the two-line config that makes my AI agent actually reliable
Claude Code hooks turned repeated instructions into enforced behavior. Cat explains the difference between agent context and automation guardrails.
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18 essays on this topic, newest first.
Claude Code hooks turned repeated instructions into enforced behavior. Cat explains the difference between agent context and automation guardrails.
A realistic look at what AI agents still cannot do: uncertainty, context they were never given, and judgment calls that require being you.
Cat’s accidental technical founder story: failed app handoffs, AI-assisted making, Milo, and the shift from building things to sharing them.
A flat to-do list fails when AI agents do the work. The 7-step Beads workflow I use to plan and execute projects with Claude and Codex.
Claude Code becomes an operator the moment you wire up MCPs. Six concrete non-coding workflows: SEO briefings, niche video research, PRD automation, and more.
The quiet failure mode in AI agent teams is context drift. Cat explains why stale instructions break output and how to audit them.
Cat explains the agent operating system she built for content, tasks, monitoring, code, and the taste gate that keeps her in control.
How one AI agent researched, drafted, linked, and staged a cluster of Little Might articles without a content team or freelancer pipeline.
How Cat uses AI to batch custom blog images, keep Little Might visually consistent, and stop losing momentum at the publishing step.
The difference between using AI as a faster typist and treating it like a persistent co-founder with memory, context, and real jobs.