How Tanya Plans a 14-Day Trip in One Conversation

Introduction

The standard objection to AI travel tools is that they are good at generating itineraries but cannot actually book anything. The second objection is that they confabulate — inventing hotel names, fabricating availability, and producing plans that collapse the moment you try to execute them.

Tanya is built to address both objections. It does not generate itineraries from training data — it checks live hotel availability and member rates, applies SC Credits to the booking, and produces a confirmed plan rather than a speculative one. What it cannot source in live inventory, it tells you rather than invents.

This article walks through a real Tanya session: a 14-day Japan trip for two adults, AED 20,000 all-in budget, departing from Dubai. We show every step Tanya takes — from the opening prompt to the completed itinerary with Credits earned.

The Opening Prompt

The member opens the Tanya chat and types a single prompt:

This is not a highly structured query. It has a city list, a budget, a travel month, and a hotel tier preference. Most OTA search engines cannot parse this input at all — they require destination, date, and guest count as separate fields. Tanya understands it as a planning brief and begins assembling the trip.

Tanya's first response acknowledges the parameters, confirms the budget allocation it will use (approximately AED 7,000–8,000 for flights, AED 11,000–12,000 for accommodation across 14 nights), and begins with the departure logistics before moving to the hotel selection.

Step 1: Flights

Tanya checks Emirates and Japan Airlines routes from DXB to TYO (Narita or Haneda) for mid-October. It identifies the optimal routing — DXB to HND direct on Emirates, return from KIX (Kansai, after the Osaka leg) to DXB — and surfaces the member fare range: AED 3,800–4,400 per person in economy, AED 7,600–8,800 for two.

The flight booking through Stunning Club earns SC Credits on the base fare. At AED 8,200 (mid-estimate for two passengers), that is 8,200 Credits at base tier — AED 82 in travel value applied to a future booking.

Step 2: Tokyo (4 Nights)

With flights allocated, Tanya moves to hotel selection. For Tokyo, it asks one clarifying question: Shinjuku/Shibuya energy or Marunouchi/Ginza quiet? The member says Shinjuku. Tanya surfaces three options at the requested mid-to-upper tier, with member rates, SC Credits earned per stay, and a one-line property rationale for each.

The member selects the Park Hyatt Tokyo. Tanya confirms availability for the specific dates, applies the member rate (AED 1,197 per night), and calculates SC Credits: 4,788 Credits on the 4-night stay (AED 47.88 in travel value at 100:1).

Step 3: Kyoto and Osaka (6 Nights)

Tanya suggests a 3+3 split: three nights in Kyoto, three in Osaka, with Shinkansen transfers between legs. The Shinkansen Kyoto–Tokyo segment is noted for the member to book separately (not within Stunning Club inventory), with an estimated cost of AED 180 per person each way.

With the Kyoto and Osaka hotels confirmed, Tanya produces the complete itinerary summary — a structured breakdown of dates, properties, costs, and SC Credits earned per leg — ready for the member to review before finalising bookings.

"Tanya does not produce a travel blog post. It produces a booking-ready itinerary: property names, member rates, availability confirmed, Credits calculated. The difference between inspiration and execution is what most AI travel tools miss."

Credits Earned Across the Trip

At the close of the session, Tanya summarises the SC Credits earned across all bookings made through the platform.

19,078 SC Credits at the 100:1 rate equals AED 190.78 in travel value — applicable to any future Stunning Club booking with no blackout dates and 12-month rolling validity. At Obsidian tier (2×), the same trip generates 38,156 Credits (AED 381.56) on identical spend.

The trip also lands within the AED 20,000 budget: AED 19,078 total, with AED 922 remaining for transfers, incidentals, or a better hotel upgrade on one leg.

Memory and Preferences

One session does not illustrate Tanya's full capability. The more significant feature is what happens across sessions. Tanya retains the preferences established in the Japan planning conversation — mid-to-upper hotels, Shinkansen-convenient locations, October travel window — and applies them automatically to the next planning conversation without the member needing to restate them.

A member who establishes preferences over several trips — preferred room types, airline alliances, destination styles, budget range — receives increasingly calibrated recommendations over time. The fifth Tanya conversation is meaningfully better than the first, because the context it carries is richer.

This preference accumulation is what separates an AI concierge from a sophisticated search engine. Search surfaces options. A concierge — human or AI — remembers what you liked last time and uses it to narrow the options this time.

What OTAs Cannot Do

The Japan session took under two minutes of active conversation. The output was a specific, bookable itinerary with live member rates — not a generic blog post with placeholder hotel names, not a spreadsheet of every four-star Tokyo property sorted by star rating.

OTAs are optimised for the transaction: enter destination, enter dates, select from filtered results, book. They are not designed for the planning conversation that precedes the transaction — the "where should I stay, how should I structure the trip, how do I balance the budget across cities" conversation that most travellers have alone, or with a human travel agent if they can access one.

Tanya handles the planning conversation natively and connects it directly to the booking. There is no transition from planning tool to booking tool — the same conversation that structures the trip also completes it, with SC Credits accumulating on every booking made through the session.

The easiest way to understand what Tanya does is to start a conversation. Tell it where you want to go, your budget, and your travel style. It will show you what it can do.