Product & data case study
GiftPot
A live consumer product used as a practical laboratory for AI-assisted execution, structured data and payment operations.
Visit the live product ↗Product in practice
A real consumer flow, not a portfolio mock-up.
GiftPot is live and consumer-facing. The screens below show the product proposition, the simplified group-gifting flow and the guided pot-creation experience.
01 · Why it matters here
Product building as evidence of ownership, not a career change.
GiftPot is included in this portfolio because building and operating a live product has strengthened how I think about data, ambiguity, controls, edge cases and the relationship between a commercial decision and the systems that have to support it.
I use AI-assisted development to extend my technical capability while remaining responsible for the product logic, testing, production behaviour and decisions about what should happen when something does not reconcile cleanly.
02 · Data & payments
Working with production data makes abstract technical concepts concrete.
The product uses relational data alongside payment workflows. That has required practical work with tables, structured queries, transaction states, reconciliation logic and production troubleshooting.
My SQL positioning is intentionally pragmatic: I work with SQL-based relational systems and use AI-assisted querying where useful to answer product questions, diagnose issues and validate outputs. I do not position myself as a database engineer or advanced SQL specialist.
03 · What it demonstrates
Breaking product and payment problems into states, dependencies and validation checks.
Working directly with relational production data rather than relying only on pre-built reports.
Using AI to extend implementation capability while retaining judgement and ownership.
Testing, debugging and operating a live product where edge cases have real consequences.