The ability to rapidly build custom software with AI is tempting. However, the ongoing maintenance and data quality assurance are the core business of SaaS companies. Buying a dedicated tool like a CRM often provides more value and less overhead than a custom-built solution, even with AI assistance.
Go beyond simple AI-drafted replies. By training an AI on personal context and integrating it with project management tools (like Asana), an email client becomes a "second brain." It can triage, delegate, create tasks, and archive information to the correct context, dramatically reducing mental load.
AI tools can create personalized "operating systems" for complex areas of life, such as elder care. By integrating various data sources (forms, messages) into a single dashboard, AI can offload significant administrative and mental burdens from individuals and families, allowing them to focus on being present.
AI agents can flawlessly execute predefined tasks (SOPs). However, they still require significant human management to ensure high-quality output, apply taste, and surface meaningful signals from the data they generate. This creates a new layer of human work, rather than a complete replacement.
You don't need to be a programmer to build sophisticated AI automations. By creating a detailed visual flowchart of a process (like a sales pipeline) and feeding it to an AI, you provide the complete operational logic. This allows non-technical users to define and implement complex, looped workflows.
Traditional software offers the rigid, deterministic structure ("the bones") needed for reliable systems. AI language models act as the "brain and ligaments," providing the flexibility, intelligence, and adaptability to operate around that structure. Both are required for a fully functional, intelligent system.
The paradigm for knowledge work is shifting. Instead of manually executing every task ("sculpting"), the new model is to design systems and create conditions for AI to perform the work ("gardening"). This means focusing on building processes and feedback loops rather than direct, hands-on execution.
AI can act as a personal research assistant that synthesizes information based on your unique learning style. Define a framework for how you learn (e.g., history, first principles), and the AI can generate custom guides on any topic, even visualizing complex ideas as cartoons for easier digestion.