Ivan  Magallan

Ivan Magallan

Monterrey, Mexico

Ivan Magallan

AI Script Humanization & RLHF Audit (Spanish/Engli
Most AI-generated scripts (ChatGPT/Claude) fail for two reasons: they sound artificial, and they contain logical hallucinations. If you paste raw AI output into your videos or blogs, your audience will leave in seconds.
You don't need a simple proofreader. You need a TECHNICAL AI AUDITOR.

WHO AM I?
I am a DATA ANNOTATION SPECIALIST (RLHF) and a published FICTION AUTHOR.
My daily job involves training the world's leading AI models to follow instructions and maintain logic. I know exactly where Large Language Models (LLMs) fail and how to surgically fix them.
MY "RLHF" METHOD:
Instead of just rewriting, I treat your script like a rigorous data training task:
[1] HALLUCINATION CHECK: I verify facts. If the AI invents a date or event, I catch it.
[2] LOOP REMOVAL: AI tends to repeat the same point 3 times. I cut the fluff.
[3] PATTERN BREAKING: I disrupt the predictive sentence structures that scream "Bot-generated."
[4] EMOTIONAL INJECTION: I add the subtext, irony, and cultural nuance that machines cannot replicate.

SERVICES OFFERED:
[1] YouTube Scripts (Faceless/Cashcow): High retention editing.
[2] Spanish Localization: Native, neutral Latam Spanish with cultural adaptation.
[3] English Editing: Structural correction and flow improvement.

WHY WORK WITH ME?
Direct Communication: I work as a partner in your production pipeline.
LET A HUMAN EXPERT ENGINEER YOUR SCRIPT.
Specialized in Reinforcement Learning from Human Feedback (RLHF). I evaluate and train Large Language Models (LLMs) specifically for complex reasoning, creative writing, and hallucination detection. My role involves strict fact-checking and rating AI outputs for safety, truthfulness, and instructional adherence.
Published fiction author specializing in high-retention storytelling. I apply narrative structures (hooks, pacing, cliffhangers) to digital formats to maximize reader engagement.
Core Competencies:
Reinforced Learning from Human Feedback (RLHF) methodologies.
Semantic Analysis & Hallucination Detection techniques.
Adversarial Safety Testing (Red Teaming).
Instruction Following & Constraints evaluation.
  • 🇬🇧 English
  • 🇪🇸 Spanish
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