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 an illustrative Tanya session: a 14-day Japan trip for two adults on a AED 20,000 budget, departing from Dubai. The conversation and the planning steps are what Tanya actually does; the rates are not quoted, because quoting them would mean inventing them. 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 works out the routing first, because it constrains everything after it: DXB to HND direct for the outbound, returning from KIX (Kansai) once the Osaka leg is done, rather than doubling back to Tokyo. That single decision is what lets the 3+3 Kyoto/Osaka split at the end of the trip work at all.

Flights are a planning input here, not a booking. Stunning Club does not sell air tickets — flight booking is switched off in the product, so no fare is quoted in this walkthrough and no credits are earned on one. Tanya plans around the routing and you book the flight yourself.

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 for those dates, and calculates the SC Credits the stay would earn. Both are live figures in the session — which is why this walkthrough does not print them here.

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 the hotel bookings would earn. This walkthrough deliberately does not put figures on it, because that would mean inventing the rates the credits are calculated from — and an invented total is worth less than none.

The ladder itself is fixed and worth knowing: hotel bookings earn 30 SC Credits per AED 1,000 spent at the base tier, 1.25× or 1.5× that on the higher pass tiers, redeemable at 100 Credits to AED 1 against a future booking with no blackout dates. So a AED 10,000 trip earns credits worth AED 3 at base tier. Small, deliberately stated, and applied automatically.

Your own totals appear in the session with the live rates attached, which is the only place they can be accurate.

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.