What is AI Coaching Actually? (Better than ChatGPT)

Introduction

Artificial intelligence (AI) often sparks curiosity and questions regarding its true nature and applications. In this article, we will delve into artificial intelligence, its different types, and how it is embodied in our flagship product, Evolve AI—a unique app designed to enhance powerlifting training and general strength-building endeavors. We will specifically focus on expert systems, the framework that propels Evolve AI's training process.

Understanding Artificial Intelligence

The term "artificial intelligence" emerged in 1956, signifying the science and engineering of assembling intelligent machines. Nowadays, people typically conjure images of robotic overlords or iconic characters from mainstream media, like the quirky robots from the Star Wars franchise or the ominous Hal from 2001: A Space Odyssey. However, the reality of AI is considerably more mundane, existing mainly within two of the four distinct levels of AI: reactive machines and limited memory machines.

Reactive machines are the simplest form of AI, relying on predefined responses to specific stimuli. Limited memory machines, on the other hand, have an enhanced capability; they can learn from past data and continuously improve their performance. A prime example is Tesla's self-driving technology, which refines its algorithms based on data accumulated from deployed vehicles.

Evolve AI shares characteristics with limited memory machines, utilizing past information to enhance future recommendations. Current AI technologies are primarily confined to these first two categories, despite the potential for future advancements.

Expert Systems: The Backbone of Evolve AI

Within the realm of AI, expert systems represent a dedicated class designed to replicate the decision-making abilities of human experts in specific domains. An expert system comprises three core elements: a database, an inference engine, and a user interface.

Database: This includes all possible coaching decisions a trainer might make, such as exercise prescriptions, intensity adjustments, and macro cycle distributions.
Inference Engine: This component processes coaching knowledge, enabling the system to solve complex training challenges based on a foundational understanding of established training principles.
User Interface: The interface allows users to input real-time biometric data, training feedback, subjective ratings like perceived exertion, sleep quality, motivation levels, and soreness metrics, which all contribute to the adaptive training process.

By intertwining these elements, Evolve AI crafts personalized training programs informed by scientific principles and contemporary coaching strategies. The app's patented process reflects a commitment to transparency and control, avoiding the opaque "black box" nature of traditional machine learning models.

While machine learning utilizes neural networks trained on databases to derive outcomes, Evolve AI adopts a "white box" approach. This means each training input and output is closely monitored, ensuring the user has insight into every factor influencing their training journey.

Garrett Blevin's innovative methodologies lay the groundwork for Evolve AI, codifying coaching principles into a robust expert system that evolves with user engagement. This empowers users with choice while still providing a tailored training experience that adapts to their physical needs.

Conclusion

In summary, Evolve AI encompasses an expert system composed of a growing database of coaching decisions, an inference engine grounded in scientific principles, and a user-friendly mobile app interface. Together, these elements facilitate an enriching, individualized training program designed to help users reach their specific goals while remaining attuned to their ongoing requirements.

Keywords

Artificial Intelligence
Evolve AI
Expert Systems
Reactive Machines
Limited Memory Machines
Database
Inference Engine
User Interface
Machine Learning
White Box Approach

FAQ

What is Evolve AI?
Evolve AI is an app designed to enhance powerlifting and strength training using an expert system framework that mimics the decision-making of human coaches.

What are expert systems?
Expert systems are AI applications that replicate human expert decision-making in specific domains, comprising a database, inference engine, and user interface.

How does Evolve AI differ from machine learning systems?
Evolve AI utilizes an expert system approach, emphasizing transparency and human involvement, in contrast to machine learning, which often relies on less interpretable neural networks.

Why is the white box approach preferred in Evolve AI?
The white box approach allows for clear monitoring of all inputs and outputs in the training process, ensuring that users can understand the interactions and influences involved in their training.

What kind of data can users input into Evolve AI?
Users can enter various biometric data, including perceived exertion, sleep quality, motivation levels, and soreness metrics, to inform and adjust their training program.