The real problem with AI
Nate Jones’ breakdown of the fragmentation in modern AI workflows, where the human user is forced to act as the manual data router between multiple disconnected, specialized AI systems.
Key Takeaways
- The Human-as-Router Problem: The primary friction for advanced AI users is not model intelligence, but system fragmentation. Users find themselves manually carrying context and data between multiple specialized AI tools (e.g., using one for front-end, another for back-end, others for loops and automations).
- Specialized Model Strengths:
- Claude / Anthropic: Highly intuitive and vastly superior at front-end design.
- OpenAI: Possesses a very strong reputation and capability for back-end engineering.
- Workflow Friction: Advanced practitioners who run agencies or use tools like claude-code and openclaw still struggle because they must act as the “glue” or manual bridge between these systems.
Related
- nate-b-jones (Creator)
- human-as-the-router (Concept)
- claude-code (Entity)
- openclaw (Entity)
- model-families (Concept)