How to consistently produce slop that's also off-brand: Upload past writing to ChatGPT/Claude and ask to write in your "brand voice".

Then you keep making corrections over and over hoping you can eventually prompt your way into a brand voice.

It rarely works. We built the gentic.co/content MCP to take a different approach.

Instead of relying on prompt engineering and style similarities that are too basic to result in an on-brand voice, Gentic has an algo that learns directly from a brand’s best real, human-approved writing.

You upload past successful posts, articles, and documentation. The system filters that material down to the slop-free subset, discarding any generic output.

Then it takes that data and turns the resulting voice into an objective scorer.

When you need to write something new, the system generates several candidates and selects the closest stylometric match. After selecting the best match, it gates the draft with two independent judge families, plus anti-slop, near-copy, and factuality checks.

The central idea here is that on-brand is a score you can check instead of a vague opinion.

Instead of someone reading a draft and guessing if it sounds right, the result includes a scorecard and one of three final outcomes: auto_ship, needs_review, or needs_profile_rebuild.

If it cannot match your voice, it tells you to rebuild the profile rather than shipping average text.

To protect the system from model drift, generated copy can never train the profile. You only feed it actual human writing.

Build your writing profile at gentic.co/content by feeding your past writing as content samples (from the pre-AI era for actual human writing as it will reject obvious AI writing as a content sample)

Reply to this email or DM me on LinkedIn to let me know what you think!

Bora Celik
Founder, Gentic