Notes on agents, software, and work.
Systems / August 16, 2026 / 11 min read
LangGraph human in the loop: where to interrupt and how to resume safely
LangGraph human in the loop routes consequential actions through policy-driven interrupts and keeps resumed nodes replay-safe.
Systems / August 16, 2026 / 12 min read
Prompt engineering vs context engineering vs harness engineering: which control surface should you change?
Prompt engineering shapes instructions, context engineering curates information, and harness engineering controls the agent runtime.
Systems / August 16, 2026 / 10 min read
AI agents for small business: choose by consequence, not popularity
Choose AI agents for small business by matching each workflow's consequence and reversibility to permissions, approval gates, and recovery.
Systems / August 16, 2026 / 9 min read
AI playbooks: how to evaluate the workflow behind the label
AI playbook is an informal label, and recurring AI workflows can be assessed through scope, approvals, completion measures, and recovery.
Systems / August 16, 2026 / 10 min read
AI audit trail: how to judge whether an agent action is reconstructable
A useful AI audit trail connects the request to the acting agent, authority, execution, approval, verification, and persisted outcome.
Systems / August 16, 2026 / 10 min read
RPA vs agentic AI: choose by control boundary, not feature count
RPA fits predictable rules; agentic AI fits contextual choices, but only with explicit permissions, observability, state, and recovery.
Systems / August 16, 2026 / 10 min read
RAG vs agentic AI: what changes from retrieval to action
RAG retrieves evidence, agentic RAG changes how retrieval runs, and agentic AI acts across tools. Each step adds cost and control work.
Systems / August 16, 2026 / 11 min read
How does agentic AI differ from traditional automation?
Traditional automation follows a predefined path; agentic AI selects actions at runtime, so the right choice depends on path uncertainty and action consequence.
Operator notes / July 22, 2026 / 9 min read
Antigravity vs Cursor: choose on control and recovery
Leave with a decision you can defend: which tool suits your kind of work, what you can control before the agent writes to your repo, what you can recover when a long run fails, and how the launch-week verdict has aged, so you choose on cont