AI systems
Agents, models, orchestration, memory, and the changing shape of AI-native tools.
Lab Notes
AI systems, automation, and emerging technology
Notes, experiments, and observations on how AI, software, and business systems are changing.
What to expect
Signals, experiments, working ideas
Not a generic news feed. A space for interpreted updates, practical observations, and experiment-driven notes on AI agents, workflow design, automation, and product systems.
Some notes are short. Some go deeper. The goal is the same: make emerging technology more understandable, more usable, and more grounded.
Categories
What Geek Meow is paying attention to
Automation
Workflow patterns, integrations, operational improvements, and practical system design.
Products & experiments
Interface ideas, prototypes, product observations, and things worth building or watching.
Latest notes
Research notes
What AI-native operations may actually look like
A practical view of how agents, automation, and humans may work together in small teams.
Which AI workflows are hype, and which are useful
A grounded look at what deserves attention and what can be ignored for now.
Why memory matters in AI systems
A short note on why memory is one of the most important layers in useful AI systems.
Designing workflows that think with the team
A note on workflows that support team judgment, not only task movement.
Internal context may be the real product
A note on why usable internal context may be one of the highest-leverage systems a company builds.
AI-native interfaces may feel less like apps and more like flows
A note on why interaction may move toward context, timing, and flow.