Better ways to work
with AI-assisted text.
Clear explanations, review protocols, and reusable skill briefs. No “100% undetectable” promises.
Zero-width spaces, Unicode controls, and what ‘AI watermarks’ really means
Some text artifacts can be found exactly. Statistical model watermarks and AI-likeness scores are different things. Here is how to tell them apart without damaging legitimate text.
Read field note →How to make an AI-assisted draft sound more like you
The durable way to humanize writing is editorial: recover intent, protect facts, add specificity, vary rhythm for a reason, and make the writer accountable for the final choices.
Read field note →Why AI detector scores are evidence, not a verdict
AI-likeness classifiers can support review, but they cannot establish authorship on their own. Their error rates change across models, domains, languages, editing, and the people being evaluated.
Read field note →The practical skill library
Every legacy AIssistify generator is now a reusable, model-agnostic playbook you can take to Claude, ChatGPT, or the AIssistify workspace—each with a full method, worked example, failure modes, and review checks.