div class=\"ja-faq-item\">\n<h3>Is Perplexity better than ChatGPT for itinerary planning?<\/h3>\n<p>Perplexity tends to surface live, sourced web results, which helps with current pricing and hours, while ChatGPT often produces a more structured day-by-day layout. Neither fully solves Context Collapse or Generic Defaulting on its own. Both still need specific, constraint-first prompts.<\/p>\n<\/div>\n\n<div class=\"ja-faq-item\">\n<h3>Why do AI itineraries always suggest the same attractions?<\/h3>\n<p>Because the model is trained on the most common version of a request, and top things to do in a given city has a narrow, well-documented answer set across the internet. Asking for specific categories, like a 2-mile walkable route or a low-crowd viewpoint, forces the model away from that default list.<\/p>\n<\/div>\n\n<div class=\"ja-faq-item\">\n<h3>What&#8217;s the difference between an AI itinerary and an optimized one?<\/h3>\n<p>An AI itinerary lists attractions. An optimized one accounts for crowd timing, walking distance, budget per person, and booking realities like reservation windows. The difference is constraints. An AI itinerary assumes the average traveler, an optimized one is built around the actual trip.<\/p>\n<\/div>\n\n<div class=\"ja-cta\">\n<div class=\"ja-cta-title\">Try Journo Insider \u2014 keep the gifts no matter what<\/div>\n<div class=\"ja-cta-body\">14 days free. Over $6,640 in travel resources including The Syndicate course, the Exclusives Library, and the Supercharged Travel Fund Challenge. Cancel and keep everything \u2014 no questions asked.<\/div>\n<a href=\"https:\/\/www.journotravelhub.com\/mifge\" class=\"ja-btn\">Say &#8220;maybe&#8221; and claim your gifts \u2192<\/a>\n<span class=\"ja-cta-note\">Free for 14 days. Cancel anytime \u2014 gifts are yours to keep.<\/span>\n<\/div>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Why does my AI-generated itinerary feel generic?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"It feels generic because the AI defaults to the most statistically common answer when your prompt doesn't specify constraints like budget, dates, or group needs. This is Generic Defaulting, the first of the 3 Failure Modes of AI Travel Advice. Adding specific constraints up front is the direct fix.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Can AI plan a full multi-day trip accurately?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"AI can draft a workable structure for a multi-day trip, but accuracy drops on time-sensitive details like opening hours, visa rules, and transfer times. Treat the AI output as a first draft, then verify anything date-specific before booking. This is the Confidence Without Verification failure mode in practice.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Why does ChatGPT forget my budget halfway through a planning conversation?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"This is Context Collapse. The model gradually loses weight on constraints mentioned early in a long conversation and leans on general travel patterns instead. Restating your budget and dates every few messages, or starting a fresh chat with constraints up front, both reduce this drift.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What's the fastest way to improve an AI travel itinerary?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"State your dates, per-person budget, group size, and any physical limits in your very first message instead of after the AI has already responded. This single change resolves most of the generic-itinerary problem because the model has no gap left to fill with an average answer.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Should I trust AI-recommended restaurants and opening hours?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Not without a quick check. Ask the AI directly to flag anything it isn't certain is current, then verify time-sensitive details like hours and reservation requirements through the restaurant or venue's own page before building a day around them.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Is Perplexity better than ChatGPT for itinerary planning?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Perplexity tends to surface live, sourced web results, which helps with current pricing and hours, while ChatGPT often produces a more structured day-by-day layout. Neither fully solves Context Collapse or Generic Defaulting on its own \u2014 both still need specific, constraint-first prompts.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"Why do AI itineraries always suggest the same attractions?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"Because the model is trained on the most common version of a request, and top things to do in a given city has a narrow, well-documented answer set across the internet. Asking for specific categories, like a 2-mile walkable route or a low-crowd viewpoint, forces the model away from that default list.\"\n      }\n    },\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What's the difference between an AI itinerary and an optimized one?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"An AI itinerary lists attractions. An optimized one accounts for crowd timing, walking distance, budget per person, and booking realities like reservation windows. The difference is constraints. An AI itinerary assumes the average traveler, an optimized one is built around the actual trip.\"\n      }\n    }\n  ]\n}\n<\/script>\n\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"<p>The itinerary looks complete. It just doesn&#8217;t fit the trip you&#8217;re actually taking. Two travelers ask the same AI tool to plan four days in Lisbon. Both get a polished list: castle, viewpoint, tram, fish restaurant, repeat with minor variation. Neither itinerary mentions that the castle line wraps around the block by 10am, that the [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":17714,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[14761],"tags":[14850,14835,14778,14851,14853,14852],"class_list":["post-17717","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-travel-optimization","tag-ai-travel-itinerary-problems","tag-ai-travel-planning","tag-ai-travel-tools","tag-chatgpt-trip-planning","tag-generic-ai-itinerary","tag-travel-prompting-tips"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI Travel Itinerary Problems: 3 Fixes That Work<\/title>\n<meta name=\"description\" content=\"AI travel itinerary problems start with generic defaults, not bad luck. These 3 prompting fixes turn a flat AI plan into one built around your actual trip\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI Travel Itinerary Problems: 3 Fixes That Work\" \/>\n<meta property=\"og:description\" content=\"AI travel itinerary problems start with generic defaults, not bad luck. These 3 prompting fixes turn a flat AI plan into one built around your actual trip\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/\" \/>\n<meta property=\"og:site_name\" content=\"Journo Travel Journal\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/JournoHQ\/\" \/>\n<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/JournoHQ\/\" \/>\n<meta property=\"article:published_time\" content=\"2026-06-20T17:13:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-06-20T17:13:56+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2026\/06\/ai-travel-itinerary-problems-journo-scaled.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"634\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Dane Homenick\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@danehomenick\" \/>\n<meta name=\"twitter:site\" content=\"@journohq\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Dane Homenick\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"12 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/ai-travel-itinerary-problems\\\/\",\"url\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/ai-travel-itinerary-problems\\\/\",\"name\":\"AI Travel Itinerary Problems: 3 Fixes That Work\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/ai-travel-itinerary-problems\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/ai-travel-itinerary-problems\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/ai-travel-itinerary-problems-journo-scaled.png\",\"datePublished\":\"2026-06-20T17:13:53+00:00\",\"dateModified\":\"2026-06-20T17:13:56+00:00\",\"description\":\"AI travel itinerary problems start with generic defaults, not bad luck. These 3 prompting fixes turn a flat AI plan into one built around your actual trip\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.journohq.com\\\/blog\\\/ai-travel-itinerary-problems\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/ai-travel-itinerary-problems\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/ai-travel-itinerary-problems-journo-scaled.png\",\"contentUrl\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/06\\\/ai-travel-itinerary-problems-journo-scaled.png\",\"width\":1200,\"height\":634,\"caption\":\"Traveler comparing a generic AI-generated itinerary on a phone screen against a handwritten travel plan at a cafe table\"},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/\",\"name\":\"Journo Travel Journal\",\"description\":\"Travel More, For Less,  &amp; Share It In A More Beautiful Way\",\"publisher\":{\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/#organization\",\"name\":\"Journo Travel Journal\",\"url\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/logo1.png\",\"contentUrl\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/logo1.png\",\"width\":484,\"height\":95,\"caption\":\"Journo Travel Journal\"},\"image\":{\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/JournoHQ\\\/\",\"https:\\\/\\\/x.com\\\/journohq\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.journohq.com\\\/blog\\\/#\\\/schema\\\/person\\\/d1486e120db18ac12a8ad856d7f1bbb8\",\"name\":\"Dane Homenick\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/442c1e18b8c50ee122d3d535c1fc7a4da1d124402fff0c8a5ee7a411dc87e9af?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/442c1e18b8c50ee122d3d535c1fc7a4da1d124402fff0c8a5ee7a411dc87e9af?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/442c1e18b8c50ee122d3d535c1fc7a4da1d124402fff0c8a5ee7a411dc87e9af?s=96&d=mm&r=g\",\"caption\":\"Dane Homenick\"},\"description\":\"Founder and Chief Coffee Getter of Journo Travel Co., this dude wants nothing more than to explore the world with his fam by his side and to help others do the same in their lives. Oh, and maybe put back a few beers with new and old friends here and there :)\",\"sameAs\":[\"https:\\\/\\\/www.journohq.com\",\"https:\\\/\\\/www.facebook.com\\\/JournoHQ\\\/\",\"https:\\\/\\\/x.com\\\/danehomenick\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"AI Travel Itinerary Problems: 3 Fixes That Work","description":"AI travel itinerary problems start with generic defaults, not bad luck. These 3 prompting fixes turn a flat AI plan into one built around your actual trip","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/","og_locale":"en_US","og_type":"article","og_title":"AI Travel Itinerary Problems: 3 Fixes That Work","og_description":"AI travel itinerary problems start with generic defaults, not bad luck. These 3 prompting fixes turn a flat AI plan into one built around your actual trip","og_url":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/","og_site_name":"Journo Travel Journal","article_publisher":"https:\/\/www.facebook.com\/JournoHQ\/","article_author":"https:\/\/www.facebook.com\/JournoHQ\/","article_published_time":"2026-06-20T17:13:53+00:00","article_modified_time":"2026-06-20T17:13:56+00:00","og_image":[{"width":1200,"height":634,"url":"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2026\/06\/ai-travel-itinerary-problems-journo-scaled.png","type":"image\/png"}],"author":"Dane Homenick","twitter_card":"summary_large_image","twitter_creator":"@danehomenick","twitter_site":"@journohq","twitter_misc":{"Written by":"Dane Homenick","Est. reading time":"12 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/","url":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/","name":"AI Travel Itinerary Problems: 3 Fixes That Work","isPartOf":{"@id":"https:\/\/www.journohq.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/#primaryimage"},"image":{"@id":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/#primaryimage"},"thumbnailUrl":"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2026\/06\/ai-travel-itinerary-problems-journo-scaled.png","datePublished":"2026-06-20T17:13:53+00:00","dateModified":"2026-06-20T17:13:56+00:00","description":"AI travel itinerary problems start with generic defaults, not bad luck. These 3 prompting fixes turn a flat AI plan into one built around your actual trip","inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.journohq.com\/blog\/ai-travel-itinerary-problems\/#primaryimage","url":"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2026\/06\/ai-travel-itinerary-problems-journo-scaled.png","contentUrl":"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2026\/06\/ai-travel-itinerary-problems-journo-scaled.png","width":1200,"height":634,"caption":"Traveler comparing a generic AI-generated itinerary on a phone screen against a handwritten travel plan at a cafe table"},{"@type":"WebSite","@id":"https:\/\/www.journohq.com\/blog\/#website","url":"https:\/\/www.journohq.com\/blog\/","name":"Journo Travel Journal","description":"Travel More, For Less,  &amp; Share It In A More Beautiful Way","publisher":{"@id":"https:\/\/www.journohq.com\/blog\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.journohq.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.journohq.com\/blog\/#organization","name":"Journo Travel Journal","url":"https:\/\/www.journohq.com\/blog\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.journohq.com\/blog\/#\/schema\/logo\/image\/","url":"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2025\/09\/logo1.png","contentUrl":"https:\/\/www.journohq.com\/blog\/wp-content\/uploads\/2025\/09\/logo1.png","width":484,"height":95,"caption":"Journo Travel Journal"},"image":{"@id":"https:\/\/www.journohq.com\/blog\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/JournoHQ\/","https:\/\/x.com\/journohq"]},{"@type":"Person","@id":"https:\/\/www.journohq.com\/blog\/#\/schema\/person\/d1486e120db18ac12a8ad856d7f1bbb8","name":"Dane Homenick","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/442c1e18b8c50ee122d3d535c1fc7a4da1d124402fff0c8a5ee7a411dc87e9af?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/442c1e18b8c50ee122d3d535c1fc7a4da1d124402fff0c8a5ee7a411dc87e9af?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/442c1e18b8c50ee122d3d535c1fc7a4da1d124402fff0c8a5ee7a411dc87e9af?s=96&d=mm&r=g","caption":"Dane Homenick"},"description":"Founder and Chief Coffee Getter of Journo Travel Co., this dude wants nothing more than to explore the world with his fam by his side and to help others do the same in their lives. Oh, and maybe put back a few beers with new and old friends here and there :)","sameAs":["https:\/\/www.journohq.com","https:\/\/www.facebook.com\/JournoHQ\/","https:\/\/x.com\/danehomenick"]}]}},"_links":{"self":[{"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/posts\/17717","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/comments?post=17717"}],"version-history":[{"count":1,"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/posts\/17717\/revisions"}],"predecessor-version":[{"id":17718,"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/posts\/17717\/revisions\/17718"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/media\/17714"}],"wp:attachment":[{"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/media?parent=17717"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/categories?post=17717"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.journohq.com\/blog\/wp-json\/wp\/v2\/tags?post=17717"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}