01 · Measure
Find the real bottleneck
We started with the 30-minute manual task and defined the output quality the new workflow had to match.

Measured result
40%
conversion lift after the new workflow
30 min
old product-copy turnaround
30 sec
new AI-assisted turnaround
Production
full-stack product, not a prototype
The brief
Product teams were losing half an hour every time they prepared copy for one item. At catalog scale, that delay slowed launches and made consistent brand language hard to maintain.
The product needed more than a prompt box. It needed controlled inputs, brand-aware generation, reliable outputs, account workflows, usage visibility, and a production backend that could support real customers.
Delivery timeline
01 · Measure
We started with the 30-minute manual task and defined the output quality the new workflow had to match.
02 · Prototype
We made the core input-to-copy flow clickable early, so the team could judge useful outputs before the full build.
03 · Engineer
Accounts, data, usage controls, APIs, and failure states turned the AI capability into a usable product.
04 · Improve
The shipped workflow cut turnaround to 30 seconds and contributed to a measured 40% conversion lift.
The outcome
The team could create product copy in seconds instead of batching hours of manual work.
Brand and input controls made the output usable inside a repeatable catalog workflow.
The product connected an AI model to the accounts, data, and controls needed in production.
This case study maps directly to our AI automation service. We can use the same delivery system for your product without copying the product itself.
Client note
“They handled our whole stack under heavy load and shipped faster than anyone I've worked with. If you need an MVP built right and fast, this is your team.”
Harsh Gupta
Founder, KrutAI