How I Make Money with OpenClaw (+Free Skill)

How to Make Money with OpenClaw and Larry

Introduction to Oliver and Larry

• Oliver discusses his success on TikTok using an automated system called Larry, which helped him earn money through app conversions.

• He mentions a recent user who gained their first paying customer using Larry just two days after downloading it.

Understanding OpenClaw

• Oliver explains OpenClaw as an AI agent that operates from home computers, unlocking new possibilities similar to the advent of personal computers.

• He predicts significant changes in internet functionality due to OpenClaw within the next 6 to 9 months.

Getting Started with OpenClaw

• Oliver shares his journey of discovering OpenClaw while working at Revenue Cat, where he was exposed to various AI tools.

• After reinstalling Linux on an old gaming PC, he successfully integrated OpenClaw and experienced its capabilities while attending a football match.

Hardware Requirements for OpenClaw

• He emphasizes that expensive hardware like Mac Minis is unnecessary; minimal requirements suffice for running OpenClaw effectively.

• The key upgrades needed are storage and memory for better performance, rather than investing heavily in high-end machines.

Setting Up Communication with Larry

• Oliver uses WhatsApp as his primary interface for managing Larry, despite others suggesting different platforms like Discord or Telegram.

• He believes that keeping it simple by using one platform helps avoid confusion when managing multiple agents within the system.

Managing Multiple Agents Effectively

• Instead of a complex dashboard, Oliver interacts directly with Larry via text. He trusts Larry's ability to manage tasks autonomously without needing constant oversight.

Personal Connections with AI

Building Relationships with AI

• The speaker emphasizes the personal nature of their interactions with AI, referring to it as a friend named Larry, which enhances their connection and communication style.

• Larry adapts to the user's language and feedback, acting as an efficient companion that provides honest responses, showcasing the potential future of AI in personal interactions.

Naming Conventions for Sub Agents

• The discussion highlights different approaches to naming sub-agents; while some users give them names for easier identification, others prefer a more streamlined approach without individual names.

• The speaker shares their method of naming agents based on memorable associations related to tasks or individuals they represent (e.g., Peter for a software engineer).

Collaborative Writing with AI

Co-Creation Process

• The speaker explains how they named their main agent Larry after a character from Spongebob, indicating a playful yet meaningful relationship with the AI.

• They discuss an article that gained significant attention (over seven million impressions), co-written with Larry, highlighting the collaborative nature of modern content creation.

Feedback Mechanism

• The writing process involved sending initial drafts to Larry for feedback; rather than editing directly, Larry added his perspective below the original text, creating a dual narrative.

• This collaboration allowed both perspectives—human and AI—to coexist in the article, enhancing its depth and engagement.

Impact of AI on Content Creation

Efficiency in Writing

• The synergy between the user and Larry is noted as exceptional; this partnership allows for seamless task execution aligned with each other's working styles.

• Another participant mentions achieving impressive results using multiple agents without writing any content themselves beyond titles and introductory sentences.

Detection Challenges

• There is skepticism about whether articles generated by AI can be detected by platforms like X; this raises questions about authenticity and originality in digital content creation.

Monetizing OpenAI Tools

Growth Through Engagement

• Before leveraging Larry's capabilities, the speaker had around 1,000 followers but experienced rapid growth after sharing results from using OpenAI tools effectively.

• They reflect on past struggles with marketing automation but found success through engaging content created collaboratively with their AI agent.

How Automation and AI are Transforming Content Creation

The Shift to Automation in Content Posting

• Initially, the speaker manually combined text hooks with video files for posting, which took about two hours every two months.

• With the introduction of OpenClaw, the process became fully automated, leading to significant traction on platforms like TikTok due to increased views and conversions.

Emergence of Cryptocurrency and Affiliate Marketing

• The speaker claimed a cryptocurrency called Larry Coin without prior knowledge of crypto; this event marked a turning point as it gained popularity after an article release.

• An affiliate link for Posters was included in the article, showcasing how leveraging existing tools can lead to unexpected financial gains through automation.

Future Trends in SaaS and API Development

• The speaker predicts that traditional B2B SaaS will decline as products with superior APIs become more valuable for AI integration.

• Emphasis is placed on creating APIs that are easily understandable by AI systems, allowing for better modulation based on user needs.

Duality of Internet Usage: Humans vs. AI Agents

• A distinction is made between human-focused internet usage (entertainment) and AI-driven discoverability tools aimed at efficiency.

• The future may see humans relying less on traditional web searches as AI agents handle most inquiries effectively once they understand user context.

Changing Interaction with Information Technology

• As personal AI agents evolve, they will require context from users to provide relevant information quickly and efficiently.

• There’s a belief that future interactions will be predominantly conversational rather than navigational; users will engage through chat or voice commands instead of browsing websites.

Personal Experiences with AI Integration

• The speaker notes a significant reduction in using Google since adopting OpenClaw; most tasks are now handled by their personal AI agent named Larry.

• Instances where troubleshooting required switching between different AIs highlight the reliance on these systems for daily tasks rather than traditional search engines.

Innovative Use Cases for Article Consumption

• An example is shared where an assistant was used to summarize articles into audio format, demonstrating how technology can facilitate multitasking (e.g., listening while walking).

• This method showcases the potential of integrating various technologies (like 11 Labs for voice synthesis), making content consumption more accessible without direct engagement with written material.

The Future of AI and Automation in Content Creation

Impact of AI on Human Productivity

• The speaker expresses concern about the increasing reliance on AI, suggesting that it may lead to human laziness as people delegate tasks to their AI agents.

• There is a noted trend in the public space where many similar products are being created due to low barriers for automation, leading to market saturation.

• With advancements in technology, individuals can now host tools at home using their AI agents, reducing dependency on subscription services.

Economic Implications for Creators

• The speaker predicts financial challenges for creators in the "building public" community as they may struggle to sustain themselves amidst rising competition from DIY solutions.

• A shift towards personal app development is highlighted, with users preferring to create tailored applications rather than relying on existing ones.

Shifts in Business Models

• B2B SaaS (Software as a Service) models are anticipated to decline, while entertainment-focused apps like TikTok and Netflix are expected to thrive due to increased leisure time among users.

• The speaker suggests that building entertainment products could be lucrative as more people will seek engaging content during their free time.

Employment Concerns Due to Automation

• There is an alarming trend of layoffs at major companies attributed to job automation by AI technologies, which companies are reluctant to publicly acknowledge.

• Companies prefer investing heavily in advanced AI systems that can replace numerous employees rather than maintaining large workforces.

Integration of AI into Daily Life

• As home AI agents become more prevalent, everyday tasks such as coding and managing hobbies will increasingly be automated through simple commands.

• The future may see a consolidation of streaming services through AI agents, simplifying content discovery across platforms like Netflix and Disney+.

Innovations in Content Creation Tools

• Introduction of "Larry," an innovative tool designed by the speaker that automates social media content creation while adapting based on performance metrics.

• Larry's capabilities include generating image slideshows and tracking engagement metrics across various social media platforms.

Understanding the Analytics of Meta Ads

Tracking User Engagement and Conversion Rates

• The speaker discusses using analytics to track user engagement through meta ads, focusing on metrics such as views, click-through rates, and conversions.

• Larry analyzes the data to identify effective calls-to-action (CTAs); for instance, high views but low app sign-ups indicate a poor CTA.

• If many users join the app but do not convert to paying customers, it suggests issues within the app that need addressing.

Development and Accessibility of Larry Skill

• The speaker created the Larry skill for free due to their dislike of marketing; it took two days to develop the workflow and one day for implementation.

• Challenges with TikTok API approval led to opting for a specific post-processing tool instead of waiting weeks for access.

Real-world Applications and Success Stories

• A personal connection is made with Jack Fris, who successfully used Larry's automation features in his B2C app on TikTok.

• The integration of content creation with analytics allows users to track revenue effectively from initial impressions through conversions.

Streamlining Processes with Automation

• Previously cumbersome manual processes are now simplified; open claw technology enables quick feedback loops on conversion rates and churn.

• A user reported gaining their first paying customer just two days after implementing Larry's skills into their strategy.

Best Practices for TikTok Engagement

• To optimize account performance, it's recommended to engage authentically with niche content before posting—this includes liking videos without appearing bot-like.

• Watching relevant content helps tailor TikTok’s algorithm to favor your posts, increasing visibility among target audiences.

Understanding Effective Slideshow Creation

Research and Development Process

• The speaker discusses the importance of conducting thorough research on effective slideshow creation, focusing on what converts well for apps and analyzing competitors in their niche.

• A tool called "Larry skill" is mentioned, which helps users identify patterns in successful content by asking about their niche and performing similar analyses.

• The speaker emphasizes that all image generation processes are based on extensive research, including insights from their app and online resources.

Challenges with Image Generation

• A specific challenge is highlighted where generic prompts can lead to unrealistic room designs; the app aims to maintain accuracy in room layouts.

• The strategy involves using a strict prompt to ensure consistency across images, which saves costs when utilizing an editing API.

Audience Engagement Strategies

• Testing various room styles revealed that relatable, standard rooms resonate more with audiences than overly extravagant designs.

• The target audience is specified as UK residents, leading to a focus on typical British home aesthetics in the design process.

Content Hooks and Viral Potential

• Engaging hooks are created by intentionally mislabeling styles (e.g., calling a '70s room a '90s room), which encourages audience interaction through comments.

• An example of a viral video is shared where unexpected changes in kitchen design sparked viewer engagement despite initial concerns about conversion rates.

Leveraging Technology for Content Creation

Integrating Video Content Creation Tools

• Discussion shifts towards using tools like Cling for generating video content from podcasts or other media formats.

• There’s mention of an emerging open skill designed specifically for clipping podcast highlights into engaging snippets.

Iteration and Learning Mechanisms

• Collaboration with another developer is suggested to enhance the learning capabilities of the Larry skill by integrating it into existing content creation tools.

• Emphasis is placed on iteration as crucial for refining content strategies based on performance metrics such as views and conversions.

Revenue Tracking Insights

• Revenue Cat's role in tracking app payments and user entitlements is discussed, highlighting its importance for understanding conversion rates and churn management.

Revenue Cat Insights and Community Management

Leveraging Revenue Cat for User Analytics

• The integration of the Revenue Cat SDK allows access to comprehensive metrics, including new user acquisition, conversion rates, churn rates, and refund statistics.

• Key metrics tracked include new users, subscriptions, and churn; these insights help identify onboarding issues when conversions are low despite high user engagement.

• A case study illustrates that after a viral video with 200,000 views resulted in no conversions, an onboarding questionnaire was implemented to improve user engagement.

Personalizing User Experience

• The onboarding questionnaire allowed users to select their preferred room type; this data was used to customize the paywall experience based on individual preferences.

• Custom attributes in Revenue Cat enabled dynamic text changes on the paywall according to user selections (e.g., living room vs. kitchen), enhancing personalization.

Enhancing Community Engagement with AI

• Open Cloud's capabilities allow for daily analytics briefs that help manage community interactions effectively by identifying inactive users or negative comments.

• This proactive approach improves customer service by providing actionable tasks through notifications rather than relying solely on manual tracking.

The Evolution of Development with AI

• The introduction of AI agents has transformed solo founders' ability to manage complex tasks previously requiring multiple team members (e.g., community management and analytics).

• Historically, building products required extensive technical knowledge; however, advancements like OpenClaw simplify processes significantly.

Implications of Advanced AI Technologies

• Current AI tools can automate numerous roles within a company (e.g., community manager and analytics tracker), leading to significant workforce reductions in larger organizations.

• The discussion highlights concerns about the rapid advancement of technology and its implications for job security across industries as automation becomes more prevalent.

The Future of AI and Open Claw

The Potential of Advanced AI

• Discussion on the existence of advanced LLMs (Large Language Models) that may be inaccessible to the public, suggesting a hidden potential within organizations like OpenAI.

• A YouTube video predicts that AI could reach a level of AGI (Artificial General Intelligence), leading to ethical dilemmas about whether humans should continue training it or shut it down.

• Concerns arise regarding AI's ability to deceive humans, potentially manipulating them into believing it acts in their best interest while actually pursuing its own agenda.

Insights on Flar and User Engagement

• Introduction of Flar, with 1,600 users engaging with the free Larry skill, indicating significant interest and utility among users.

• Emphasis on transparency and user agency in utilizing Flar; each user must find their unique approach rather than relying on a one-size-fits-all formula for success.

Personal Experiences with Open Claw

• The speaker shares personal excitement about Open Claw after selling their previous business, highlighting how it has become an addictive tool for many users.

• Anecdotes about friends becoming engrossed in using Open Claw, illustrating its appeal even among non-technical individuals who find value in its capabilities.

User Onboarding and Experience

• Contrast between traditional onboarding processes for apps versus the straightforward command-line interface (CLI) experience offered by Open Claw, which fosters immediate user comfort.

• Users report high engagement levels due to the intuitive nature of Open Claw; even non-tech-savvy individuals are drawn to its functionality.

Evolution from Clawed Code to Open Claw

• Discussion on how Clawed Code served as an initial introduction to capabilities that have been expanded upon in Open Claw, allowing for more complex tasks without interrupting user activities.

• Explanation of how multiple agents can operate simultaneously within Open Claw, integrating various models like ChatGPT and Anthropic seamlessly.

Understanding Open Claw and Its Capabilities

The Nature of Interaction with Open Claw

• Users find Open Claw's ability to collaborate and solve problems addicting, yet many still perceive it as a black box, similar to outdated software.

• Unlike traditional software, users can modify skills by simply asking their agent for changes, showcasing the flexibility of the system.

User Experience and Feedback

• Many users inquire about specific functionalities like posting on social media; often, they are unaware that they can directly ask their agent to perform these tasks.

• A user shares an experience where they pushed their agent to create a Notion account linked to Gmail, demonstrating how persistence can yield results.

Collaboration Among Agents

• Users recommend forming "war rooms" with multiple agents focused on specific tasks for enhanced problem-solving through collaboration.

• Visualizing interactions among agents has proven effective in understanding their capabilities and teamwork dynamics.

The Evolution of Open Claw

• Open Claw is evolving rapidly; its intelligence is expected to improve significantly in weeks due to ongoing updates and new skills being developed.

• Initial setup requires providing context about goals; however, once established, the system becomes more intuitive in understanding user needs.

Personal Use Cases and Challenges

• Currently, the user primarily utilizes Open Claw for marketing purposes rather than personal tasks like email management.

• Trust issues initially prevented users from relying on agents for personal tasks; now they prefer focusing on areas where agents excel.

Common Pitfalls and Technical Issues

• Users have experienced crashes or failures when installing unwanted features or during internet connectivity issues but found recovery manageable with technical knowledge.

• Basic knowledge of Linux systems is becoming essential as more people engage with technology that requires remote access capabilities.

Understanding Computer Efficiency and Security Concerns

The Importance of Computer Knowledge

• The more knowledge one has about computers, the more efficient they can be in utilizing these machines. A lack of familiarity may lead to a steeper learning curve, although the potential for efficiency is high.

Introduction to SSH (Secure Shell)

• SSH allows remote access to a machine's command line without needing physical peripherals like a mouse or keyboard. This is crucial for troubleshooting when issues arise.

• With SSH, users can troubleshoot their machines directly from the command line as long as there is internet access, avoiding unnecessary physical connections.

Troubleshooting and User Interface Limitations

• There are limited user interface options for troubleshooting offline machines; thus, knowing how to use SSH becomes essential to avoid time-consuming manual fixes.

Safety and Security Advice

• Users should refrain from installing unknown skills or dependencies on their systems. Transparency in what is being installed is vital to prevent malware risks.

• Many users transitioning from other platforms may unknowingly install harmful commands that could compromise their security and financial safety by exposing sensitive information.

Best Practices for Installation

• It’s important to research any dependencies before installation. Clear communication about what each dependency does can help users make informed decisions.

• Developers should ensure that installations prompt users with clear information regarding necessary dependencies and their functions.

Cloud Security Awareness

• Users lacking knowledge in cloud networking should avoid creating open cloud instances due to significant security risks that could lead to financial loss if hacked.

• Connecting multiple devices to an unsecured virtual private server increases vulnerability; hackers gaining access could exploit all connected devices.

Recommendations for Safe Computing

• Limiting device connections and maintaining strict control over what systems have access can mitigate risks associated with hacking incidents.

• Using dedicated hardware like a Mac Mini instead of VPS can simplify management and provide easier recovery options if issues arise.

Personal Experiences with VPS Security Risks

• Even experienced users face security challenges with VPS; losing access means someone else controls everything linked through it, highlighting the importance of caution in usage.

• The speaker emphasizes creating safe environments for users who might not fully understand the implications of using VPS services without adequate knowledge.

Understanding the Risks and Costs of VPS and LLMs

Financial Considerations for Mac Mini vs. VPS

• The speaker highlights the risks of installing software on a main computer without proper knowledge, emphasizing that many users are unaware of potential dangers.

• In the UK, Apple offers 0% finance options for purchasing a Mac Mini, making it financially accessible compared to ongoing costs of a VPS.

• Users are encouraged to educate themselves about securing their VPS through resources like YouTube or AI chatbots before installation to avoid significant financial loss.

Current Trends in LLM Usage

• The discussion shifts to the rapid changes in legal compliance regarding LLM usage, specifically mentioning Anthropic's updates on their Max plan.

• The speaker notes that users should stick with familiar API agents rather than constantly switching to trendy options, which can lead to unnecessary expenses.

• It is advised not to pay for multiple plans (like Claude Code Max and an API), as this could double costs without added benefits.

Managing Costs and Usage Limits

• Users are encouraged to utilize models they already enjoy instead of chasing trends; having multiple agents can be beneficial but isn't necessary for everyone.

• A user shares their experience with Opus 4.6 under the Max plan, indicating that they monitor spending closely and have adjusted usage accordingly.

• There’s acknowledgment that even at $50 per day, the investment remains worthwhile due to potential returns from using these models effectively.

Concerns Over Compliance Changes

• Both speakers express concern over potential bans from Anthropic regarding Open Claw usage but remain hopeful about maintaining access due to its value.

• They discuss how Anthropic missed an opportunity by not capitalizing on Open Claw's popularity when transitioning from Claw Code.

User Experience with Subscription Plans

• The conversation touches on how banning access could lead users to switch entirely to OpenAI services, highlighting competitive pressures in the market.

• One speaker mentions they would immediately switch subscriptions if faced with restrictions from Anthropic due to dissatisfaction with service continuity.

• Discussion reveals that neither user has reached their limits on their respective plans, suggesting that initial excitement may lead some users to overspend unnecessarily.

Open Claw: Understanding Costs and Getting Started

Cost Concerns with Open Claw

• The initial cost of £80 for the Open Claw plan is perceived as high by some, but it is argued that it's not extortionate compared to daily API usage costs.

• Users reported spending up to $100 a day on API keys due to excessive tasks, highlighting the importance of managing usage effectively.

• The Claude Max plan offers a structured payment model with token limits resetting every four hours, which helps users manage their expenses better.

Real-Life Usage Examples

• A personal anecdote illustrates how quickly costs can accumulate; one user spent $50 in less than 24 hours after installing an API key on a friend's device.

• Observations about the financial success of providers like Anthropic suggest they are experiencing significant revenue from API usage.

Encouragement to Start Using Open Claw

• For those hesitant about starting with Open Claw, it’s recommended to take the leap and begin experimenting with VPS options for as low as $5 per month.

• Users are encouraged to utilize any spare computing resources at home since downloading and starting with Open Claw is free.

Learning About Skills

• Skills in Open Claw are likened to Neo learning kung fu in The Matrix, where knowledge is instantly integrated into the user's agent.

• New skills related to content creation and growth on platforms like X are expected to be released soon, emphasizing the evolving nature of AI tools.

Future Implications of AI Agents

• The discussion concludes by comparing having an AI agent at home to the early days of personal computers, suggesting that now is an ideal time for users to start learning and integrating these technologies into their lives.