Beyond the ‘Brain’: Yonathan Cohen Details ChatGPT’s Full ‘Anatomy’ for Business Integration

In a recent LinkedIn post, Yonathan Cohen explores the underutilized capabilities of AI models like ChatGPT, arguing that most users only interact with a fraction of their potential. Cohen emphasizes that common usage focuses solely on the ‘brain’ of the AI, neglecting the crucial components that enable deeper integration and functionality within business workflows.

Cohen draws a compelling analogy, likening the AI to a full body rather than just a disembodied mind. He begins by highlighting the limited interaction most users have:

“People use 10% of what ChatGPT can do. They talk to the brain & never touch the body.”

This statement sets the stage for his detailed breakdown of the AI’s complete ‘anatomy,’ which he argues is essential for unlocking its true value in a corporate environment.

The ‘Brain’: Multiple Models for Varied Workloads

Cohen first dissects the ‘brain’ component, which he explains is not a monolithic entity but comprises several distinct models designed for different tasks. He outlines these as:

• Sol: Handles deep work, complex builds, and research, operating at a high reasoning level.
• Sol Pro: Tackles the most demanding and time-consuming workflows.
• Instant: Optimized for everyday tasks, prioritizing speed and efficiency.
• Terra & Luna: Designed for high-volume tasks via the API, focusing on speed and cost-effectiveness.

“One brain, four gears. You pick per task,” Cohen states, underscoring the importance of selecting the right model for the specific job at hand.

Expanding Interaction: Eyes, Hands, and Nervous System

Moving beyond the core processing unit, Cohen details how AI can interact with the external world and produce tangible outputs. His ‘eyes’ are described as ChatGPT Search and Agent Mode, which allow the AI to access the live web, read pages, and perform actions, thus staying current beyond its training data.

The ‘hands’ of the AI, according to Cohen, are its capabilities through Codex and Canvas, which generate usable outputs like working code, editable documents, and spreadsheets, often in minutes. This moves the AI from a drafting tool to a production tool.

Crucially, Cohen introduces the ‘nervous system’ as the Apps and Connectors that integrate the AI into a company’s existing tech stack. He explains:

“Connects into your real stack. Gmail, Drive, GitHub, Calendar, your database. Stops asking you to paste data. Starts pulling it directly.”

This integration is key to automating workflows and eliminating manual data transfer.

Strengthening Capabilities: Muscles, Memory, and Spine

Cohen further elaborates on the AI’s functional components by discussing ‘muscles,’ ‘memory,’ and ‘spine.’ The ‘muscles’ are defined as reusable ‘Skills’—actions that can be defined once and executed repeatedly without re-explanation, such as prepping for a call or cleaning a data list.

The ‘memory’ component allows the AI to retain context about the user’s work, including their sales style, tone, and specific background information, ensuring continuity across sessions. Finally, the ‘spine’ represents ‘Projects,’ the structural element that consolidates files, instructions, and context into a single, cohesive unit from which all other parts of the AI can draw information.

From Basic Interaction to Full Integration

Cohen concludes by reiterating his central thesis: that most users only engage with the foundational ‘brain’ of AI tools. His vision, and the focus of his work, is to ‘wire the whole body into companies,’ enabling a far more comprehensive and impactful application of AI technology.