๐ง Opus 4.5 Changed How Andrew Wilkinson Works and Lives
Summary
Entrepreneur Andrew Wilkinson, cofounder of Tiny, has significantly integrated AI into his professional and personal life, leveraging Anthropic's Opus 4.5 and Claude Code. He now wakes at 4 a.m. to build AI automations, a stark contrast to his previous nine-hour sleep schedule. Wilkinson has developed several custom AI tools, including Deep Personality, an AI relationship counselor that analyzes personality traits and predicts conflicts, and a web-based email client that triages 200-300 daily emails, reducing his workload by 50%. He also uses an AI agent to analyze meeting transcripts for manipulative tactics and a personal stylist AI that recommends outfits based on weather and his wardrobe. This shift has led him to re-evaluate Tiny's acquisition strategy, slowing down purchases of software companies unless they possess strong non-code-based moats like brand or distribution, due to AI making programming capabilities widely accessible and cheap.
Key takeaway
For entrepreneurs and investors evaluating software businesses, recognize that AI's ability to generate code rapidly diminishes the competitive advantage of programming itself. You should prioritize investments in companies with strong non-code moats, such as established brands, unique distribution channels, or proprietary hardware, as these will be more resilient in an AI-driven market where software development costs approach zero. Consider how AI can transform existing business models rather than just enhancing current software offerings.
Key insights
AI, particularly Opus 4.5 and Claude Code, empowers rapid, customized software development for both personal and professional applications.
Principles
- AI democratizes software creation, shifting competitive moats from code to brand or distribution.
- Careful prompt engineering is crucial to avoid AI reinforcing biases.
- AI can provide objective data for complex human interactions.
Method
Utilize AI models like Claude Code to build custom web applications by describing desired functionality in plain English, integrating with existing data sources (e.g., Google Sheets, Gmail credentials), and iteratively refining the output.
In practice
- Build custom email triagers to manage high email volumes.
- Develop AI-powered personal assistants for daily tasks like outfit recommendations.
- Use AI for psychological pattern detection in professional meetings.
Topics
- Opus 4.5
- Claude Code
- AI Automation
- Agent-Native Architectures
- AI Business Strategy
Best for: Entrepreneur, AI Engineer, Investor
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Editorial summary, takeaway, and curation by AIssential. Original article published by AI & I - Every.