Digital Twin AI Bot (Ghostwriter Fidelity + Factual Accuracy) by Marvin Diaz Jr.Digital Twin AI Bot (Ghostwriter Fidelity + Factual Accuracy) by Marvin Diaz Jr.

Digital Twin AI Bot (Ghostwriter Fidelity + Factual Accuracy)

Pro

Marvin Diaz Jr.

Starting at

5,000

About this service

Summary

Proven and field-tested, my custom AI digital twins authentically replicate your voice, reasoning, and intent, producing outputs so seamless they’re indistinguishable from human-authored content. These models require only access to your existing material, which can include multi-modal content such as Zoom recordings, transcripts, images, slideshows, blog posts, podcasts, or even YouTube videos—structure is not a concern. While I can work with loosely organized content, more structured input can accelerate the process and fine-tune the results even further.

By leveraging my intent schema methodology, these models don’t just capture what you say, but why you say it, ensuring they reflect your deeper purpose and strategic priorities. They are audience-aware and contextually adaptive—capable of tailoring content not just laterally to different industries or demographics, but vertically across skill levels and expertise. Whether simplifying complex concepts for a beginner audience or diving deeply into technical jargon for seasoned professionals, these models maintain consistency, accuracy, and alignment with your core message.

FAQs

How much content do I need to provide for the model to work effectively?
The more content you can provide, the better the model can replicate your voice and reasoning. However, even a small volume of multi-modal content—like a few blog posts, a handful of emails, or some recorded Zoom calls—can serve as a solid foundation.
What’s the timeline to get a functional result?
A prototype is typically ready in days, with a fully calibrated model delivered in weeks. The additional time is spent refining the model collaboratively to reflect your voice and intent with precision while field-testing against edge cases and exceptions.
What if the model creates something I wouldn’t say or write?
The collaborative fine-tuning process ensures the AI stays grounded to your priorities and parameters. If something feels "off," we can recalibrate the model to eliminate those discrepancies. Additionally, the intent modeling framework guards against this by focusing on “why” you communicate, rather than surface-level mimicry.
What safeguards are in place to prevent unwanted biases or AI "hallucinations"?
The model relies on your pre-existing content as its foundation, which ensures it stays aligned with your voice and knowledge. Additional material, like industry regulations, case studies, and more, is layered onto this foundation for accuracy. Bias mitigation techniques and thorough quality control are applied to ensure factual integrity in all outputs.

What's included

Custom Trained AI Model
Holistically emulates the following key components with shared context between: - Voice/Style/Brand - Logic/Behavior - Factual Accuracy - Collaborative-Training Ready

Duration

3 weeks

Skills and tools

AI Content Creator

AI Chatbot Developer

AI Model Developer

Airtable

Docker

Replit

Zoom

Industries

Artificial Intelligence

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