https://t.co/JV9UaSABHz [CEO AI Revealed for the First Time] The Business Plan Automatically Wrote Itself Late at Night. The Secret Sauce of a Public Company CEO Was Something Everyone Already Had CEO Yoosuke Akinoshi [AI × Management] #AISummary How to Build a CEO AI and Multiply Productivity by 10x 🔳 Business Communications Increased 5x with CEO AI After implementing CEO AI, communications to employees increased by approximately fivefold. By automating project progress checks and document instructions, a system was established where AI continues operations even while the CEO sleeps. 🔳 Dramatic Increase in Business Plan Creation AI has automated business plan creation, enabling the generation of around 30 plans per day and roughly 200 per week. Previously neglected tasks due to time constraints are now being addressed, significantly boosting productivity. 🔳 Building a CEO AI Is Surprisingly Simple All you need initially is a computer and an AI tool like Claude. The key is teaching the AI your thinking patterns, decision criteria, and past experiences. No specialized programming skills are required—you can build your own personalized AI. 🔳 Train the AI on Both Work and Personal Life The CEO AI ingests not only emails, calendars, notes, and work documents but also shopping history, health data, and daily habits. The goal is not merely to optimize work but to streamline all aspects of life. Security measures for handling personal information are essential. 🔳 Historical Data Enhances AI Accuracy By training the AI on past emails, notes, and work records—not just current information—it learns how your thinking and decision-making have evolved over time. The more long-term data you accumulate, the closer the AI becomes to replicating your unique thought process. 🔳 The Secret Sauce of CEO AI Is Email Email was identified as the most critical training data. It accumulates information on work interactions, purchases, banking transactions, schedules, and more—providing approximately 70% of the insights needed to understand the individual. Those who have used the same email address for a long time find it easier to build a personalized AI. 🔳 Optimize Your Day with Morning Briefings Each morning, the CEO AI automatically generates a summary of the day’s schedule, key priorities, meeting readiness, and recommendations for work and personal life. Information that previously took 12 hours to gather can now be reviewed in just 3 minutes, helping you identify what to prioritize each day. 🔳 Significant Reduction in Meeting Time AI pre-reviews meeting materials and instructs staff on necessary preparations, allowing the CEO to focus solely on final decisions. Cases that previously required multiple meetings can now be resolved in one session due to higher-quality prep work, drastically cutting meeting time. 🔳 AI Pre-Reviews Employee Submissions Employee-created documents are first reviewed by AI against the CEO’s decision criteria. Only documents that pass this review reach the CEO, reducing confirmation workload while improving decision quality and reducing time spent evaluating materials. 🔳 Automated Business Plan Generation by AI By learning from the CEO’s past business plans and thinking patterns, the AI generates plans nearly identical to those the CEO would create—based on brief instructions alone. In a video demonstration, a 15-second prompt generated multiple plan options, incorporating past experience and career background into each proposal. 🔳 Enhance AI Performance with High-Quality External Data Even with limited personal data, you can improve output quality by training the AI on business plans or public management reports from top performers. Personal style is learned from private data like emails; specialized knowledge and planning skills are strengthened using external resources. 🔳 Start for Just ¥3,000–4,000 Per Month The CEO pays approximately $400/month for AI services but explains that under $100/month is typically sufficient. Even at ¥3,000–4,000/month, users may save 50–100 hours of work time per month. 🔳 Security Measures Are Mandatory When feeding internal or personal data into AI, preventing data leaks is critical. The CEO recommends configuring systems to store data locally and restrict external transmission. However, absolute security cannot be guaranteed—enterprise approval and proper management are prerequisites. 🔳 Begin by Consulting AI on Company Strategy As an entry point for AI adoption, recommend uploading your company’s revenue, profit, financial data, and business strategy. Analyze strategies for growing sales from ¥100 million to ¥1 billion, differentiating from competitors, or launching new ventures leveraging employee strengths to support decision-making. 🔳 Focus on Trial Volume Over Perfect Prompts You don’t need a perfect prompt from day one. Repeatedly giving instructions via voice input or other methods is more important than spending days refining wording. Learning speed increases faster through 100 trials than through three days of planning. Never blindly accept AI responses—always apply your own experience and intuition to judge outcomes. 🔳 Eight Levels of CEO AI AdoptionLevel 1: Answering questions Level 2: Document creation Level 3: Integration of personal data Level 4: Morning briefings Level 5: 24/7 AI agent At Level 6, the AI can make proposals exceeding the individual’s own capabilities; Level 7 involves scaling across all employees; Level 8 aims to expand to other companies. 🔳 The CEO’s AI has begun surpassing the individual’s own abilities The CEO explains they have now reached Level 6. An AI trained on 16 years of historical records now proposes ideas and business strategies that the CEO could not have generated alone. As the AI model itself evolves, its outputs now exceed the CEO’s personal capabilities. 🔳 Lancers’ Goal: Widespread Adoption of AI-Driven Management In addition to its traditional freelance matching platform, Lancers is strengthening its AI initiatives. The company promotes AI adoption among employees and operates an AI talent community of approximately 10,000 members. It helps enterprises adopt AI agents that replicate the thinking and decision-making frameworks of executives, supporting overall organizational productivity improvements. 🔳 The Ultimate Goal of AI Adoption: 10x Increase in Management Productivity The purpose of the CEO’s AI is not merely to automate routine tasks, but to enhance the quality of executive decision-making while reducing time spent. The ultimate goal is for every employee to master advanced AI agents, enabling a 10x increase in overall corporate productivity.