Solutions
Ideas packaged around real problems with working implementations, from prompt systems to browser-native AI.
About AIBussin
Build useful systems with modern AI.
AI is becoming part of the interface between people, software and information. AIBussin is where I build and test practical systems around that shift — then write down what survives contact with reality.
A working surface, not a blog
AIBussin is not primarily a news blog or a tutorial feed. It is the place where practical AI ideas are developed into working systems, reusable solutions, experiments, technical books, tools, prompts and articles — with each form feeding the others.
Books
Long-form, first-principles treatments of agents, context, memory, language, retrieval and AI engineering.
Tools
Interactive applications — prompt libraries, builders and working sessions — for doing the work, not just reading about it.
Articles
Experiments, technical notes and ongoing explorations that support the larger systems and books.
From question to working result
Not every project follows a rigid process, but a recurring pattern connects most of the work here: prototype an idea, test it against reality, keep what the evidence supports, and turn the durable result into something other people can use.
Question
Start from a precise question about how an AI mechanism behaves, not from a tool looking for a use.
Experiment
Prototype with code, measure what happens, and revise. Failures are recorded, not hidden.
System
Turn what works into a working system with explicit state, boundaries and observable behavior.
Solution, book or tool
Publish the durable result in the form that fits: a solution page, a book chapter, or a tool.
Books are one output, not the whole site
The books work through difficult subjects — agents, context, memory, language, embeddings, browser AI, debugging — from first principles. Each one is developed alongside the experiments and systems it describes.
Featured book
Applied AI
Engineering Intelligence Into a Reliable Process
How does model intelligence become reliable engineering?
Build from a callable model to explicit context, durable state, controlled actions, independent verification, and a deterministic runtime that decides what happens next.
Read the book →
Featured book
Browser AI From First Principles
What happens when the browser itself becomes the AI runtime?
Build browser-native AI from the capability boundary upward: local models, observability, WebMCP tools, agent security, and a user-owned browser policy engine.
Read the book →Where ideas become usable
Solutions are the differentiator of this site: each one connects a real problem to its mechanism, implementation and supporting evidence.
Different entry points into the same work
Start from the depth you need, then move between explanation and application.
Three sites, one body of work
AIBussin is part of a small ecosystem of independent sites. They overlap deliberately — each exists because it answers a different question.
Start with the problem you want to understand or solve.
Open the solution library for something usable today, or a book for the full mechanism behind it.