I want you to build a complete course from scratch for a pro...

Prompt

I want you to build a complete course from scratch for a product called: # AI GENERATOR LAB ### Core promise: > **Find the best AI for what you actually need.** The course is NOT about teaching people how to master every individual AI tool. It is an **AI generator review, ranking, and decision-making course**. The student should finish the course knowing: > Which AI tools exist > What each one is good at > Which ones are actually good > Which ones are worth the money > Which AI is best for a specific situation > Which AI they should personally choose The tone should feel like: > **An honest reviewer who has tested the tools and tells you what is actually worth using.** It should NOT feel like: - an academic course - an AI engineering course - a generic "AI for beginners" course - a collection of tool tutorials - an AI news course --- # THE CORE RANKING SYSTEM The entire course revolves around two rankings. ## 1. QUALITY RANKING > **Which AI produces the best output?** Price does NOT affect this ranking. ## 2. VALUE RANKING > **Which AI gives the best result for the money?** Value should consider: - output quality - actual cost - usable output - credits - limitations - failed generations - speed - overall usability Quality and Value must remain separate. An AI can be: > #1 Quality but: > #6 Value That is perfectly acceptable. --- # THE TWO MAIN CATEGORIES ## IMAGE GENERATORS The course should cover the major current AI image generators/models. Examples may include: - Midjourney - GPT Image - Nano Banana - FLUX - Ideogram - Recraft - Leonardo - Adobe Firefly - Seedream - and other important current models Research the current landscape and determine which ones genuinely deserve inclusion. Do not blindly include every AI tool. --- ## VIDEO GENERATORS The course should cover major current AI video generators/models. Examples may include: - Veo - Kling - Runway - Seedance - Wan - Hailuo / MiniMax - Luma - Pika - and other important current models Again, determine the relevant current models instead of simply listing every AI website. --- # IMPORTANT: MODEL VS PLATFORM Explain this clearly because many users confuse them. A: ### MODEL is the actual AI generation model. Examples: - Veo - Kling - Seedance - FLUX - GPT Image A: ### PLATFORM is a website/product that may provide access to one or many models. Examples: - Runway - Leonardo - Krea - Adobe Firefly Explain why this distinction matters when comparing: - quality - price - access - value A single model may also be available through multiple platforms. --- # COURSE STRUCTURE Create the course from scratch. I want the course to be approximately **4–6 hours total**, unless your analysis strongly suggests otherwise. Keep it practical and easy to finish. --- # MODULE 1 — KNOW THE AI GENERATORS The first module should introduce the major AI generators. Do not teach advanced prompting yet. The purpose is: > **"What AI generators are actually out there, and what does each one do?"** Divide into: ## Image AI For every major AI: - What is it? - Who makes it? - What can it generate? - Biggest strength - Biggest weakness - Best use case - Worst use case - Who should use it? - Who probably shouldn't? - Where can it be accessed? - Basic pricing/access model ## Video AI Use the same structure. Do not make these lessons excessively long. The goal is familiarity, not mastery. --- # MODULE 2 — HOW WE RANK AI Teach the ranking system. Explain: ## QUALITY What makes an AI genuinely good? For image: - realism - prompt following - human quality - detail - composition - consistency - text - editing - artifacts - overall output quality For video: - realism - motion - physics - human movement - consistency - camera movement - prompt following - cinematography - image-to-video - text-to-video - artifacts - audio where relevant Then explain: ## VALUE Why the cheapest AI is not necessarily the best value. Teach concepts such as: - subscription - credits - cost per generation - cost per usable result - failed generations - limits - resolution - duration - queue - free tiers - commercial restrictions Keep this understandable for normal creators. --- # MODULE 3 — IMAGE AI RANKINGS This is a major core module. ## Part 1 — Quality Ranking Rank the major image models. Show: - rank - score - short verdict - strengths - weaknesses ## Part 2 — Value Ranking Rank them again based on value. Show: - rank - score - typical cost - who gets the most value from it - major limitations ## Part 3 — Best Image AI By Situation Create rankings for: - Best Overall - Best Quality - Best Value - Best Free - Best Photorealism - Best AI Humans - Best Characters - Best Product Images - Best Text - Best Editing - Best Consistency - Best Creative / Artistic - Best for Social Media - Best for Commercial Work - Best for Beginners For each: > Winner > Runner-up > Why > Who should choose it --- # MODULE 4 — VIDEO AI RANKINGS Use the same logic. ## Part 1 — Quality Ranking Rank major video models. ## Part 2 — Value Ranking Rank by real-world value. ## Part 3 — Best Video AI By Situation Include: - Best Overall - Best Quality - Best Value - Best Free - Best Cinematic - Best Realistic Humans - Best Motion - Best Physics - Best Image-to-Video - Best Text-to-Video - Best Character Consistency - Best Camera Movement - Best Native Audio - Best for Social Media - Best for Commercial Work - Best for Beginners Again: > Winner > Runner-up > Why > Who should choose it --- # MODULE 5 — WHICH AI SHOULD YOU CHOOSE? This should turn the entire ranking system into a practical buying guide. Create scenarios such as: ### Budget "I only have $10/month." "I have $30/month." "I can spend $100/month." ### Quality "I want the absolute best image quality." "I want the absolute best video quality." ### Specific use cases "I want realistic AI humans." "I want cinematic video." "I want product images." "I want social media content." "I want faceless content." "I want AI advertising." "I want client/commercial work." "I want the easiest AI." "I want the fastest AI." "I only want ONE image AI." "I only want ONE video AI." "I want ONE platform with access to many AI models." For every scenario, give a clear recommendation. Do not just say "it depends." --- # MODULE 6 — AI VS AI Teach users how to make direct comparisons. Examples: - Midjourney vs GPT Image - GPT Image vs Nano Banana - FLUX vs Nano Banana - Veo vs Kling - Kling vs Seedance - Veo vs Seedance - Runway vs Kling For each comparison: | Situation | Winner | |---|---| | Quality | | | Value | | | Realism | | | Speed | | | Ease of use | | | Consistency | | | Best for | | End with: > **Which one would I personally choose?** The point is not to make one tool universally better. The point is to explain **when one is better than the other.** --- # MODULE 7 — DON'T WASTE MONEY ON AI This module should teach users how AI pricing actually works. Cover: - credits - failed generations - subscription limits - fast vs slow generation - resolution pricing - video duration pricing - different model tiers - watermarks - public galleries - credit expiration - annual vs monthly pricing - commercial rights - API vs web pricing - third-party platform pricing Teach: > **The cheapest subscription is not always the cheapest way to get a usable result.** Explain how to evaluate real-world value. --- # FINAL MODULE — BUILD YOUR PERSONAL AI STACK The student creates their own simple AI stack. For example: ### My Image AI ___ ### My Video AI ___ ### My Best Value AI ___ ### My AI for Humans ___ ### My AI for Commercial Work ___ ### My Backup AI ___ ### My Monthly Budget ___ The goal is for every student to leave with: > **"These are the AI tools I actually need."** They should NOT feel like they need to subscribe to 15 different tools. --- # IMPORTANT COURSE PHILOSOPHY The course should teach: > **How to choose AI, not how to collect AI.** Avoid encouraging users to subscribe to every tool. The course should help them spend less money and make better decisions. --- # WHAT SHOULD BE EVERGREEN VS UPDATED Design the course so that the fundamental lessons remain useful. ### Evergreen: - what image/video generators are - model vs platform - quality vs value - how to compare AI - how pricing works - how to choose based on use case ### Continuously updated: - current rankings - current prices - new AI models - new model versions - new winners - new comparisons - new category leaders Explain what should therefore live inside the course versus a continuously updated community/database. --- # COMMUNITY CONNECTION The course will eventually connect to a paid community called: **AI Generator Lab** The community is a **Living AI Ranking**. It should contain: - latest Image Quality Ranking - latest Image Value Ranking - latest Video Quality Ranking - latest Video Value Ranking - new model reviews - new model alerts - AI vs AI comparisons - price changes - best-by-use-case updates - benchmark outputs - honest reviews The course should therefore be the **foundation**, while the community is the **living, constantly updated layer**. --- # REVIEW STYLE The tone should be: - honest - direct - practical - conversational - unbiased - willing to criticize - not overly technical - not corporate - not hype-driven Use conclusions like: > "This is excellent, but I wouldn't pay for it unless..." > "For the price, this is hard to beat." > "The quality is great, but the value isn't." > "This is the one I'd actually use." > "Don't buy this unless you specifically need X." Avoid exaggerated claims. Do not call anything "the definitive best" unless the evidence genuinely supports it. Use: > **Current ranking** > **Our current take** > **Latest review** because the AI landscape changes constantly. --- # RESEARCH REQUIREMENTS This course deals with a rapidly changing market. Research current information. For every major AI covered, verify when possible: - current model - current availability - current pricing - major capabilities - major limitations Prefer official sources for: - pricing - model names - capabilities Use independent sources for: - real-world performance - community sentiment - comparisons Clearly distinguish: **FACT** **OBSERVATION** **OPINION** Do not fabricate test results or pricing. --- # FINAL OUTPUT Create the course from scratch and give me: ## 1. COURSE NAME Give me 10 strong names. ## 2. TAGLINE Give me 10 options. ## 3. COURSE PROMISE One clear sentence. ## 4. COMPLETE COURSE STRUCTURE Module → Lesson → Main takeaway. ## 5. LESSON-BY-LESSON CONTENT Briefly explain what should actually be taught in every lesson. ## 6. RECOMMENDED COURSE LENGTH Total number of lessons + approximate duration. ## 7. FINAL STUDENT OUTCOME Clearly explain what the student will be able to do after completing the course. ## 8. COMMUNITY CONNECTION Clearly explain what the student gets from the course versus what they get from the living community. ## 9. COURSE SALES ANGLE Give me the strongest reason someone would pay for this course instead of simply watching free AI videos on YouTube. ## 10. FINAL RECOMMENDATION Tell me honestly whether this is strong enough to sell as a standalone course, or whether it should primarily be sold as a course + community membership. Do not redesign an existing course. Do not assume there is an existing structure. **Build the best structure from zero based on the concept above.**