the chat widget trap scales up too. In retail AI I keep seeing PoCs built around a floating assistant - isolated, clean, impressive in a demo.
Then production needs context from inventory systems, pricing rules, order history. The widget was never built for any of that. The architecture conversation happened after the demo, not before.
Thank you so much for taking the time to read this article and for your input! I really appreciate it. 🙌
That’s a really good example.
The chat widget pattern often works well for a demo because it isolates the interaction nicely. But once the system needs real product context (as you mentioned in your retail example - inventory systems, pricing rules, order history), the limitations start to appear.
At that point the conversation usually shifts from “what can the model generate?” to “how does the system assemble context and integrate with the product?”
I’ve also seen cases where the chat interface was built with real product context from the beginning, so it became more than an isolated assistant. In those situations the architecture behind the interface made all the difference.
the chat widget trap scales up too. In retail AI I keep seeing PoCs built around a floating assistant - isolated, clean, impressive in a demo.
Then production needs context from inventory systems, pricing rules, order history. The widget was never built for any of that. The architecture conversation happened after the demo, not before.
Thank you so much for taking the time to read this article and for your input! I really appreciate it. 🙌
That’s a really good example.
The chat widget pattern often works well for a demo because it isolates the interaction nicely. But once the system needs real product context (as you mentioned in your retail example - inventory systems, pricing rules, order history), the limitations start to appear.
At that point the conversation usually shifts from “what can the model generate?” to “how does the system assemble context and integrate with the product?”
I’ve also seen cases where the chat interface was built with real product context from the beginning, so it became more than an isolated assistant. In those situations the architecture behind the interface made all the difference.
That shift in question is exactly where most projects stall.
The demo team asked the first question and the delivery team inherits the second one, and usually without the architecture to answer it.
Yes, exactly.