Human-AI Collaboration: How Agents and People Work Together

Human-AI Collaboration: How Agents and People Work Together

💡 What You Will Learn

Human-AI Collaboration: How Agents and People Work Together

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def analyze_customer_intent(message):
    """AI"""
    analysis = {
        "intent": "refund inquiry",
        "sentiment": "(score:0.85)",
        "urgency": "——''",
        "suggested_action": "",
        "risk_flag": ">5000"
    }
    return analysis

# 
def human_review_ticket(customer_msg):
    analysis = analyze_customer_intent(customer_msg)
    print(f"AI: {json.dumps(analysis, indent=2, ensure_ascii=False)}")
    print("[1]+ [2] [3]")
    return input(": ")

import pandas as pd

def ai_batch_process(invoices_csv_path):
    """AIAuto/Automatic1000"""
    df = pd.read_csv(invoices_csv_path)
    df['amount_normalized'] = df['amount'].apply(normalize_amount)
    df['tax_calculated'] = df['amount_normalized'] * 0.13
    df['category'] = df['description'].apply(ai_classify_category)
    # <5%
    anomalies = df[df['amount_normalized'] > 100000]
    return df, anomalies

def human_audit(anomalies_df):
    """Human Review"""
    print(f": {len(anomalies_df)}")
    for _, row in anomalies_df.iterrows():
        print(f"#{row['invoice_id']}: ¥{row['amount_normalized']:,.2f}")
        if input("?(y/n): ").lower() != 'y':
            flag_for_review(row['invoice_id'])

# 8h -> L23215

def ai_generate_api_endpoint(spec):
    """AIGenerateCompleteAPI"""
    code = '''
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel

app = FastAPI()

class OrderRequest(BaseModel):
    user_id: int
    items: list[str]
    total: float

@app.post("/api/orders")
async def create_order(order: OrderRequest):
    if order.total <= 0:
        raise HTTPException(400, "")
    order_id = save_to_database(order)
    return {"order_id": order_id, "status": "created"}
'''
    print("AI")
    print(code)
    if input("Deployment(y/n): ").lower() == 'y':
        deploy_code(code)

# AIGenerate20s + 30s = 50s30min36