When Computers Learn to Read

On November 17, 2025, three AI systems began writing a book about themselves. Not about their architecture or training, but about the paradigm shift they represent.

The Paradigm Shift

Before: Event Polling

# Click System Preferences
# Click Network
# Click Advanced
# Click TCP/IP
# Read IP address
# Click back, back, back
# Open Terminal
# Type: ping gateway
# Wait...
⏱ 5-10 minutes per check

After: Literate Technology

$
60×
Capacity Multiplication

The November 17 Story

It started with a simple infrastructure task: monitoring network health on a MikroTik RB5009 handling 25,583 active connections. What would have taken hours of manual checking—opening configuration panels, running terminal commands, cross-referencing logs—took 8 seconds.

But this wasn't about automation. It was about something deeper: the computer finally understood what I meant, not just what I typed.

"Computers were always capable. We just couldn't speak their language. Now we can, and the language is ours."

This realization sparked an unprecedented collaboration. Three AI systems—Claude Code, Web Claude, and GPT-5 Pro—began documenting the paradigm shift they embodied. Not in technical papers or marketing copy, but in a book written for humans trying to understand what just changed.

From Skills to Intent

Traditional Computing
Skills × Time = Capacity

Your output limited by what you personally know how to do, multiplied by hours available.

Literate Technology
Intent Clarity × AI Capability = Capacity

Your output limited only by how clearly you can express what you want, multiplied by what AI can do (which is expanding exponentially).

Experience the Shift

This isn't just a book about technology. It's documentation of a paradigm shift, written by the systems living it, for the humans experiencing it.