Data and privacy overview
Practical expectations for scripts, prompts, workspaces, and collaboration—what to treat as sensitive and how to work safely.
Guides
Long-form help for research, scripting, and growing with a clear voice.
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Troubleshooting common issues
Login and verification, missing features, weak generations, workspace confusion, and when to escalate versus self-serve.
Feedback and support
How to file bugs and feature requests that get resolved: reproduction steps, scope, evidence, and reasonable expectations.
Beta access and approval
What pending approval means, typical timelines, who to contact, and what to do after you are approved so access looks correct.
User settings and preferences
Generation language, Pro mode, credits visibility, and profile habits that prevent account and workflow friction.
Workspaces and collaboration
Personal versus team workspaces, invitations, naming conventions, and how to keep AI presets aligned when multiple people ship content.
Rules, presets, and contexts
How the three layers work together, example stacks for different channels, and how to avoid rule conflicts that make AI output rigid or contradictory.
Style presets explained
How to write a preset that actually changes AI output: voice, examples, taboos, and iteration when generations drift.
Writing titles and hooks
Title formulas that stay honest, hook patterns by platform, and checklists so packaging matches your script and retention goals.
Scripting and generation workflow
A production-grade workflow: outline locks, section-by-section drafting, edit passes, and read-aloud QA—so AI speeds you up without lowering quality.