Course Guide & Curriculum
Everything you'll learn, build, and take away — across all three courses. Choose your path below.
3 modules · 9 lessons · Image ads
5 modules · 15 lessons · Prompt Builder
6 modules · 18 lessons · Full system
Module 1 — Train the Realism Eye
Before you can fix what looks fake, you need to see it. This module trains your visual diagnosis so you can identify exactly which layer is breaking believability.
Lessons
3 LESSONS- 1
What is AI Slop — and Why Your Customers Spot It Instantly
The 8 visual tells that make AI-generated content feel fake: wax skin, dead eyes, floating objects, physics breaks, smooth-everything, generic scenes, impossible reflections, and scale drift. Learn to name them.
- 2
The 7-Layer Realism System Overview
Product truth, scene logic, physical behavior, camera logic, light + materials, natural imperfection, and continuity + correction. How they stack and why fixing one layer without the others still looks fake.
- 3
Diagnosis Exercises — Before/After Comparisons
Side-by-side analysis of weak vs. directed examples across food, beauty, home, and service categories. Practice identifying which layer breaks in each case.
Module 2 — Lock Truth + Scene
Stop improvising. Lock down product references, approved facts, and scene context before you generate anything. This is how you prevent drift and maintain consistency.
Lessons
3 LESSONS- 4
Building Your Product Truth Board
How to document geometry, packaging, label hierarchy, color, finish, and approved facts so your AI never invents product details.
- 5
Scene Logic — Give the Product a Reason to Exist
Constructing believable person, place, moment, and action context. Why "luxury lifestyle" is not a scene and how to replace it with specificity.
- 6
Prompt Structure for Consistency
The anatomy of a realism prompt: product lock, scene direction, camera spec, material behavior, exclusions, and self-check. How to structure prompts that produce reviewable results, not random outputs.
Module 3 — Direct Image Ads
The core image creation module. Control camera, light, materials, imperfection, and surgical correction to produce photoshoot-quality images from AI.
Lessons
3 LESSONS- 7
Camera, Light & Material Control
How to direct viewpoint, framing, focus plane, motivated light, and category-correct material behavior. Making glass look like glass, food look edible, skin look real.
- 8
Natural Imperfection — The Secret to Believability
Adding selective texture, asymmetry, wear, and environmental detail. Why "too perfect" reads as fake and how controlled imperfection creates trust.
- 9
Surgical Correction Workflow
Freeze what passed, identify one defect, correct it, re-check. The iterative loop that turns a "close enough" generation into a publishable image. Includes before/after correction walkthroughs.
Module 4 — Ads Conversion Strategy
Realistic images aren't enough — they need to convert. This module teaches creative direction for ads, listing optimization, and introduces the Smart Prompt Builder.
Lessons
3 LESSONS- 10
From Beautiful Image to Converting Ad
The gap between "looks good" and "makes people buy." Understanding buyer psychology, visual hierarchy for commerce, and how to direct images that answer specific buying questions.
- 11
Listing Image Optimization
Product listing images that improve conversion rate: hero shots, detail shots, scale comparison, lifestyle context, and information hierarchy. How each position in the listing serves a different buyer question.
- 12
Smart Prompt Builder Masterclass
Complete walkthrough of the 5-stage Prompt Builder: Diagnose → Message → Angle → Creative → Test. How to use the tool to systematically build conversion-focused creative direction.
Smart Prompt Builder — Included with RM299
A 5-stage interactive tool that walks you from a buying problem to a tested creative direction — with structured prompts you can paste directly into any AI image generator.
Module 5 — Build the Realism Lab
Your ongoing quality system. Score variants, run controlled tests, maintain a review trail, and continuously improve your creative output.
Lessons
3 LESSONS- 13
Realism Scoring System
A structured scorecard for evaluating AI-generated images across all 7 layers. How to objectively compare variants and pick the strongest direction, not just the "prettiest" one.
- 14
Controlled Testing Framework
Designing tests that isolate one variable at a time. How to build a test card, set observation windows, define keep/revise/retire rules, and avoid false conclusions.
- 15
Building Your Permanent Review Trail
Documentation that compounds: how to maintain a correction library, variant history, and quality baseline that makes every future project faster and more consistent.
Module 6 — Cinematic Video Production
The premium video module. Produce Apple-level video ads with AI — replacing RM40–50k production crews, 3–4 models, and one month of production time.
Lessons
3 LESSONS- 16
Cinematic Movement & Camera Behavior
Weighted movement that feels directed, not generated. Plausible camera paths, rack focus, tracking, and the difference between cinematic motion and AI wobble.
- 17
Temporal Continuity & Scene Direction
Keeping products, lighting, wardrobe, and environments consistent across shots. Building a shot list, maintaining continuity, and directing scenes that cut together.
- 18
Video Prompt Engineering & Post-Production
Advanced prompt structures for video generation. Audio design, color grading, export specifications, and the post-production pipeline from AI output to publish-ready video.
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