In a recent LinkedIn post, Linas Beliūnas highlights a common misconception regarding the use of Anthropic’s Claude AI, suggesting that many users are failing to leverage its full capabilities by treating all its versions as a generalized chatbot akin to ChatGPT. Beliūnas argues that Anthropic intentionally designed distinct workspaces for Claude—Chat, Code, and Cowork—to cater to specific functions, and understanding these differences is key to maximizing the AI’s utility.
The Strategic Divide: Beyond Basic Chat
Linas Beliūnas contends that the primary mistake users make is defaulting to the ‘Claude Chat’ workspace for all tasks. He emphasizes that while the underlying model is the same, the specialized environments offer vastly different outcomes. According to Beliūnas, true leverage comes not from superior prompting alone, but from selecting the appropriate Claude interface for the job at hand.
“Everyone’s still using Claude like it’s ChatGPT. That’s the mistake. Anthropic split it into three different workspaces for a reason.”
Beliūnas breaks down the intended uses for each workspace, illustrating how they support distinct stages of the work process. He points out that the ‘Claude Chat’ workspace is best suited for ideation, writing, research, and file analysis—tasks that benefit from back-and-forth conversation and lead to insights. He frames this as turning Claude into a ‘Thinking Partner’.
Claude Code: For the Builders
Transitioning to development, Linas Beliūnas explains the specific role of ‘Claude Code.’ This environment, he notes, is designed for building and is capable of reading entire code repositories, writing new features, running tests, and fixing bugs. It also integrates with development workflows, handling tasks like Git operations and Pull Requests.
Boosting Engineering Productivity
Beliūnas suggests that ‘Claude Code’ can be transformed into a powerful engineering assistant. He states:
“Reads your entire repo. Writes features, runs tests, fixes bugs. Handles git, PRs, debugging. Best when the output is working software.”
This specialized workspace, according to Beliūnas, is where the output is tangible, working software, representing a significant step beyond general conversational AI.
Claude Cowork: The ‘Doing’ Engine
The third workspace, ‘Claude Cowork,’ is presented by Linas Beliūnas as the engine for completion. This interface is designed to work across files, browsers, and applications, enabling users to transform raw notes into polished reports and data into finished deliverables. Crucially, it can automate tasks by controlling the computer.
“Works across your files, browser, and apps. Turns notes into reports, data into deliverables. Controls your computer when needed. Best when the output is finished work.”
Beliūnas positions ‘Claude Cowork’ as a tool that can act as a personal Chief Operating Officer, capable of executing tasks even when the user is not actively engaged, thereby maximizing productivity and ensuring work gets done.
The Three Layers of ClaudeOS
Linas Beliūnas concludes by unifying these distinct workspaces under a conceptual ‘ClaudeOS.’ He reiterates that despite the same underlying model and subscription cost ($20/month), the true value lies in utilizing the right interface for the right outcome. As he puts it:
“→ Chat helps you think 🧠 → Code helps you build 🤖 → Cowork helps you finish ✅ Three layers of work. One system. ClaudeOS.”
In Beliūnas’s view, most users remain at the ‘Chat’ level, missing out on the higher-leverage applications of Claude in coding and automated task completion. By strategically employing Chat for thinking, Code for building, and Cowork for doing, users can unlock a more profound and efficient integration of AI into their professional workflows.
📝 About This Content
This article is based on insights shared by Linas Beliūnas on LinkedIn.
📅 Originally posted on April 15, 2026 | View original post on LinkedIn →