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The Problem:
Manually cleaning tracking URLs and writing high-converting copy for hundreds of daily affiliate deals is slow and kills ROI.
The Solution:
I built an automated Deal Intelligence Pipeline. Powered by Python and FastAPI, this microservice ingests raw deals, sanitizes the URLs to prevent tracking conflicts, and triggers the Groq Llama 3 API.
The LLM extracts the product data and generates persuasive, strict-JSON copywriting in milliseconds. Finally, the system dynamically routes the clean URL through the correct affiliate network (like Amazon or Awin), delivering a ready-to-publish, revenue-generating link.
Tech Stack:
Python 3, FastAPI, Groq API (Llama 3), Data Sanitization, REST API.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Everyone loves to say AI makes creative work feel impersonal but I found the uses that actually save time without replacing my creative expertise.
Here's what's been working for me:
✍️ Copy and emails: I write the base, AI helps me polish and tighten it
🎨 Concept and moodboard copy: same approach, I write the core idea, AI helps shape the language for presentations
📦 Mockups: AI speeds up creation so I don't spend hours looking for the right .psd online
The key has been using it to speed up the boring parts so I can focus on the creative bits.
What's an AI use in your workflow that actually made things better, not just faster?
Starting with your own draft is close to how I use it on builds. I give AI the page and a short checklist, then use what it catches to tighten the work before I ship.
E-Commerce Intelligence & Predictive Analytics Platform
Developed a Wumpus World Knowledge Base Agent using React, implementing AI-based logical reasoning, BFS exploration, and resolution-based inference for safe navigation in a dynamic grid environment.
The system generates a configurable world with rows, columns, and number of pits, allowing users to customize difficulty and explore AI decision-making behavior in real time.
It intelligently uses percepts (breeze & stench) to build a knowledge base and determine safe paths while avoiding pits and the Wumpus using logical inference.
Live Demo: https://lnkd.in/dn9dvguP
GitHub: https://lnkd.in/dHWh85pc
