How to write better with AI (and not sound like a robot)
The moment readers catch AI something worse than boredom happens: they stop hearing you and you lose credibility. I can't decide which frustrates me more: that people are too lazy to edit their AI outputs, or that Anthropic and OpenAI haven't devoted one of their big brains to stamping out the tells at the source.
Kaizen vs Red Team
I’d been running kaizen loops on the plan for days. Multiple personas, fresh sessions, the whole workflow I wrote about before. Each pass made the plan sharper. Better incentive curves, cleaner accelerators, tighter language. And then I ran a red team against it and an agent playing a behavioral comp analyst took it apart in about two prompts. There was a glaring fatal flaw I’d been polishing right past.
The JD is the Antifilter
The instinct is to add filters downstream. Better screening tools. AI knockout questions. Resume scorers. Keyword gates. That's a losing arms race. You can't out-filter a model that writes 500 cover letters an hour and learns whatever screener you put in front of it. Every dollar spent on the back-end filter is a dollar spent on the wrong side of the problem. The fix is upstream. The JD is the antifilter.
Map the Physics, Not the Sociology
AI agents don't organize by department. They organize by process. An agent doesn't care whether a task belongs to "marketing" or "ops" or "finance." It cares about the trigger, the data, the output, and the next state. Agents don't tolerate ambiguity any better than humans do. They just fail visibly when they encounter it. That's the thing that finally makes the cost of unclear process visible.
How We Work with AI at Lineage
We didn't hire you to absorb the system. We hired you because your experience and instincts are going to change it. Most companies are adding AI to their workflows. We built the company around it. The default at Lineage is that Claude runs the workflow. We don't start with a job and ask where AI can help. We start with what Claude can do alone, then add humans where judgment actually matters.