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Faceless AI
47 topics across 6 chapters
Chapter 1
Foundations: niche, audience, and brand basics
1
Faceless content models: voiceover, text-on-screen, animation, screen capture, compilations
2
Niche and audience research
2 subtopics
3
Market scan: competitors, content gaps, and differentiators
4
Audience persona and value proposition statement
5
Brand positioning and channel identity
2 subtopics
6
Brand kit: naming, tone, visual style, and repeatable templates
7
Channel setup checklist: profiles, banners, link-in-bio, and basic SEO fields
Chapter 2
Content strategy and scripting
8
Content formats and hooks (shorts vs longform, series design, retention levers)
9
Scriptwriting workflow
2 subtopics
10
Outline and script templates (intro, body beats, CTA, end screen prompts)
11
Fact-checking, sourcing, and citation habits for creators
12
Storytelling, pacing, and structure (open loops, pattern interrupts, payoffs)
Chapter 3
AI asset creation (text, visuals, voice, editing)
13
Prompting for text: briefs, constraints, examples, and iterative refinement
14
Visual generation (images and video)
2 subtopics
15
Image generation style guides (character consistency, palettes, composition prompts)
16
AI video generation and b-roll strategy (shot lists, continuity, safe usage)
17
Voice and audio pipeline
2 subtopics
18
Text-to-speech basics: voice selection, pronunciation, and consistency
19
Audio cleanup and mixing: noise removal, EQ, compression, loudness targets
20
Editing and assembly pipeline
2 subtopics
21
Video editing fundamentals: timeline, pacing, b-roll placement, and transitions
22
Captions and motion graphics basics: templates, readability, and emphasis
Chapter 4
Publishing, SEO, and growth
23
Platform algorithm basics (YouTube, TikTok, Reels): reach, watch time, and satisfaction
24
Metadata, thumbnails, and titles
2 subtopics
25
Thumbnail design principles: contrast, curiosity, clarity, and brand consistency
26
A/B testing plan for thumbnails and titles (hypotheses, cadence, decision rules)
27
Analytics and iteration
2 subtopics
28
Retention analysis: hooks, drop-off points, and segment-by-segment fixes
29
Experiment design: content backlog, controlled variations, and post-mortems
Chapter 5
Monetization and compliance
30
Monetization models
2 subtopics
31
Ad-based monetization: eligibility, content suitability, and consistency targets
32
Affiliates, sponsorships, and digital products: offers, funnels, and disclosure
33
Copyright and licensing basics: music, stock, clips, and attribution
34
AI policy and disclosure: labeling synthetic media and platform requirements (high level)
35
Ethics and safety: misleading content, impersonation, sensitive topics, and trust
↗ Fact-checking, sourcing, and citation habits for creators (see Chapter 2)
Chapter 6
Systems, automation, and scaling
36
Production pipeline and SOPs: checklists, quality bar, and review steps
37
Automation and reuse
2 subtopics
38
No-code automation: scheduled generation, task routing, and notifications
39
Asset management: folder conventions, naming, backups, and reusable project files
40
Outsourcing and collaboration: roles, briefs, feedback loops, and QA

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