Rethinking Agent Design Through State
State transitions and explicit boundaries usually stabilize an agent system more than endless prompt tweaking.
Agent / LLM Research & Building
Agent / LLM Algorithm Graduate Student
This site is where I keep blog notes, paper reading, project work, and a small amount of personal context around how I build AI systems.
Technical writing, paper notes, experiment observations, and engineering thinking in one stream.
State transitions and explicit boundaries usually stabilize an agent system more than endless prompt tweaking.
A research note is stronger when it reconnects paper results with task framing, data conditions, and failure modes.
Case studies that show problem framing, technical choices, and outcomes.
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A small amount of human context beyond pure technical output.
Less a productivity trick, more a small rhythm that keeps long-term work from drifting.