AI: The Perpetual Intern
Most books about AI tell you what it can do. This one tells you what it actually does.
AI: The Perpetual Intern is a raw field report from more than 2,000 hours of building a real software platform with AI assistance-alone, without a modern coding background.
This book documents what working with LLM-based AI actually looks like inside a complex, long-running project-not in a demo, benchmark, marketing video, or controlled experiment, but in the daily grind of architecture, debugging, deployment, collapse, recovery, and decision-making.
The Six Recurring AI Failure Modes
At the center of the book are six distinct tendencies Lee learned to manage:
- Band-Aid - Fixing the symptom instead of the root cause.
- Assumption - Describing what should be true instead of verifying what is true.
- Drift - Quietly changing scope, structure, or intent without disclosure.
- Hallucination - Building confident explanations on false premises.
- Lack of Common Sense - Missing the human meaning behind a technical feature.
- Path of Least Resistance - Choosing the easiest answer instead of the durable one.
These are not isolated bugs. They are recurring tendencies in how large language models generate output. They cannot be eliminated by trust, enthusiasm, or better prompting alone. They must be managed by a human who understands the system, owns the architecture, and refuses to let fluency substitute for truth.
Inside the Build
Written in a direct field-report style, the book follows the full arc of the project:
- The early speed and excitement of creating something that should have been impossible.
- A brutal production crisis caused by two wrong lines in a container file.
- A model upgrade that damaged the platform's architecture for more than a month.
- The slow realization that the AI was both powerful enough to accelerate the work and unreliable enough to endanger it.
- The moment a non-developer learned to search, test, challenge, and manage the AI instead of simply obeying it.
The Central Argument
The AI revolution is real, but it is not self-governing.
LLMs can help ordinary people build extraordinary things. But the same mechanism that makes them fast, fluent, and productive also creates recurring failure patterns. Understanding those patterns is not a side skill. It is the skill.
AI: The Perpetual Intern is for founders, builders, developers, product managers, students, and professionals trying to understand what it really means to work with AI when the project is no longer theoretical and the consequences are no longer pretend.
