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← Monday's Prompts

Automate Affiliate & Advocacy 🚀

Turn Monday's 3 prompts into production-ready code

January 27, 2026
25 min read
📈 Growth🐍 Python + TypeScript⚡ 0 → 5000 partners/day

The Problem

On Monday you tested the 3 prompts in ChatGPT. Awesome! You saw how identify → engage → measure works. But here's the thing: you can't ask your growth team to copy-paste 500 times per day. One person spending 3 hours running prompts manually? That's $90/day in labor costs. Multiply that across a growing network and you're looking at $27,000/year just on partner admin. Plus the tracking errors that lead to missed commissions and angry affiliates.

3+ hours
Per day running prompts manually
35% error
From manual tracking mistakes
Can't scale
Beyond 10-20 partners/day

See It Work

Watch the 3 prompts chain together automatically. This is what you'll build.

Watch It Work

See the AI automation in action

Live Demo • No Setup Required

The Code

Three levels: start simple, add reliability, then scale to production. Pick where you are.

Basic = Quick startProduction = Full featuresAdvanced = Custom + Scale

Simple API Calls

Good for: 0-100 partners/day | Setup time: 30 minutes

Simple API Calls
Good for: 0-100 partners/day | Setup time: 30 minutes
# Simple API Calls (0-100 partners/day)
import openai
import json
import os
from typing import Dict, List, Optional
from datetime import datetime

# Set your API key
openai.api_key = os.getenv('OPENAI_API_KEY')

def automate_partner_intake(partner_text: str) -> Dict:
    """Chain the 3 prompts: identify → engage → measure"""
    
    # Step 1: Identify and structure partner data
    identification_prompt = f"""Extract partner information from this signup text and format as JSON.
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When to Level Up

1

Simple API Calls

  • Sequential processing
  • Basic retry logic
  • Simple logging
  • No database needed
Level Up
2

Add Database & Retries

  • Database persistence
  • Exponential backoff retries
  • Structured logging
  • Basic analytics tracking
Level Up
3

Queue & Cache Layer

  • Redis queue for async processing
  • Result caching
  • Background workers
  • Advanced analytics
  • Connection pooling
Level Up
4

Multi-Agent System

  • Multiple worker nodes
  • Load balancing
  • Auto-scaling
  • Real-time monitoring
  • A/B testing prompts
  • Custom model fine-tuning

Growth-Specific Gotchas

Real challenges you'll hit (and how to fix them)

Duplicate Partner Detection

Use fuzzy matching on name + social handles. Check existing partners before processing.

Solution
# Fuzzy matching for duplicate detection
from fuzzywuzzy import fuzz
import asyncpg

async def check_duplicate_partner(
    pool: asyncpg.Pool,
    name: str,
    email: str,
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Commission Structure Validation

Auto-validate against industry standards. Flag outliers for human review.

Solution
# Commission validation rules
def validate_commission_request(
    commission: float,
    period: str,
    partner_type: str,
    audience_size: int
) -> Dict[str, any]:
    """Validate commission request against industry norms"""
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Tracking Link Generation

Generate hierarchical codes: partner_platform_campaign. Store in Redis for fast lookup.

Solution
# Tracking link generation system
import hashlib
import redis.asyncio as redis
from urllib.parse import urlencode

class TrackingLinkGenerator:
    def __init__(self, redis_client: redis.Redis, base_url: str):
        self.redis = redis_client
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Multi-Currency Commission Handling

Store base currency, convert on payment using real-time rates. Track in partner's preferred currency.

Solution
# Multi-currency commission tracking
import requests
from decimal import Decimal
from typing import Dict

class CommissionManager:
    def __init__(self, base_currency: str = 'USD'):
        self.base_currency = base_currency
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Automated Performance Reporting

Schedule automated reports with charts. Email or Slack delivery. Include actionable insights.

Solution
# Automated partner performance reports
import asyncpg
from datetime import datetime, timedelta
import matplotlib.pyplot as plt
import io
import base64
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
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Adjust Your Numbers

500
105,000
5 min
1 min60 min
$50/hr
$15/hr$200/hr

❌ Manual Process

Time per item:5 min
Cost per item:$4.17
Daily volume:500 items
Daily:$2,083
Monthly:$45,833
Yearly:$550,000

✅ AI-Automated

Time per item:~2 sec
API cost:$0.02
Review (10%):$0.42
Daily:$218
Monthly:$4,803
Yearly:$57,640

You Save

0/day
90% cost reduction
Monthly Savings
$41,030
Yearly Savings
$492,360
💡 ROI payback: Typically 1-2 months for basic implementation
📈

Want This Running in Your Growth System?

We build custom partner management AI that handles intake, tracking, and reporting automatically. Built for growth teams managing 100+ partners.

©

2026 Randeep Bhatia. All Rights Reserved.

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