01
AI &
Automation
Exploring AI agents, language models, connected tools, knowledge systems, and workflows that turn context into action.
- Agents
- MCP
- Knowledge systems
- Workflow design
Independent notes on useful technology
ZaccNet is a collection of projects, experiments, and lessons around artificial intelligence, automation, business systems, and emerging technology.
Learn. Build. Improve. Repeat.
01 / What I’m exploring
01
Exploring AI agents, language models, connected tools, knowledge systems, and workflows that turn context into action.
02
Small experiments and evolving systems—documenting what worked, what changed, and what came next.
03
Using better information and thoughtful automation to reduce repetitive work and make follow-through easier.
04
Software, APIs, security-minded design, and the practical connections between systems people rely on.
02 / Current interests
01
What changes when an AI system can work with organized knowledge instead of starting every conversation from scratch? The challenge is not storing more information—it is bringing forward the right context at the right moment.
02
Language models become far more useful when they can safely work with tools and information. I’m interested in thoughtful integrations where access is specific, deliberate, and useful.
03
Everyday work still involves too much copying, checking, tracking, and remembering. Good automation reduces that friction without making the work feel more complicated.
03 / Notes from the build
A few working principles behind the projects and experiments collected here.
A
Information is valuable when it can be found and applied at the moment it matters.
B
The goal is not to connect everything to everything; it is to create helpful, well-bounded connections.
C
The best systems surface what is needed, remove unnecessary steps, and leave room for human judgment.
04 / About ZaccNet
ZaccNet is a personal collection of technology projects, experiments, observations, and things I’m learning along the way. It is not a definitive guide. It is a place to follow good questions, build on what works, and share the lessons that are safe to share.
Ideas → Experiments → Systems → Better ideas