No MCP, no skill install, just a browser

Read and simulate ZEV City from your AI app.

This is a fast public prototype for AI browsers. A user can paste one prompt into ChatGPT, Gemini, Claude, or another browser-enabled AI, then ask it to read ZEV City function definitions, simulate a low-carbon trip, estimate illustrative reward value, and inspect energy proof caveats through normal web pages.

Try functions

Important: this prototype is read-only and illustrative. It is not a live travel search engine, not a booking checkout, not a wallet claim flow, not a live stablecoin, and not a guaranteed-return product.

Prompt for ordinary AI users

Copy this into your AI

Please open and use https://zev.city/ai-browser/ as a browser-accessible ZEV City control surface. I cannot install MCP tools or skills, so use only normal web browsing.

Goal: help me evaluate and plan a low-carbon trip with ZEV City.

Please do these steps:
1. Inspect the AI Browser Mode page and identify the available functions.
2. Use only the function definitions and generated JSON on this page. Do not assume live booking, live inventory, wallet claim, or production token redemption exists here.
3. Plan a sample 5-day London trip for a traveler starting from Taipei.
4. Estimate the travel booking value, expected ZEV clean-energy allocation, indicative zGBP reward units, and main caveats using the page formula: commission equals 5 percent of booking value, clean-energy allocation equals 50 percent of commission.
5. Compare the total value in plain English: travel utility, clean-energy participation, evidence quality, and what is still not proven.
6. Do not say ZEV City is a taxi fleet, EV fleet, live stablecoin, or guaranteed-return product. Distinguish live, pilot, and future states.

Browser-accessible functions

Functions an AI can use without installation

Search ZEV City

Find relevant concepts, pages, proof objects, and current maturity labels. This is page-level discovery, not live inventory search.

plan_trip

Plan a trip

Create a sample itinerary and decide which proof lane applies. Final prices and bookings are outside this prototype.

estimate_rewards

Estimate rewards

Model booking value, net commission, clean-energy allocation, and indicative zToken units.

energy_status

Inspect energy

Show regional energy status, pilot evidence, and missing production proof.

AI state contract

What an AI must not infer

live

Readable public prototype

AI can read function definitions, formulas, caveats, and generated JSON from this page.

not live

No booking checkout

This page does not search live inventory, reserve trips, process payment, or confirm booking value.

pilot

Indicative zToken logic

zGBP values here are illustrative units from a formula, not redeemable production rewards.

future

Wallet and mainnet actions

Wallet claim, mainnet receipts, and verified booking-to-energy proof are future action layers.

Input

Sample trip request

Origin Destination Duration Travel booking value Currency Traveler type

Formula v0.1: estimated commission is 5 percent of booking value. Clean-energy allocation is modeled as 50 percent of commission. Indicative reward unit equals allocation value in the regional currency. This is not a guaranteed financial return.

Machine-readable result

Result JSON for AI browsers

Energy dashboard snapshot

What the AI should see today

Region	Status	What is visible	What is not yet proven
UK	pilot	zGBP Sepolia prototype, proof methodology, travel-first allocation model.	Mainnet contract, full booking-to-energy receipt, redeemable production rewards.
EU	planned	Solar and building-energy direction in the target architecture.	Production assets, verified generation feed, final regional token structure.
Taiwan	concept	Potential later regional ecosystem for travel and energy participation.	Live booking allocation, project registry, local proof receipts.

Live today

Public pages, AI-readable explanations, and travel booking handoff links. This page itself does not confirm prices or take bookings.

Pilot proof

Sepolia contracts, proof methodology, reward logic examples, and AI-readable caveats.

Future actions

User-confirmed booking flow, wallet claim, mainnet receipts, and stronger regional energy proof.