Based on McDonald’s China MCP Skill / AI Smart Body Skills Development: Hand over the “menu x coupons x superimposed rules” to the certainty algorithm. Let every barley be clear and clear. > Acquaintance: Maiman Money Actuary / McDonald’s Money Food Helper / MCD Saver Strategist.

McDonald’s programmer creatively developed a contest for non-Madlon official products.

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Project introduction

** The user says, “I want to eat the Big Mac package, how cheap is it?” It pulls out the doormen and all the coupons available. Algorithms are used to list the lowest total price of compliance and to order you. **

Example: Magnificent + medium fries + Coke, straight to ** 47.00; ** ** 21.90**, Province ** ** 25.10 (53%)**.

It’s not only the cheapest, but it also answers four derived questions:

Questions Questions Questions Capacity Questions | - | | | This meal I want to save money / eat all / low cards / small queues ** multi-target optimization ** :4 snacks, the same constraints for different optimal solutions What’s the real deal? ** Check-up**: nominal face vs real savings vs opportunity costs What’s the big deal? Single proposal: minimum cost offset, net change (possibly negative) Where is the border? Pareto Front: Price x Undisposable decomposition of calorie What about a family? ** Multi-person list**: per capita in number of copies, only once (conservative)

** Online test (no need for login)**:
Optimizing algorithms with a full reset of the front end, choosing what to eat, switching targets, dragging budgets and heat caps, and calculating the best combination in real time; There’s a check-up and a front-line map of Paretto on the page.

🔎 Static examples: [(T0]] . • Rationale: [T1]. :: Promotion of animations: [T2]

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What does it solve

McDonald’s preference is a typical ** group explosion** problem:

• Dozens of menus, a few dozen coupons, and various superimposed rules;
• The use of vouchers also takes into account "the cost or not of the additional purchase for the full reduction " ;
• Users are lazy and large models** can easily be miscalculated** (prices, discounts, superscripts are unreliable).

The core insight for Ben Skill is: ** to MCP, arithmetic to code, expression to Agent. **

Roles, duties, responsibilities, responsibilities. | - | | | | McDonald’s MCP | Real time menu, prices, coupons, nutrition, door stores, tabs | [T3] | Determination combination optimization, output of the lowest Top-N scheme WorkBuddy Agent understands needs, normalizes data, explains programs, confirms the bottom line

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