My Personal “Digital Clone”: A Path to Reducing Operational Tasks and Accelerating Business Growth

Have you ever wondered what it would be like to have a “digital assistant” that thinks and communicates exactly like you? Over the past few weeks, I embarked on an experiment to create my own “digital twin”—a model trained on all my available data (emails, texts, photos, videos, notes) that can answer questions in the same way I likely would. The main motivation? Reducing operational tasks that consume a lot of my daily time, and optimizing my workflow so I can focus on more strategic aspects of my business progress.

How the Project Began

It started with a simple thought: since there are already numerous advanced language models (LLMs (https://en.wikipedia.org/wiki/Large_language_model)), why not use them to “clone” my thinking and writing style?

To experiment, I used the following:

• My own data: an archive of emails (since 2004!), personal notes, books I’ve written, social media posts, transcripts of my video content, and even photos (described in text).

• Various tests: IQ, EQ, and personality tests—all providing the model with insight into “what kind of person I am.”

• New-generation LLMs: It was easiest to start with ready-made solutions like GPT-3.5 (https://openai.com/blog/openai-api) or GPT-4 (https://openai.com/blog/gpt-4). There are also open-source models that can be fine-tuned (https://huggingface.co/docs/transformers/training) on personal data, such as Llama 2 (https://ai.facebook.com/blog/llama-2/), Falcon (https://falconllm.tii.ae/), or MPT (https://www.mosaicml.com/mpt).

Three Approaches to Creating a “Digital Clone”

1. Fine-tuning Existing Models

2. Working with Vector Databases

3. A Hybrid Variant

What I Discovered During the Experiment

1. Writing Style: In 95% of cases, the answers generated by the model closely resembled what I would have written myself. The way sentences were connected and the style of communication were surprisingly similar to my own.

2. Time Spent on “Operations”: The main goal—reducing operational tasks—is already showing results. My plan is for this digital clone to answer typical emails instead of me, draft social media posts in “my” style, or quickly summarize old documentation for easier reference.

3. Multimodality: Incorporating photos and videos required transcripts or descriptions, but it opened up numerous possibilities. Over time, increasingly more multimodal models are emerging, such as a CLIP (https://github.com/openai/CLIP) variant that can combine images and text.

4. Privacy and Security: Since I dealt with personal data and nearly two decades of email correspondence, it was crucial to ensure the storage location and method were secure. The solution was to use locally run open-source models and a local vector database, minimizing the risk of exposing sensitive information.

The Bigger Picture: Faster Business Advancement

Behind this “cloning” project lies a clear business rationale: I need to reduce time spent on simple tasks so I can devote myself to planning, developing new ideas, and focusing on strategic projects. The digital clone:

• Automates basic administrative responses.

• Saves time on repetitive communication tasks (briefs, short instructions, and reports).

• Maintains knowledge continuity about my older projects or documents, which I often have to search through repeatedly.

Ultimately, every hour not spent on “operations” can be redirected toward further business development and new initiatives.

Next Steps

1. Model Improvement: I plan to keep training (fine-tuning (https://huggingface.co/docs/transformers/training)) my own versions of open-source models, possibly Llama 2 (https://ai.facebook.com/blog/llama-2/), to further refine the quality of responses.

2. Everyday Integration: I’m developing an interface that I can use like a regular chat, where all my documents are connected through a vector database (https://en.wikipedia.org/wiki/Vector_database).

3. Security and Ethics: I will continue exploring how to maintain high privacy standards and set boundaries so the model does not generate or share confidential data without authorization.

Creating a personal digital clone using advanced language models is no longer science fiction—it’s becoming increasingly realistic and accessible. Although we can’t yet talk about a perfectly “cloned” personality (it’s tough to capture all nuances of human moods, nonverbal communication, and context), it’s already possible to reach a point where the model authentically mimics most of someone’s reasoning style.

My experience shows that with a bit of determination and technical experimentation, you can develop a personal assistant that:

• Recognize your priorities and thought process.

• Reduces the burden of routine tasks.

• Contributes to faster business growth by freeing up valuable time.

If you’re also looking for new ways to be more efficient while preserving a personal “touch” in your communication, this might be a worthwhile project for you. I’m continuing work on my digital clone, and I look forward to seeing how useful it can become in my day-to-day business life.

The end goal: spend less time on one-dimensional tasks and more on creativity, strategy, and further professional development.

Thank you for reading, and I welcome any comments or questions. If you’ve tried something similar, please let me know—sharing experiences is invaluable! email: krunoslav.ris@gmail.com WhatsApp: +385994449949