LLM content pipeline that does not produce slop by Vivek GuptaLLM content pipeline that does not produce slop by Vivek Gupta
LLM content pipeline that does not produce slopVivek Gupta
Cover image for LLM content pipeline that does not produce slop
Every team's first AI feature is one big prompt, and it plateaus in the same place - fluent output that could belong to anyone, and no way to tell a bad generation from a good one before a human reads it.
The fix is not a bigger prompt. It is taking work away from the model: give it a proven structure, real evidence, and a gate on the way out.
What you get
A template library so output follows a structure that already works, instead of inventing one
Grounding against your real data, so copy traces back to something true and stops being generic
An automated critic pass that scores and rejects weak output before it reaches a person
Cost telemetry per request, so you know what you are spending before the bill arrives
Deployed, documented, and handed over
On a live ad platform this took generation from usually needs a rewrite to production-usable, and cut per-image cost roughly in half.
Turnaround: 3 weeks for an MVP on one content type.
Starting at$4,500
Duration3 weeks
Tags
AI Developer
Service provided by
Vivek Gupta Bengaluru, India
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LLM content pipeline that does not produce slopVivek Gupta
Starting at$4,500
Duration3 weeks
Tags
AI Developer
Cover image for LLM content pipeline that does not produce slop
Every team's first AI feature is one big prompt, and it plateaus in the same place - fluent output that could belong to anyone, and no way to tell a bad generation from a good one before a human reads it.
The fix is not a bigger prompt. It is taking work away from the model: give it a proven structure, real evidence, and a gate on the way out.
What you get
A template library so output follows a structure that already works, instead of inventing one
Grounding against your real data, so copy traces back to something true and stops being generic
An automated critic pass that scores and rejects weak output before it reaches a person
Cost telemetry per request, so you know what you are spending before the bill arrives
Deployed, documented, and handed over
On a live ad platform this took generation from usually needs a rewrite to production-usable, and cut per-image cost roughly in half.
Turnaround: 3 weeks for an MVP on one content type.
$4,500