What you can do with Antidote
Compounding knowledge keeps useful feedback available for future drafts. Antidote records your approval and revision preferences, and its Dots can suggest lasting rules from edits. You decide which suggested rules to keep, change or reject, so a correction can guide later work without being repeated in every new request.
Approval, rejection and revision feedback is recorded as drafting preferences. A request such as “explain the practical step before the background” can help with later articles as well as the current one. Antidote brings those preferences into drafting, giving the writer access to direction you have already given.
A Dot can suggest a learning from an article edit, caption edit or change request and show where it came from. Choose Keep, Edit or Not a rule. A temporary campaign change may not belong in permanent guidance. Only kept Dot learnings enter later work through this rule process.
You can see and edit kept learnings in the Dot’s memory. Keep each rule specific enough to judge, and revise it when the business changes. These preferences guide drafting rather than retraining the underlying AI model. They cannot guarantee every correction will be followed, so keep reading the next piece.
Approval, rejection and revision feedback becomes drafting preferences. Dots can separately suggest lasting rules from edits and other feedback.
A person chooses Keep, Edit or Not a rule. You can see and change kept rules in the Dot’s memory.
No. Clear rules help guide later drafts, but you still need to check the work.
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