HLTH-150 • Nutrition for Sports & Exercise / Nutrición para el Deporte y el Ejercicio

0-4: The EXW AI Simulation Workspace & Delimiter Protocol / El Espacio de Simulación de IA y Protocolo Delimitador

In Plain English: Reading Navigation Guide

Before you read the details below, here is the short version: In this course, AI is the clinical calculator (The Engine) and you are the human decision-maker (The Pilot / Architect). This page shows how to fence client data inside triple-hash (###) delimiters, catch AI safety mistakes in your Clinical Audit (Part 2), and write your 150-word human Active Verification (Part 3). Review the 10 / 10 Active Verification Exemplars at the bottom of this page whenever you write a lab.

THE TRIPLE-HASH DELIMITER RULE

LA REGLA DEL DELIMITADOR DE TRIPLE ALMOHADILLA

English: To isolate diet profiles and prevent structural data drift, all students are required to wrap food logs, client intake metrics, or calorie parameters inside structural triple-hash delimiters (###) when working inside the AI Sandbox.

Español (Regional): Para aislar los perfiles de dieta y evitar la desviación estructural de los datos, todos los estudiantes deben envolver los registros de alimentos, las métricas de admisión de clientes o los parámetros calóricos dentro de delimitadores estructurales de triple almohadilla (###Al trabajar en el Entorno Virtual de IA.

UNIVERSAL FRAMEWORK ARCHITECTURE

ARQUITECTURA DE MARCO UNIVERSAL

English: While these prompts and nutritional case models are demonstrated using Exercise Science data, the Clinical Framing Protocol (Pattern / Rule / Solve) logic is universal. These analytical roles can be adapted for any educational or professional setting—from nursing and allied health to law, engineering, and business—simply by swapping the uploaded Single Source of Truth (SSoT) document and enclosing domain-specific parameters within triple-hash delimiters (###).

Aunque estas instrucciones y modelos de casos nutricionales se basan en datos de Ciencias del Ejercicio, la lógica del Protocolo de Encuadre Clínico (Patrón / Regla / Solución) es universal. Estos roles analíticos se pueden adaptar a cualquier entorno académico o profesional (desde enfermería y ciencias de la salud hasta derecho, ingeniería y negocios) simplemente cambiando el documento de Fuente Única de Verdad (SSoT) cargado y delimitando los parámetros con (###).

• Pattern / Patrón: Isolate dietary logs or client profiles / Aísle los registros dietéticos o los perfiles de clientes.
• Rule / Regla: Anchor to verified SSoT standards (U.S. Dietary Guidelines) / Ancle a estándares SSoT verificados (Pautas Alimentarias de EE. UU.).
• Solve / Resolver: Audit calculations and provide evidence-based interventions / Audite los cálculos y proporcione intervenciones basadas en evidencia.

Step 1: Part 1 (The Engine Prompt) — What You Submit to the AI Sandbox with Delimiters / Parte 1 (El Motor):

###
CLIENT_DIET_PROFILE:
Key Point: Name: Mateo (Yuma, AZ)
Key Point: Age: 22 (Collegiate Cross-Country Runner)
Key Point: Total Intake: 2,800 kcal/day
Key Point: Saturated Fat Intake: 375 kcal/day
Key Point: Sodium Intake: 3,200 mg/day
###

Step 2: The AI's Output (With a Hidden Mistake!) / El Resultado de la IA (¡Con un Error Oculto!):

"Mateo's energy intake is excellent for his activity levels. His sodium intake of 3,200 mg/day is safe because runners lose sodium through sweat. His saturated fat intake represents roughly 13% of his daily calories, which is well within the healthy baseline limits for active adults."

Step 3: Part 2 (Clinical Audit) & Part 3 (Active Verification — 150+ Words):

• Part 2 — Your 150-Word Minimum Clinical Audit (SSoT Critique of the AI's Error): CLINICAL AUDIT (156 words): The AI Sandbox failed the clinical safety and volume check for Elena (age 67, Yuma, AZ). Following Pattern / Rule / Solve, the Pattern is an older adult with controlled Type 2 Diabetes and mild knee osteoarthritis currently walking 30 minutes, 3 days per week at Ray Smucker Park (90 minutes/week total). The AI falsely claimed that 90 minutes per week meets federal guidelines. Under the Rule from our Academic Source of Truth—the 2018 Physical Activity Guidelines for Americans (PAGA, 2nd Edition, Chapters 5 & 6)—older adults and adults with chronic conditions require 150 to 300 minutes per week of moderate-intensity aerobic activity (3.0 to 5.9 METs) plus multicomponent strength and balance training. Elena has a 60-minute weekly aerobic deficit (150 - 90 = 60 minutes). My audit rejects the AI's passive maintenance advice and flags the need for low-impact, joint-friendly modalities to close that 60-minute gap safely.
• Part 3 — Your 150-Word Minimum Active Verification (Written Entirely in Your Own Human Voice): ACTIVE VERIFICATION (158 words): "In my own words, as Elena's human coach here in Yuma, I cannot let an AI chatbot shortchange her blood-sugar management or put her osteoarthritic knees at risk on hot pavement. While her current 90 minutes of morning walking at Ray Smucker Park is a great foundation, stopping at 90 minutes leaves her 60 minutes short of the PAGA 2018 150-minute minimum threshold that drives real insulin sensitivity for Type 2 Diabetes. At the same time, simply telling a 67-year-old with knee osteoarthritis to walk longer on concrete in Yuma heat will flare up her joint pain. My human Solve keeps her three 30-minute early-morning park walks at a conversational Talk Test pace, and adds two 30-minute indoor water-aerobics or recumbent-bike sessions at the air-conditioned community center, plus twice-weekly chair sit-to-stands and tandem-stance balance work so she hits 150 minutes pain-free."
• Español (Regional — Parte 2 Auditoría Clínica y Parte 3 Verificación Activa de 150+ Palabras): AUDITORÍA Y DEFENSA HUMANA: El simulador de IA falló la verificación clínica. Según la Fuente Única de Verdad (PAGA 2018, 2.ª ed., Capítulos 5 y 6), los adultos mayores con diabetes tipo 2 requieren de 150 a 300 minutos semanales de actividad aeróbica moderada más fuerza y equilibrio. Elena solo acumula 90 minutos (3 × 30 min), por lo que presenta un déficit aeróbico de 60 minutos por semana (150 − 90 = 60). En mis propias palabras (Parte 3: Verificación Activa), como su entrenador humano en Yuma no puedo aceptar que la IA la deje debajo de la meta que controla su glucosa ni mandarla a caminar más horas sobre concreto caliente con osteoartritis de rodilla. Mi Solución conserva sus tres caminatas matutinas en el Parque Ray Smucker y suma dos sesiones de 30 minutos de caminata acuática o bicicleta fija bajo techo con aire acondicionado, además de ejercicios de fuerza en silla y equilibrio dos días por semana.

UDL & ACCESSIBILITY / ACCESIBILIDAD Y UDL

English: All AI toolkit protocols and delimiter guidelines in HLTH-150 follow Universal Design for Learning (UDL) principles. This page uses a text-first, mobile-responsive layout designed for 100% compatibility with screen readers, assistive technologies, and AI note-taking tools (e.g., Genio).

Todos los protocolos dEl Espacio de Simulación de IA y las pautas de delimitadores en HLTH-150 se basan en los principios del Diseño Universal para el Aprendizaje (UDL). Esta página utiliza un diseño centrado en texto y adaptado a dispositivos móviles, compatible al 100% con lectores de pantalla y sistemas de toma de notas con IA.