Claude Cowork complete demo with 7 use cases

Introduction to Claude Cowork

Overview of the Video

• Ronnie introduces a different type of video focused on feedback and demonstration rather than a tutorial.

• The video centers around Claude Cowork, which has recently launched and generated significant buzz among audiences and tech enthusiasts.

Purpose of the Video

• Ronnie aims to provide real feedback on Claude Cowork's capabilities, particularly in automation and startup creation.

• He notes that many influencers are discussing this tool across various social media platforms, indicating its popularity.

Current State of Claude Cowork

Availability and Access

• As of the recording, Claude Cowork is only available for Mac desktop users; Windows or web users cannot access it.

• The application is still in demo mode, with ongoing improvements expected from the developers.

Technical Environment

• The platform operates within a sandbox environment using Linux tools to execute commands via terminal or bash shell.

Use Cases Explored

Demonstrated Capabilities

• Ronnie outlines several use cases he will explore: desktop screenshot capture, text file creation, application launcher, LinkedIn messaging, Pinterest research, online chess gaming, and AWS S3 bucket curation.

Personal Evaluation

• He emphasizes that his evaluation is based on personal experience and may differ for others.

Initial Interaction with Claude Cowork

User Interface Experience

• Ronnie navigates through the app interface showing options for selecting folders or files for task execution.

First Command Attempt

• He attempts to take a screenshot of his desktop but encounters limitations due to the Linux VM not having display access.

• This failure highlights constraints within the sandbox environment as it struggles with certain functionalities claimed by content creators.

How to Build a Million-Dollar Automation Startup?

Exploring Use Cases for Automation

• The speaker discusses the first use case of building an automation startup, indicating that it failed in its initial attempt.

• The second use case involves creating a text file named "co-work.txt" with the content "hello from claude" and saving it on the desktop.

• The task of text file creation is successfully completed, showcasing the system's capability to perform file operations efficiently.

File Operations and System Interaction

• The automation tool operates within a Linux VM environment, utilizing various tools to interact with local files smoothly.

• It can handle large numbers of files (e.g., 10,000 or 5,000), demonstrating efficiency in executing commands related to file management.

• A test is conducted by creating 20 copies of the previously created text file; this operation is completed quickly, albeit cluttering the desktop.

Deleting Files and System Limitations

• The speaker attempts to delete all text files using terminal commands; successful deletion indicates effective command execution capabilities.

• While some tasks were successful (text file creation), others like desktop screenshot capture failed. This highlights varying levels of success across different functionalities.

Application Launching Capabilities

• Moving on to application launching, the speaker tries to open Sublime Text but notes limitations due to operating in a sandboxed environment without graphical interface access.

• Understanding these limitations is crucial for developing one's own automation solutions; awareness of underlying architecture aids in innovation.

LinkedIn Messaging Automation

• The next task involves automating LinkedIn messaging without seeking permission for each action. This approach aims for seamless execution of sequential tasks.

• A message draft is prepared and sent via LinkedIn; however, there are connectivity issues with required browser extensions impacting functionality.

• Successful operation requires prior setup steps such as installing necessary extensions and ensuring browser accessibility during execution.

Automation Limitations and Tasks

Overview of Automation Challenges

• The speaker discusses a limitation in automation tasks, noting that long-running tasks cannot be executed if they remain idle for too long (e.g., 15 minutes).

• Demonstrates the automation process on LinkedIn, showing how it can search for a colleague's profile automatically.

• Mentions an automatic messaging window that opens, indicating the system is attempting to send a message without user intervention.

Task Execution and Confirmation

• Highlights the need for explicit confirmation before proceeding with certain actions; otherwise, the task may not execute properly.

• Discusses restarting tasks due to previous failures or prompts requiring user permission.

Interaction with Social Media Platforms

• The speaker notes that while using an MCP tool, it appears to open another browser instance to perform tasks seamlessly.

• Points out limitations regarding permissions on social networking sites which require user consent before sending messages.

Performing Tasks on Pinterest

Initiating New Automation Tasks

• The speaker transitions from LinkedIn messaging to performing keyword searches on Pinterest and capturing screenshots.

• Specifies the task: searching for "Beautiful pool villa," taking screenshots of three villas, saving them as PNG files in a folder named 'pics,' and zipping this folder.

Observations During Task Execution

• Anticipates potential failure due to restrictions on local computer operations but wishes to see if navigation through Pinterest works correctly.

• Confirms that automation is functioning as expected by navigating through Pinterest pages based on the specified keyword.

Screenshot Capture Process

• Indicates successful capture of screenshots during automated navigation; however, there are concerns about whether these are actual files or placeholders.

• Notes that while standard automation tools like Selenium are being used under the hood, reasoning capabilities seem limited.

Final Thoughts on Automation Outcomes

Issues with File Creation

• Expresses uncertainty about whether captured images are saved correctly as PNG files or just placeholders.

• [] (No timestamp provided here.) Concludes with curiosity about whether any real zip file was created from the attempted screenshot captures.

How Does Clot Co-work Play Chess?

Initial Setup and Challenges

• The speaker discusses the need for an API to perform certain actions, indicating a technical limitation in their current setup.

• They plan to demonstrate how Clot Co-work can play chess by starting a new game on chess.com with a time limit of 10 minutes.

• The speaker expresses excitement about the demonstration, emphasizing the innovative aspect of using Clot Co-work for gaming.

Game Launch and Technical Issues

• The attempt to open chess.com is initially unsuccessful, but eventually succeeds, showcasing the capabilities of Clot Co-work.

• Upon opening a new game, it becomes apparent that no opponent has joined yet; the system indicates it knows strategies but requires user login.

• The speaker encounters a login requirement that was unexpected, leading them to pause and address this issue before proceeding.

Resuming Gameplay

• After logging in successfully, they return to chess.com to initiate gameplay against real players.

• A request is sent to start a game; however, there are indications that issues persist due to browser settings or extensions not being enabled.

Game Progression and Observations

• Once gameplay resumes, an opponent is found quickly; the system begins listing moves as it engages in the match.

• The speaker notes that while Clot Co-work can play chess effectively, its response time may be slower due to processing requirements for thinking through moves.

Final Thoughts on Performance

• The speaker highlights that this demonstration might be unique among content creators online and expresses hope for wider recognition of this capability.

• They suggest integrating reasoning engines could enhance performance further, allowing Clot Co-work to play more autonomously in future iterations.

• As gameplay continues towards the seven-minute mark, they observe improvements in decision-making speed from Clot Co-work during critical moments.

Chess Match Analysis and AWS Automation

Observations on the Chess Match

• The commentator expresses excitement about the ongoing chess match, particularly focusing on Claude's performance against its opponent.

• The opponent is seen contemplating their moves for an extended period, indicating a strategic approach to the game.

• There is frustration regarding the time taken by the opponent, highlighting a potential lack of urgency in decision-making.

• Claude makes a move that sacrifices a bishop, raising questions about its strategic choices and understanding of basic chess principles.

• The commentator notes that Claude's play seems blind or lacking reasoning, suggesting it may not fully grasp complex strategies.

Game Progression and Outcome

• Despite being down material, Claude continues to engage in the match; however, there are concerns about its ability to execute effective moves.

• The commentator reflects on whether Claude can last until five minutes into the game as an achievement despite potential losses.

• A disconnection occurs with the opponent, leading to an automatic win for Claude; this raises questions about reliability in online matches.

Transitioning to AWS Automation Tasks

• After summarizing the chess match outcomes, attention shifts towards testing cloud automation capabilities using AWS S3 buckets.

• Instructions are given to create an S3 bucket named "Claude Co Ronnie Jen 2026 Clwork Jan 17" with default settings without additional permissions required.

Execution of Cloud Task

• The process begins with accessing AWS console; initial delays are noted while waiting for it to open properly.

• It is mentioned that user credentials are stored in the browser for ease of access during automation tasks without needing manual input each time.

Bucket Creation Process

• Confirmation is received that Claude can see options related to creating an S3 bucket within AWS interface successfully.

• As it attempts to name and create the bucket, there’s acknowledgment of system slowness due to real-time feedback requirements during execution steps.

Final Steps and Limitations

• The automation script scrolls through options effectively and identifies buttons needed for completion of tasks like creating a bucket.

• While successful in creating a bucket, limitations are acknowledged regarding more complex tasks such as taking screenshots or saving files from browsers.

Testing Automation Capabilities

Overview of Testing Results

• The video concludes with a summary of the testing conducted, highlighting that desktop screenshot capture failed due to lack of direct connectivity from the sandbox environment to the desktop.

• Text file creation was successful as it utilized an MCP tool, indicating some functionalities are operational despite limitations in other areas.

• LinkedIn messaging works but requires additional permissions, making it less viable for automation purposes.

Specific Application Performance

• Pinterest's research and archiving capabilities failed, particularly in screenshot functionality; however, text-based research is expected to perform better.

• Online chess gaming performed impressively, suggesting potential for future tests with other games or coding challenges like those on LeetCode.

Evaluation and Future Improvements

• AWS S3 bucket creation was successful; overall performance rated at 7 out of 10 due to speed and reasoning improvements needed.

• Browser interactions were noted as problematic due to reliance on Chrome extensions which can disconnect over time. Suggestions for inbuilt solutions were proposed.

Potential Developments and User Feedback

• Future enhancements may include user-defined profiles for browser operations, allowing more streamlined automation processes.

• Current capabilities do not support building extensive automation agencies but show promise for improving productivity within certain limits.

Conclusion and Call to Action

• The speaker expresses confidence that advancements will be made by companies like Anthropic in the near future, enhancing automation tools significantly.

• Viewers are encouraged to provide feedback on their experiences with cloud co-work tools and share the video for broader engagement.