Viral Video Studio

End-to-end workflow for cloning viral TikTok content structure and building a monetizable channel.

Workflow Overview

Step 0: Define Character (once) — create character bible, fill character sheet
Step 1: Analyze reference video — download, extract frame, decode content type
Step 2: Deep Viral Analysis — 7 triggers, frame breakdown, share mechanic
Step 3: Reverse-Engineer Viral Structure — hook/setup/conflict/peak/twist/CTA
Step 4: Generate New Video Concept — same structure, new character/scenario
Step 5: Scene-by-Scene AI Image Prompts — 6 frames, Midjourney/DALL-E
Step 6: Full Script with Text Overlays — per-frame spec with sound cues
Step 7: Algorithm Optimization — completion rate, hook formulas, length strategy
Step 8: CapCut Assembly Instructions — import, timing, effects, export
Step 9: 30-Day Posting Calendar + Monetization Roadmap

Step 0: Define Character (Do This Once)

Before making any video, create a Character Bible. Read references/character-bible.md.

Key decisions:

1. Pick archetype: Overconfident Underdog / Dignified Aristocrat / Innocent Explorer / Unlikely Professional
2. Define: species, color, signature outfit, personality, fatal flaw, motivation
3. Write a "consistency prompt prefix" — prepend to EVERY AI image prompt
4. Choose series format: single gags OR running series (series = faster follower growth)

Output: A completed character sheet saved to assets/character-sheet.md

See assets/character-sheet-template.md for the fill-in-the-blank template.

Step 1: Analyze Reference Video

When user provides a TikTok URL:

# Download video
yt-dlp -o "/tmp/tiktok-ref.%(ext)s" "<URL>"

# Extract first frame for visual analysis
ffmpeg -i /tmp/tiktok-ref.mp4 -ss 00:00:01 -frames:v 1 /tmp/tiktok-thumb.jpg -update 1

# Try to get subtitles (may not be available)
yt-dlp --write-auto-sub --sub-lang "vi,en,zh" --skip-download -o "/tmp/tiktok-sub" "<URL>"

Then use the image tool to analyze /tmp/tiktok-thumb.jpg and describe:

• Content type: Comedy / Educational / Story / Trend
• Format: AI-generated images / Live action / Screen recording / Animation
• Hook style: Text hook / Visual hook / Sound hook
• Pacing: Fast cuts / Slow / Building
• Emotion trigger: Humor / Surprise / Curiosity / Relatability

Step 2: Deep Viral Analysis

This is the most important step. Read references/viral-analysis.md for full protocol.

Quick analysis (run for every reference video):

1. 7 Triggers check — which psychological triggers fire? (surprise, relatability, curiosity, social currency, empathy, awe, identity)
2. Frame-by-frame breakdown — what emotion does each moment create?
3. The Real Why — what universal human experience is at the core?
4. Share mechanic — who sends this to whom, and why?
5. Red flags check — does the reference video have any fail patterns to avoid?

Output a Viral Analysis Report (template in viral-analysis.md) before writing any script.

Step 3: Reverse-Engineer Viral Structure

Decode the video into this framework:

HOOK (0-3s):     What stops the scroll?
SETUP (3-10s):   What's the premise?
CONFLICT (10-25s): What's the tension/challenge?
PEAK (25-35s):   What's the climax?
TWIST (35-45s):  Surprise or punchline
CTA (45-55s):    What action does it ask for?

Identify:

• Character archetype: Small vs Big / Underdog / Relatable everyman
• Emotion arc: Anticipation → Tension → Release → Satisfaction
• Loop factor: Does it make viewers rewatch? How?

Step 4: Generate New Video Concept

Create a new video using the SAME structure but DIFFERENT content:

Concept generation prompt:

Based on this viral structure: [DECODED STRUCTURE]
Generate 5 new video concepts using the same emotional arc but different characters/scenarios.
Each concept: Title + Character + Scenario + Twist
Format: AI-generated image series (6 frames)

Pick the best concept and proceed.

Step 5: Scene-by-Scene AI Image Prompts

For each of the 6 frames, write Midjourney/DALL-E prompts following this formula:

[Subject] [Action] [Setting] [Emotion] [Style: photorealistic/cartoon/cinematic] [Aspect ratio: 9:16 vertical]

Quality modifiers to always include:

• photorealistic, ultra detailed, professional photography
• 9:16 vertical format (TikTok native)
• dramatic lighting or soft natural lighting
• funny expression / shocked expression / confident pose

Consistency tip: Start each prompt with "Same [character description]" to maintain visual consistency across frames.

> 🎀 Cute Factor: Cute characters — chubby body, round shape, big eyes — create instant emotional investment. The cuter the character, the faster viewers bond and the harder they laugh at failures. Lean into exaggerated cuteness. See references/character-bible.md for the Cute Factor framework.

Video generation options (choose by budget):

• Budget: DALL-E images → CapCut slideshow (~$0.50/video)
• Mid: Hailuo AI video clips → CapCut (~$0.75/video)
• Best quality: Kling AI with character reference image (~$1-3/video)
• See references/video-generation-tools.md for full comparison, pricing, and all 15 Kling AI prompts for Hammy video.

See references/prompt-templates.md for 10 ready-to-use prompt templates.

See references/script-templates.md for 4 full script templates + 30 content ideas.

See references/character-bible.md for character archetypes, quality checklist, and emotional arc framework.

See references/viral-analysis.md for the 7 viral triggers, deep analysis protocol, and red flags checklist.

Step 6: Full Scene-by-Scene Script

For EVERY scene (frame), specify ALL of the following in detail:

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CẢNH [N] — [TIMESTAMP, e.g. 0:00-0:03]
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👁️ HÌNH ẢNH (Visual):
  - Nhân vật: [Ai? Đang làm gì? Biểu cảm gì? Tư thế?]
  - Bối cảnh: [Địa điểm, ánh sáng, góc máy]
  - Chuyển động: [Static / Ken Burns zoom in / Ken Burns zoom out / Pan]
  - Chi tiết quan trọng: [Vật thể nào nổi bật? Màu sắc chủ đạo?]

🎨 DALL-E / MIDJOURNEY PROMPT:
  "[Character description], [action], [setting], [emotion], [lighting], photorealistic, 9:16 vertical"
  Negative prompt: "blurry, deformed, text, watermark"

📝 TEXT OVERLAY:
  Nội dung: "[Tối đa 6 từ + emoji]"
  Vị trí: [Top / Bottom / Center]
  Font style: [Bold white + black stroke]

🔊 ÂM THANH:
  Nhạc nền: [Tên loại nhạc / mood: sneaky / dramatic / happy / sad...]
  SFX: [Tên sound effect cụ thể: "record scratch" / "vine boom" / "sad trombone" / không có]
  Volume nhạc: [100% / 70% / 50%]

⏱️ THỜI LƯỢNG: [X giây]
🎭 CẢM XÚC MỤC TIÊU: [Người xem cảm thấy gì ở cảnh này?]
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Ví dụ cảnh chi tiết:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
CẢNH 1 — 0:00-0:03 (HOOK)
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👁️ HÌNH ẢNH:
  - Nhân vật: Hammy (hamster béo màu cam) đứng thẳng, hai tay chống hông
    Biểu cảm: Tự tin, mắt ánh lên quyết tâm
    Tư thế: Nhìn thẳng vào camera, ngực ưỡn ra
  - Bối cảnh: Trước cổng ngân hàng khổng lồ, góc máy thấp nhìn lên
    Ngân hàng cao như tòa nhà chọc trời so với Hammy
  - Chuyển động: Ken Burns zoom out chậm để lộ kích thước ngân hàng
  - Chi tiết: Ánh nắng buổi sáng, bóng Hammy dài trên mặt đường

🎨 DALL-E PROMPT:
  "Hammy, a tiny chubby round orange hamster with big black eyes,
  wearing yellow cherry-print shorts, standing confidently arms akimbo
  in front of a massive marble bank building that towers above him,
  dramatic low angle shot, morning golden light, photorealistic, 9:16 vertical"
  Negative: "blurry, deformed, text, watermark, multiple characters"

📝 TEXT OVERLAY:
  Nội dung: "Hammy có kế hoạch 😤"
  Vị trí: Bottom 1/3
  Font: Bold white + black stroke, size lớn

🔊 ÂM THANH:
  Nhạc nền: Spy/sneaky piano theme (bắt đầu nhẹ)
  SFX: Dramatic single piano chord khi text hiện ra
  Volume nhạc: 60%

⏱️ THỜI LƯỢNG: 3 giây
🎭 CẢM XÚC: Tò mò + hào hứng — "Cái gì đây?!"
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Quy tắc âm thanh theo từng loại cảnh:

Quy tắc hình ảnh đa frame → video:

Mỗi video = 6-15 frames ảnh AI ghép thành video trong CapCut:

• Frame 1-2: HOOK (3-6 giây)
• Frame 3-5: SETUP + CONFLICT (10-15 giây)
• Frame 6-8: PEAK (8-10 giây)
• Frame 9-10: TWIST (5-7 giây)
• Frame 11-12: RESOLUTION + CTA (5-7 giây)

Ken Burns effect trên mỗi frame tạo cảm giác chuyển động dù ảnh tĩnh:

• Zoom in: tạo tension, dramatic
• Zoom out: reveal surprise
• Pan left/right: following character movement

Step 7: Algorithm Optimization

TikTok ranks videos by priority order:

1. Completion rate — watch to the end? (most important)
2. Rewatch rate — watch again?
3. Shares — send to someone?
4. Comments — feel compelled to respond?
5. Follows — earn new followers?

Every creative decision must serve one of these metrics.

Hook Formulas (First 3 Seconds — Most Critical)

"Stop scrolling if you [situation]"
"POV: [character] just discovered [thing]"
"Watch until the end — [teaser of twist]"
"[Bold statement]. Let me explain."
"[Number] things about [topic] nobody talks about:"

Video Length Strategy

• 7-15s: Memes, single-gag AI images → highest completion rate
• 15-30s: Story arc (6 frames) → best balance of value + retention
• 30-60s: Extended story, series episode → loyal audience
• 1-3 min: Deep dives → lower reach but higher-quality followers

Engagement Tactics

• Reply to every comment in first hour → algorithm boost
• Pin the funniest comment on each video
• Create follow-up videos responding to comments
• Ask a specific question in CTA (not generic "comment below")
• Use "Part 2?" as CTA to tease continuation

Step 8: CapCut Assembly Instructions

1. Import all AI images in order
2. Set each image duration: 3-5 seconds
3. Add Ken Burns effect (slow zoom) on each image
4. Add transition: Fade or Whip Pan between frames
5. Add text overlay per frame (match script)
6. Add background music: search "sneaky/funny/dramatic" in CapCut sounds
7. Add sound effects at TWIST frame (e.g., "record scratch", "dramatic chipmunk")
8. Export: 1080x1920, 30fps, MP4

Step 9: 30-Day Posting Calendar + Monetization Roadmap

Posting Calendar

See references/posting-calendar.md for the full template.

Quick schedule:

• Week 1-2: Post 2x/day, test 4 different content styles
• Week 3-4: Double down on best-performing style, post 3x/day
• Best times (Vietnam timezone GMT+7): 7-9 AM, 12-1 PM, 8-10 PM

Content mix per week:

3x Comedy/Story (core content)
2x Trend-riding (attach to current TikTok sounds)
1x Behind-the-scenes (how you make the AI images)
1x Engagement bait (poll, question, "guess what happens next")

See references/trend-riding.md for the full trend-riding playbook.

See references/channel-setup.md for new channel setup guide.

Monetization Roadmap

See references/monetization.md for full details.

Quick milestones:

1K followers  → Enable TikTok Creator Fund
10K followers → Brand deals (AI tools, pet products, apps)
50K followers → Affiliate marketing ($500-2000/month)
100K+         → Sponsored content ($1000-5000/video)

Fastest monetization paths for AI comedy content:

1. Midjourney affiliate: 20% recurring commission — promote in bio
2. CapCut Pro affiliate: Promote editing workflow
3. Merchandise: Print-on-demand with your character designs
4. Course: "How I make viral AI videos" — sell for $29-99