Posts tagged: editing
The Handoff Problem: Editing AI Drafts Without Starting Over
AI drafts that require a full rewrite are a failure mode, not a feature. How to structure the generation step so editing is revision, not reconstruction.
How to Handle Research When AI Gets Facts Wrong
AI is useful for structure and drafting, unreliable for factual claims. A practical approach to research-first workflows that use AI for synthesis without trusting it for sourcing.
What "Generic" Actually Means and How to Fix It Specifically
Generic is not the same as vague. It means wrong register, wrong specificity, wrong rhythm. A taxonomy of the most common problems in AI output and how to fix each one.
When AI Output Is Good Enough and When It Isn't
Not every piece of content requires the same quality threshold. An internal FAQ is different from a bylined article. How to make the call deliberately rather than by accident.
Why AI Writing Sounds Flat and What to Do About It
Not reassurance. Diagnosis. What AI models optimize for that produces generic output, and the specific editing moves that restore specificity and register.
Editing for Voice vs. Editing for Accuracy: They Are Not the Same Pass
Checking facts and restoring voice are different operations that should happen in different sessions. Why combining them produces worse results at both.
The Quality Floor: What Happens When You Rush the AI-Assisted Draft
The time savings from AI come with a minimum-investment threshold. Below it, output degrades in specific ways. What those failure modes look like and how to protect against them on tight deadlines.
The Voice Audit: Catching AI Patterns Before Your Client Does
A systematic editing pass for the tells that mark AI-generated text: structural symmetry, hedging phrases, the dead middle paragraph. What to look for and how to cut it.