Members-Only
Recent Talks & Demos are for members only
You must be an AI Tinkerers active member to view these talks and demos.
LLM Ecomm Sales Reconciliation
Live demo shows an LLM agent analyzing Shopify and Stripe data to trace fees, refunds, chargebacks, and reconcile sales without spreadsheets.
Every Shopify store owner has faced this mystery: “I sold $6,400, but only $3,900 showed up in my bank account. What happened and Why?” Well, it is because of Stripe fees, customer returns, chargebacks, withholding..etc. We can spend hours to use spreadsheet and complicated formula to match numbers and figure out the difference (the current way) or there must be a better way!
In this demo, I’ll show how we’re building an AI agent that can actually reason through transaction data, trace the money trail, and explain where every dollar went—like a forensic accountant, it’s faster and no spreasheet.
I’ll show the model live digging into real reconciliation logic, identifying discrepancies, and even suggesting follow-up actions. I have only 1 slide to visualize the problem, and then just raw code, live execution and logs to demo whether an (confused) AI agent can really be an accountant.