Just published a new case study: UI Trax, an AI customer agent for online stores. 🚀

Most store chatbots either follow rigid scripts or make things up. I built one that does neither.

What it does: • Answers from real store data (products, sizes, stock, prices) through tool calls, never from guesses • Tracks orders only after verifying the customer's phone number • Runs a guard on every reply that blocks invented links, discounts, policies and promises • Hands off to a human with a one-line AI summary, then goes quiet when staff join • Works on web chat and WhatsApp, in English and Roman Urdu

Built with Python and Gemini, and tested against 1,500+ conversation scenarios.

Full breakdown with screenshots is in my portfolio. Open to projects building AI support agents for e-commerce, clinics, real estate and service businesses.

Check it out

Great work on the case study!

I was handed an AI agent platform that confused its own clients in a live presentation. In V2, five plain-language questions replace prompt writing, so a non-technical user has a working agent in under two minutes; Aria gives every new user a conversation from the first message; and public bots share nothing until the user chooses. 12 modules redesigned end to end with zero dropped use cases. Full case study: https://zobia-khalid-malik-portfolio.framer.website/easyagent

Love how approachable this feels.