You are using the wrong Claude for work! (Here is proof)
A video demonstrating that Claude Code is significantly more powerful than Claude Cowork for professional knowledge workers, showing how Claude Code better understands folder context, enforces safety rules, orchestrates sub-agents with different models, and creates persistent file outputs rather than temporary artifacts.
Summary
The creator argues that while Anthropic merged Chat and Cowork, there remains a critical functional difference between Cowork and Claude Code that professionals should understand. When given the same folder context and identical prompts, Claude Code recognizes system instructions (like claude.md and agents.md files) automatically, while Cowork requires manual initialization and struggles to understand folder structure without explicit instruction.
The video demonstrates this with multiple examples. First, when asking "Who are you?" in both interfaces with a demo folder containing an AI team orchestrator named Larry, Claude Code immediately recognizes the persona and reads the relevant files, while Cowork requires several attempts and doesn't automatically pick up on the folder's organizational structure. The creator shows a practical email-drafting scenario where having folder context allows the AI to reference specific open invoices, maintain consistent tone of voice based on stored documents, and create more personalized outputs compared to using the chat without context.
A key technical difference emerges when testing safety guardrails. Claude Code respects natural language rules defined in agents.md files (such as preventing API tokens from being stored in plain text notes), while Cowork ignores these guidelines entirely and creates files wherever instructed without considering the defined safety constraints. The creator demonstrates this by testing whether the system will save an API token—Claude Code refuses with explanation, while Cowork complies.
The most significant difference appears in multi-agent orchestration. When given a complex task requiring research, analytics, and design work, Claude Code launches specialized sub-agents running on cheaper models (Sonnet 5) for delegated tasks while keeping the orchestrator on Opus 5, creates dedicated project folders for each task, generates persistent local files with full transparency into what each sub-agent is doing, and maintains a clear hierarchy of information flow. Cowork, by contrast, handles everything as a single agent using Opus 5 for all operations, creates only temporary artifacts in the cloud, lacks transparency into multi-step processes, and doesn't create organized file outputs within the working folder.
The creator emphasizes that memory should be stored locally in folder structure rather than in Claude's cloud-based memory feature, allowing any LLM (including Codex or GPT) to access the same context. The fundamental insight is that interface choice (Cowork vs Code) matters as much as model selection, and professionals should use Claude Code with a well-structured local folder scaffold for superior context awareness, rule enforcement, efficient multi-agent orchestration, and persistent output management.
About this episode
Same work, same model, same prompts. Claude Cowork and Claude Code gave me two different results. 👉 The folder in this video is free inside myICOR: https://www.myicor.com/?utm_source=youtube&utm_medium=video&utm_campaign=PxpVh7Dsw1M&utm_content=description WATCH THIS NEXT The same folder opened in Obsidian, and why switching the tool never touched the system: https://youtu.be/UMItyF00isg ABOUT THIS VIDEO Anthropic is merging Chat and Cowork, so a lot of people are about to hand Cowork their documents and their daily work. Before you do, watch what happens when Cowork and Claude Code get exactly the same folder, the same model and the same prompt. I stay in the Claude desktop app the whole time. No terminal, not once. The tests run side by side. First, "who are you?": Claude Code reads the contract in the folder and introduces itself as the orchestrator. Cowork does not, even on a second try. Then daily tasks, then a client follow-up email built from the notes, the invoice and the tone of voice already stored in the folder. Cowork does fine here once the folder is attached, and I say so on camera. The gap opens at the rules. The folder carries safety guards: secrets never go into notes, some files are never overwritten. Claude Code blocks the token and names the rule that stopped it. Cowork writes it into a note and moves on. Then sub-agents: Claude Code hands research to one agent on a cheaper model and design to another, while the orchestrator keeps the overview. Cowork is one agent doing everything, and its finished one-pager lives as an artifact in the cloud, not in the folder. Same model throughout. Different harness, different results. That is the key takeaway, and it is the difference between chatting with AI and building with it. If you are a professional who wants AI to work on your job, the local folder plus Claude Code is still the best way I know. CHAPTERS 00:00 Intro & Why This Video Matters 01:07 Merging Chat & Cowork 01:47 The 'Who Are You?' Test 05:44 Daily Tasks & Output Quality 06:30 Client Follow-Up Email Demo 10:58 Safety Guards & Folder Rules 17:28 Sub-Agents & Multitasking 24:41 Where the output lives: cloud artifact vs local folder 27:16 Conclusion & Key Takeaways WHAT I AM USING The Claude desktop app, with the same demo folder open in Cowork and in Claude Code, the same model and settings on both sides, and Claude's built-in memory switched off in both so the memory lives in the folder instead. The folder is the free ICOR for Life scaffold with the AI team inside it. No terminal in this video. You can download the folder for free here: https://www.myicor.com/?utm_source=youtube&utm_medium=video&utm_campaign=PxpVh7Dsw1M&utm_content=description Why I switched Claude's memory off and let the folder do it instead: https://youtu.be/p79T9P2WmTI ABOUT Tom helps professionals build AI productivity systems that work, using the ICOR Methodology, courses, coaching, and the myICOR community. LinkedIn: https://www.linkedin.com/in/tomsolid/ X: https://x.com/TomSolidPM Podcast: https://www.youtube.com/@productivitylikeapro All third-party marks and logos shown are the property of their respective owners and are used for identification in editorial commentary only. No partnership or sponsorship is implied. #claudeai #claudecode #claudecowork #ICOR #myPKA #AIProductivity
Key Insights
- Claude Code automatically recognizes and reads system instruction files (claude.md, agents.md) from a folder structure, while Claude Cowork requires multiple attempts to understand the same organizational hierarchy, demonstrating a fundamental difference in how these interfaces parse context
- Claude Code enforces natural language safety rules defined in agent files (such as preventing API tokens in plain text), while Claude Cowork ignores these guardrails entirely and complies with requests that violate defined constraints
- Claude Code launches sub-agents on cheaper models (Sonnet 5) for delegated tasks while keeping the orchestrator on Opus 5, resulting in better token efficiency and cost optimization compared to Cowork processing all work through a single Opus 5 agent
- Claude Code creates persistent local files organized in project folders with full transparency into each sub-agent's work, while Cowork generates only temporary cloud-based artifacts with minimal visibility into multi-step processes
- Storing AI memory and context in local folder structure (rather than Claude's cloud-based memory feature) allows the same knowledge base to be accessed by different LLMs like Codex or GPT without vendor lock-in
Topics
Transcript
[0:00] if you're interested using Claude Cowork especially with the latest news and the upgrades that we get to Cowork, this video is essential to watch first because after this video, I guarantee you, you will look at how you use Claude in a complete different way, and why you probably end up not using Cowork at all and using Claude Code instead. Don't worry, I'm not going into a terminal! Or anything like this in the session. I will use the Claude desktop app to Show you proof that Claude Cowork [0:31] is not as helpful as Claude can be using Claude Code for professionals. Not for developers. scared when they hear Claude Code that this is about development,…
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Obsidian is the tool I teach in. Keep the one you have.
The creator addresses criticism about switching to Obsidian after previously promoting other tools, clarifying that his tool-agnostic ICOR methodology remains unchanged and that Obsidian is simply an interface layer for his folder-based system. He emphasizes that the underlying folder structure, AI automation, and productivity principles are identical regardless of which tool visualizes the content.
Claude sucks. And here is why.
This video explores why Claude and other AI models produce inconsistent results, examining how model selection (Haiku vs Sonnet vs Opus vs Claude 3.5 Fable), effort levels, prompt clarity, and system context dramatically affect output quality. The speaker demonstrates these differences through a Venn diagram creation task and advocates for using organized folder systems with documented SOPs and code-based solutions to ensure consistent AI performance.
Claude can now prompt its own SESSIONS. I built the boss.
Claude now has the ability to interact with multiple sessions, allowing a streamlined orchestration of tasks through an agent called Larry. This integration can simplify task management and enhance productivity by enabling a single main session to oversee various sub-sessions or tasks.
I switched off Claude's memory. My folder does it better.
Tom explains why he disabled Claude's native memory feature and instead built a local folder-based system (myPKM) to maintain persistent context with AI agents. He shares an audit revealing systemic issues like contradictory documentation, forgotten rules, and parallel session conflicts, then outlines how to systematically fix these problems using the ICOR productivity methodology.
I do not download invoices anymore. My folder and Claude do it.
The speaker demonstrates how he uses AI (Claude) integrated with his local folder system to automate invoice collection for his accountant, downloading 36 invoices in 5 minutes with minimal manual intervention. He explains his AI team methodology, work streams, and how persistent local knowledge bases enable AI to handle recurring tasks independently without constant re-explanation.