prompt

Intro

Setup: Claude API Platform

claude.ai prompt

Version 1 (Interactive Input)

import os
from dotenv import load_dotenv
import anthropic
 
# Environment Setup
load_dotenv()
 
client = anthropic.Anthropic(
    api_key=os.getenv("ANTHROPIC_API_KEY")
)
 
def ask_claude(prompt, model="claude-sonnet-4-6"):
    response = client.messages.create(
        model=model,
        max_tokens=300,
        messages=[
            {"role": "user", "content": prompt}
        ]
    )
    return response.content[0].text
 
 
# Get input from user (THIS WAS MISSING)
user_input = input("Enter context (e.g. airport food, low protein, 9pm): ")
 
prompt = f"""
You are a real-time health decision engine.
 
Context:
{user_input}
 
Return:
DO THIS:
WHY:
AVOID:
"""
 
result = ask_claude(prompt)
print("\n" + result)

• Run script and respond to input (e.g. “airport food, low protein, 9pm”)

python health_ai.py 

# REAL-TIME HEALTH DECISION

---

## ✅ DO THIS

**Hunt for eggs, nuts, or Greek yogurt first** — scan every terminal option (Starbucks protein boxes, Wolfgang Puck, even convenience stores). Grab the highest protein item available, even if imperfect. Target **20g+ protein minimum.**

---

## ⚡ WHY

- **9pm eating** = your metabolism is slowing, insulin sensitivity drops at night
- **Low protein now** = muscle breakdown overnight + poor sleep quality
- **Airport carbs alone** will spike blood sugar, crash hard, and disrupt sleep architecture
- Your body needs protein to produce **sleep hormones** (serotonin → melatonin pathway)
- You're likely already stressed/dehydrated from travel — compounding the problem

---

## ❌ AVOID

| Item | Reason |
|------|--------|
| Pizza/pasta | High glycemic, inflammatory, ruins sleep |
| Alcohol | Destroys REM sleep |
| Fast food burgers | Trans fats + excess sodium = inflammation |
| Energy drinks | Caffeine at 9pm = 4am awakening |
| Oversized portions | Digestion competes with sleep |

---

**Bottom line:** Protein + water now.

Version 2 (CLI args)

• Create health.py file

import os
import sys
from dotenv import load_dotenv
import anthropic
 
load_dotenv()
 
client = anthropic.Anthropic(
    api_key=os.getenv("ANTHROPIC_API_KEY")
)
 
def ask_claude(prompt, model="claude-sonnet-4-6"):
    response = client.messages.create(
        model=model,
        max_tokens=300,
        messages=[
            {"role": "user", "content": prompt}
        ]
    )
    return response.content[0].text
 
 
# 🔥 ONE-LINE INPUT HERE
if len(sys.argv) < 2:
    print("Usage: python3 test.py \"your input here\"")
    sys.exit(1)
 
user_input = sys.argv[1]
 
prompt = f"""
You are a real-time health decision engine.
 
Context:
{user_input}
 
Return:
DO THIS:
WHY:
AVOID:
"""
 
result = ask_claude(prompt)
print("\n" + result)

**DO THIS:**
Grab nuts, string cheese, hard-boiled eggs, or a Greek yogurt from a newsstand/café. Add a banana or apple. Drink a full bottle of water now.

**WHY:**
Late eating + low protein = blood sugar spike then crash, poor sleep quality, and muscle breakdown overnight. Your body needs amino acids to repair during sleep. Airport options are carb-heavy by default, which amplifies the problem at 9pm when insulin sensitivity drops.

**AVOID:**
- Pizza, pretzels, chips, or fast food burgers (high refined carbs + bad fats disrupt sleep cycles)
- Alcohol (dehydrates, fragments sleep architecture)
- Large portions of anything (digestion competes with sleep onset)
- Sugary "energy" drinks or juices (cortisol spike at night)
- Skipping eating entirely (hunger wakes you at 2am and tanks morning cognition)