Worth a read if you're building AI support for e-commerce.
UI Trax gets the hard parts right: answers grounded in real store data, order lookups only after verification, a guard on every reply, and a clean handoff to humans with an AI summary.
Reliable AI agents come from architecture, not just prompts. This case study shows it.
#AIAgents #Ecommerce #CustomerSupport #AI
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The verification step before an order lookup caught my attention. For patient intake, I would similarly verify identity before retrieving records and limit the handoff summary to what staff need. I would also flag uncertainty rather than presenting an unverified summary as fact.
New here, so I'm slowly filling in my portfolio and getting to know the place. So far I like it.
Here's an extract from Software Intelligence, a Framer site I designed and built a few months ago for an enterprise data consulting startup.
The visual idea mirrors what they do with data: compact blocks that animate, break apart and recompose, like charts taking shape. Few effects, all consistent, everything managed through the CMS.
If you have a minute, take a look at the full case study.
I'd love to know what you think, especially whether the motion supports the content or ends up overpowering it.
You're very welcome, Francesco — glad the note landed. The motion in that extract really does the heavy lifting for the content, so keep sharing your work here. Looking forward to seeing what's next from you. ✌️
Switch between 3D and a flat 2D plan, zoom in, show only the cottages. Green means free, orange means reserved. Some plots hold two homes, so they split into A and B, each with its own size and plot.
One map instead of a price list PDF. Buyers get it in seconds.
This is so much better than a price list PDF. I build PlotToBuild, a sales tool for real estate firms selling plots in Nigeria, and the free / reserved / sold status is exactly what buyers ask about first. Splitting plots into A and B is a smart touch.