AI Content Creation Monetization Zero-Basics Guide (Short Text, Long Text, Images, Short Videos, Long Videos)

If you’re a complete AI creation newbie, you probably have two questions: What kind of content can AI actually create?

For someone like me who can’t write, draw, or edit, how do I get started?

This article will answer all those questions.

I’ll break content down into five formats: short text, long text, images, short videos, and long videos.

Each format has topics that are well-suited for AI. For each topic, I’ll explain two things:

• Why AI is a good fit
• How to use AI to do it

Today, I’m laying out the entire roadmap. After reading, you’ll understand roughly how many paths there are and how to walk each one—without diving into details.

If people are interested, I’ll follow up with specific step-by-step tutorials for different topics and workflows.

Content Creation: You Only Make Judgments

No matter what type of content you’re making, the process is always the same: find a topic, gather materials, create it, publish it, and check the data.

The only two steps that truly need you are: choosing the topic and finalizing the version.

Everything else—scanning sources, fact-checking, writing drafts, adding images, adapting for different platforms, syncing to a dozen draft folders—is repetitive work that doesn’t require your taste. It’s perfect for AI to take over.

My own content creation system is built on this division of labor.

An AI role I call “Topic Scout” automatically scans my specified sources every morning, filtering by three criteria: prioritize real-world AI applications, topics not yet overdone in the Chinese circle, and those with solid evidence (data or original text). It then gives me three to five options, each with a one-line topic, a unique angle, and source links. I glance and pick one.

After I pick, a “Research Assistant” gathers the full background, voices from both sides, and hard data. If something can’t be found, it marks it as 【Pending Verification】—never makes things up.

Once the draft is done, a “Rewrite & Distribute Officer” automatically adapts it into versions for X, Xiaohongshu, and WeChat Official Account. From start to finish, I only did two things: choose the topic and finalize the version.

Remember this division of labor. The five content formats below are all just variations of this process with different outputs.

How to Find Topics?

All content starts with a topic, so let’s cover this separately. Beginners often get stuck on “I don’t know what to write.” Here are a few ready-made sources:

Follow top accounts. Use tools like AI New Rankings to find the accounts with the highest readership in your niche. Keep reading what they write, and the platform algorithm will push similar content to you.

Track industry news. In the AI field, new tools and new ways to use them appear daily. Being a day or two early to discover and clearly explain them is valuable in itself.

Track what you’re doing yourself. Today, you learned a tool’s feature or achieved a result. Break it down into steps and share it—that’s a piece of content. The key is to write from the perspective of “what the reader can learn,” not “what I’m doing.”

Follow reader questions. Questions in comments and groups are ready-made topics. They are more on-point than topics you brainstorm yourself.

Watch for “low-follower, high-viral” signals. If a small account that usually gets a few dozen reads suddenly gets thousands or tens of thousands on one post, it means there’s market demand for that topic but not enough people writing about it. It’s worth following up.

AI can automate all these actions for you.

So, what kind of content can we start making with AI?

Let’s dive in.

1. Short Text: Fastest Output, Best for Beginners

Short text is the first thing beginners should practice. It has fast output, fast feedback, and is the easiest way to run through the entire process. Four types of topics are suitable for AI: news snippets, jokes, information aggregations, and mini-tutorials. Let’s go through them one by one.

AI Writing News Snippets

Why it’s suitable: News snippets basically don’t require personal emotion or style; they need speed and accuracy. AI can efficiently verify the truth of a piece of information and compare a large batch of news at the same time to pick the most newsworthy one. This is exactly the kind of work that is slow and tedious for humans, but fast and stable for AI.

Process:

• Scrape information: Gather related news from across the web.
• Aggregate: Consolidate different sources of the same event.
• Filter: Have AI pick the most newsworthy ones from the pile.
• Review: You glance over them.
• Finalize: You decide which one to write.
• Have AI write it: Focus on two things—whether the hook is catchy enough and whether facts have been verified.
• Produce a short text.
• Scale up: Once the process works, run it automatically at a fixed time every day.

Fact-checking must be your responsibility. AI can hallucinate at any time with information-type content, making up a non-existent number or mixing up sources. Always verify yourself before publishing.

AI Writing Jokes

Nora X @NoraX2026 · Jun 9
Article: 0 web reach 6 million daily exposure: I completely distilled myself
2026.06.06, I had a post go viral
6 million traffic
Opened creator revenue in one day,
The logic is actually simple. After reading this article, I believe you can do it too!
… 731 10 414 44K

AI-assisted creation, 6 million daily traffic.

Why it’s suitable: Jokes seem to rely on inspiration, but they actually have a structure—setup plus punchline, with a twist point. Structured things AI can imitate.

Also, the hit rate for jokes is naturally low. A human might labor over ten and none might go viral. AI can generate fifty at once; you just pick the best. The hit rate problem is solved by volume.

Process:

• Collect viral jokes from your niche and build a corpus.
• Have AI deconstruct the structure of these jokes: how the setup works, where the punchline is, what the twist is.
• Given today’s theme, have AI batch-produce dozens of variations following the extracted structure.
• You pick out three to five that feel right.
• Manually rewrite: change the written tone to your natural speaking voice.
• Publish and check the data.
• Feed the viral ones back into the corpus—AI will mimic them more accurately over time.

AI Doing Information Aggregation

Noah Duck Captain 3 @noahduck283 · May 3
I’ll add a few more. I only use 3 websites now,
Read all trending topics in 5 minutes a day

1. NewsNow (multi-platform aggregation)
   One page to view Zhihu, Weibo, Bilibili, Hupu, V2EX
   No need to switch apps
   https://newsnow.busiyi.world

2. Today’s Hot List (most comprehensive categories)
   Besides regular platforms, you can also see GitHub Trending, Product Hunt, Hacker News
   Tech and product hotspots are all here
   Show more
   Quote
   OpenCils @OpenCils · May 3
   ✎ Must bookmark for self-media! Two top-tier websites I’ve privately saved for over 3 years.

To stay on top of trending topics and world news, these two websites are really useful, bookmark them!

For domestic news, choose “Today’s Hot List.” Easily browse various hot topics domestically, updated quickly and comprehensive. It’s super convenient for finding materials daily. It also has a tracking function to track various things. Basically, I know all the major events happening in the AI circle.
24 31.3K 5.6K 1.3M

A tool post with close to 1.4 million exposure.

Why it’s suitable: The essence of an aggregation post is collecting, filtering, and sorting—all grunt work.

For content like “Ten Free Video Editing Tools” or “Five New AI Features to Watch This Week,” a human would have to open dozens of tabs and check each one. AI can scan the entire web in minutes.

Process:

• Define an aggregation theme, e.g., “Free Image Generation Tools.”
• Have AI collect candidate entries from across the web—the more the better.
• Deduplicate and verify: check if links still work, if feature descriptions are accurate, if they’re outdated.
• Sort by value to the reader, cut down to eight to ten items.
• Add a one-line value description for each: “What this can do for you”—don’t write specs.
• Format and publish. The same theme can be redone from a different angle (free, beginner-friendly, for a specific scenario) for additional posts.

AI Writing Mini-Tutorials

Why it’s suitable: Tutorials are the ultimate structured output—step one, step two, step three—no omissions, no jumps. The biggest mistake humans make when writing tutorials is leaving out steps they think are “obvious.” AI won’t do that. It can write every step completely and even add a “why do this” for each.

Process:

• First, run through the tool or operation yourself completely.
• Take screenshots as you go and record each step.
• Give the operation log and screenshots to AI, and have it organize them into a step-by-step article.
• Have AI add reasons for each step and handling of common errors.
• Follow the final draft from start to finish to confirm every step is reproducible.
• Publish. New questions from readers in the comments become topics for your next tutorial.

2. Long Text: More Valuable, More Structural

Short text is for practice; long text is for making a living. Long text is more valuable and requires more structure, which is exactly AI’s strength: it can maintain a consistent format, fill in comparison tables row by row, and review a topic from multiple perspectives without forgetting the format set in chapter one.

In my view, long text includes at least these types: tutorial-style long articles and comprehensive guides, tool-based long articles, AI teaching articles, reviews of new tools and new AI, and news analysis. I’ll group them by process differences into three lines.

Tutorial-Style Long Articles / Comprehensive Guides

Golden Dust Horse @jinchenma_ai · May 17
Article: 2026, UK God Card giffgaff: Card Opening, Activation, Number Retention Guide—You’ll Definitely Use It!
Getting a UK giffgaff card while in China is getting harder.
Most online tutorials for “giffgaff free shipping to China” are still stuck in 2023/2024. Following that process, the order page simply doesn’t let you select China address.
… 46 205 1K 1.9M

Card opening tool article, 2M traffic.

Why it’s suitable: The value of this type of long article lies in its “completeness” and “logic”—from zero to success, with no gaps.

AI excels at outlining based on a learning path and writing instructions for each step that can be directly copied. You handle the actual testing and quality control.

Process:

• Choose a tool or method you have already mastered as the topic.
• Have AI outline based on a beginner’s learning path: from installation to first result, no skipping steps.
• For each step, provide three things: directly copyable commands or prompts, why to do it, and the goal of this step.
• Test it yourself, take screenshots, and note any pitfalls you encounter.
• Have AI organize your pitfalls into a “Common Issues” section.
• End with an action recommendation or decision guidance—readers will save your post for this.

At 300-500 words per step, plus introduction and conclusion for 7-8 steps, you’ll naturally have a 4000-word article.

Review-Style Long Articles (New Tool / New AI)

Why it’s suitable: The skeleton of a review is fixed—dimensions, comparison, conclusion. AI can fill in comparison tables row by row without missing items, and can also role-play different perspectives (developer, beginner, budget user) to review from multiple angles. However, hands-on testing must be done by you. AI can only help design the review plan and organize results. If AI tests for you, it’s all fabricated.

Process:

• Define the review subject and dimensions: price, ease of use, effectiveness, target audience.
• Have AI collect official information about the tool and angles from other reviews to find points that haven’t been covered yet.
• Have AI design a checklist of review tasks for you, even directly provide test prompts.
• Test it yourself, record results and take screenshots.
• Feed the test results to AI to write the draft, with comparison tables.
• End with a decision tree: “Choose A if…, choose B if…”

Hot Event Analysis Long Article

Why it’s suitable: When a hot event breaks, everyone is writing about “what happened.” What’s valuable is “what it means.” AI can quickly gather the event timeline, opinions from various sides, and relevant data in minutes. It can also scan competitor articles to find the angles they’ve used and identify the gap. The judgment itself must be yours, but AI handles all the preparation work before the judgment.

Process:

• When a hot event appears, have AI gather the complete timeline, statements from all parties, and hard data.
• Have AI search for articles on the same topic and list existing angles.
• Find the gap: Which angle hasn’t been written yet? What is the consensus? Is there any counter-consensus viewpoint?
• You define the core thesis—this step cannot be outsourced.
• Have AI draft according to your thesis, linking each argument back to primary sources.
• Manually inject your own judgment and experience, remove AI’s filler phrases.
• Publish quickly—the time window for hot analysis is only a day or two.

3. Images: No Barriers, Easiest to Get Results

Even if you can’t use Photoshop, it’s fine. Images are the easiest of the five formats to master. Topics suitable for AI: e-commerce images, creative portraits and pet photos, old photo restoration, covers and posters, and batch illustration for articles.

Why the entire category suits AI?

Because the key to good images isn’t whether you can draw, but whether you can translate “what feeling you want” into instructions AI can execute. The essence of a prompt is a set of aesthetic decisions, not a pile of adjectives.

If you write “premium, minimalist, black and white,” AI often gives you a mediocre cover because these words are not executable. Instead, have AI first make judgments—what is the theme trying to express? What is the most suitable visual anchor? How to combine text and images? Then the result will be right.

E-commerce Images

Christal.Z @better_christal · May 15
Article: Using AI for E-commerce Main Images: From $7/image to $3,000/month Retainer Evolution
Six months ago, I listed “AI product image design, $7/image” on Xianyu.
Now I have two monthly retainer clients paying me 15,000-20,000 each month.
What I do hasn’t changed fundamentally—still helping people create product images. What changed is my positioning, service method, and pricing logic.
… 15 291 4249K

Why it’s suitable: A single product needs a white background image, scene image, model image, detail image. Renting a photography studio for a shoot costs hundreds or thousands. AI covers the entire set.

Process:

• Take a clear product photo on a white background—phone is fine.
• Have AI identify the product category and selling points.
• Use image-to-image to change the product’s scene: place it in a living room, outdoors, on a desk—lighting matches automatically.
• If a model is needed, have AI generate a virtual model holding or wearing the product.
• Batch-produce variations: dozens of scenes for the same product.
• Select images, fix details. Add text and watermarks yourself—AI occasionally messes up text.

Creative Portraits / Pet Photos

Why it’s suitable: The selling point of this type is “style contrast”—turning an ordinary photo into a fashion sketch, a pet into a humanized portrait. It relies not on retouching skills but on a prompt that clearly describes the style. Prompts are reusable: once you nail a good one, it can be applied to all photos.

Process:

• Choose a style direction, e.g., fashion designer sketch, retro film, humanized professional portrait.
• When writing the prompt, emphasize “redraw from scratch” rather than “add a filter”: specify brushstrokes (ink lines plus light watercolor), paper texture (aged yellow), prohibitions (filter-like, 3D render).
• Upload the photo, fill in a few variables: title, aspect ratio, scene mood.
• AI redraws facial features, clothing folds, and scene from scratch—not just overlaying a filter on the original.
• If unsatisfied, only modify the problematic layer in the prompt, don’t rewrite the entire thing.
• Once the style runs smoothly, that prompt is your asset—apply it to photos in batches.

Old Photo Restoration

Bear Sanjin ColeTermMax @x_sanjin · May 2
Real test, true.

Take the old photo restoration I’ve been doing recently as an example. I’ve earned 500+ in half a month

Time-saving and zero cost. List the service on Xianyu, profit per image is 99%.

The prompt and effects are as follows:
Show more
Quote
Huang Xiaomu @ai_xiaomu · May 1
Let me share some AI side hustle real income I’ve verified:

• AI copywriting: 3-30 per piece, self-media monthly share 50-400
• AI short video editing: 7-40 per video, agency operation monthly 400-1100
• AI old photo restoration: 3-7 per image, high emotional value, extremely high repeat purchase rate

Common point: zero cost to start, all tools free, hourly rate 2-7.

Not overnight wealth, but one more backup compared to a regular job.
72 216 1.6K 297K

Why it’s suitable: Restoration is a typical task where “humans can easily judge quality but doing it manually is a pain.” Scratches, fading, blurring—retouchers charge per image, AI does it in seconds.

Process:

• Take a photo or scan of the old image, as flat and evenly lit as possible.
• Have AI do the first round of restoration: remove scratches, creases, fill in missing parts.
• Second round: colorization—black and white to color. You can specify skin and clothing colors in the prompt.
• Third round: high-resolution upscaling and detail sharpening.
• Output a before-and-after comparison image—the traffic secret for restoration content is contrast: damaged on the left, pristine on the right.
• This workflow can get you gigs or can be turned into content: the story behind each photo is a post.

Covers / Posters

Vigo Zhao @VigoCreativeAI · Jun 2
A set of prompt systems, 4 beverage brands, 0 actual photoshoots.

I built a reusable AI prompt template specifically for generating “ice-cold explosive” product posters—the kind you see on subway light boxes and convenience store freezers, making you want to open one and drink.

Deconstruction
Quote
Vigo Zhao @VigoCreativeAI · Jun 10:53
The most annoying thing about AI image generation:
Starting from scratch with prompts every time, and still not stable.

I created something to solve this—
AI Visual Prompt Cookbook.

50+ visual styles, each is a structured style.json.
You don’t need to write prompts, just change variables.
Subject, scene, text, aspect ratio—change these four, and the style is locked.

Previously only on GitHub
x.com/VigoCreativeAI…
Made with AI
18 21 1K 18K

Why it’s suitable: Covers determine click-through rates, but beginners lack layout and font sense. Write these judgments into prompts, and AI handles the visual decisions.

Process:

• Split a long title into three layers: main visual text with only two to six core words, medium text for the full title, small text for subtitle or tags.
• Choose a style based on the theme: tech feel uses diffuse or pixel style, business analysis uses minimalist editorial style, emotional topics use hand-drawn doodle style.
• Have AI first judge “what is the visual anchor of this theme,” then decide how to combine text and images.
• Generate four to six options at once, pick the one with the best composition.
• When you see a nice cover online, feed it to AI to reverse-engineer “the prompt and composition logic of this image” and add it to your style library.

Batch Illustration for Articles

Baoyu @dotey · Jan 16
Article: I wrote a Skill for the Agent to automatically illustrate articles
After writing a long article, finding images is a headache.
You have to think of images one by one, write prompts, generate, select, insert… For a 3000-word article with 5-6 images, this step alone can take half an hour.
I recently tinkered with an Agent Skill that lets the Agent…
72 400 1.5K 661K

Why it’s suitable: A long article needs 5-6 illustrations. Searching a stock library for half an hour may not match the text. AI generates images based on paragraph semantics, matching the content and maintaining a consistent style.

Process:

• Feed the final draft to AI and have it split into paragraphs.
• For each paragraph, generate an image prompt with a unified style prefix to ensure visual consistency across the article.
• Batch-generate images.
• Manually review, re-generate any that don’t match the text.
• Once this workflow becomes a template, illustrating each article will be a ten-minute task.

4. Short Videos: Difficulty Shift from Editing to Workflow

Short videos sound intimidating, but the real challenge is not editing—it’s the entire preceding process: topic selection, script writing, materials gathering, publishing copywriting, and analysis. Editing is just the final step, and the preceding steps are exactly what AI excels at deconstructing. Topics suitable for AI: translated English video repurposing, long video clipping, AI face-swap remixing, original AI short films, and cute pet special effects videos.

First, a general concept: one piece of material does not equal one piece of content. AI can help you break down the same footage into five formats: the counter-intuitive opening for exposure, the step-by-step list for saves, the controversial question for comments, the conversion piece landing on a product tool, and the persona piece incorporating your own judgment. Learn this decomposition, and your material reuse rate can multiply several times.

Translated English Video Repurposing

Slacking Master @SunNeverSetsX · Apr 8
This Claude Code introductory video, sold for $100 on Xianyu, is the best beginner tutorial I’ve ever seen.

Now I’m not only sharing it with you for free, but it’s also in Chinese!

Just sit down and finish this tutorial set, and you’ll learn how to use AI to build workflows, automate, and handle complex tasks.
16 31.3K 5.8K 712K

Translating does not constitute plagiarism. 700K traffic per post, and can be referenced repeatedly.

Why it’s suitable: There’s a vast amount of high-quality overseas content that hasn’t been brought to the Chinese circle. The information gap itself is value. The entire chain—download, subtitle extraction, translation, dubbing, subtitle embedding—each step has an AI tool to handle it. You almost don’t need to know English.

Process:

• Find benchmarks: Go to overseas platforms and look for videos in your niche with good data that haven’t been reposted in Chinese circles yet.
• Download the original video.
• AI extracts subtitles, then translates them into Chinese, polishing for natural spoken language—no translationese.
• Choose a dubbing plan: either AI dubbing to replace the original voice, or keep the original voice with Chinese subtitles overlaid.
• Edit: trim the beginning and end, add Chinese title and cover.
• When publishing, clearly state secondary creation notes and attribute the source to avoid repurposing risks.

Long Video Clipping

Master | Strongest Jungler (Reincarnated) @CryptoMaster_70 · Jun 4
Jensen:
Asian parents’ culture, toxic
I know they love me, I usually “alright, alright…”

Jensen Huang said his true feelings today. It hasn’t been easy along the way.
“Asian parents are toxic, they always correct you.”
“I’m 63, and they still think I’m not good enough.”
200 953 6.9K 767K

Why it’s suitable: A single interview of several hours can be edited into dozens of viral short videos. One video can easily get hundreds of thousands of views.

Manually finding highlights requires watching the entire video. AI reads the full subtitle transcript and directly tells you which segments have conflict, golden quotes, or emotion.

Process:

• Get the long video and extract the full subtitle transcript.
• Have AI read through the transcript and mark highlight segments with timestamps based on “conflict, counter-intuitive viewpoints, golden quotes.”
• Clip by timestamps, each segment around one minute.
• Have AI create a hook title and cover text for each clip.
• Publish in batches, see which one goes viral, then create expanded content around that clip.

AI Face-Swap Remixing

Blog | AI Notes @boke_huang · Jun 6
Article: Using Codex for Video Remixing Project Implementation Case
Many people’s biggest problem with video remixing is not being bad at editing, but lacking a process.

Today, you see a video you like, save it. Tomorrow, you see another, save it again. In the end, your collection folder has hundreds of pieces of content, but you’ve barely published any.
… 49 328 1.4K 559K

Why it’s suitable:

A viral video of a cat dancing—if you replace the cat with a dog, it will still go viral.

A viral video of a beautiful girl dancing—swap the face, and it still goes viral.

The face-swap tools themselves are mature. The real skill is in shot selection and project management—which shots are suitable for swapping, which to skip, and how to record failure reasons. AI can set up this management workflow for you.

Process:

• Have AI create a shot breakdown table for the original video: for each segment, note face size, angle, lighting, motion amplitude, and whether it’s suitable for face-swap.
• Key insight: skip shots where the face is too small, too much profile, or moves too quickly. 90% of poor results come from wrong shot selection, not bad tools.
• First, run a 5-10 second test segment. Check only four things: face stability, lighting consistency, expression smoothness, context clarity.
• If the test passes, run the full video.
• For failed versions, record the specific reason. Next time you select shots, you’ll have a basis for judgment.
• Remixing packaging: title, cover, subtitles, AI remixing description—let AI handle everything in one go.

AI Short Films / Comic Dramas

Lonely Volcano @jimohuoshan · May 28
Rumored to be the highest quality domestic AI comic drama with over a million likes

Watched one episode, indeed impressive
16 424 92.8K 424K

Why it’s suitable: From script to visuals to final film, the entire chain can now be AI-generated. Someone who can’t shoot or edit can produce a film from scratch. Newer video generation models don’t even require storyboard images anymore.

Process:

• Have AI write the script. Require descriptions in plain language for each scene, specify shot type and camera movement at the beginning (e.g., “close-up, slow push-in”), and list voiceover lines in a separate column.
• Use AI to generate a character image for the protagonist, fix it. Changing clothes and scenes becomes an infinite material library.
• Feed the character image and script together to a video generation tool, choose vertical 9:16, and produce the film directly.
• In the editing tool, adjust pacing and add sound effects.
• Publish: The first three seconds determine retention—make the opening strong.
• With characters and style fixed, use the same persona to produce series content in batches.

Pet / Cute Pet Videos

Oliver @indiehackercase · Jun 9
An AI pet blogger: 32 videos, 380K followers. Ad rates 700-2800.

Turned their own life into a story starring a cat, making eating and shopping videos—very creative.
11 161 4438 4K

Why it’s suitable: Cute pets are a universally popular topic. Making pets move used to require animation skills. Now, a photo plus an action prompt is enough.

Process:

• Take a few clear front-facing photos of your pet.
• Choose an action template: dancing, cooking, working, working out.
• Use image-to-video to make the pet in the photo perform the specified action.
• Add upbeat music.
• The same pet with different actions and scenes creates an account that can be updated daily.

5. Long Videos: Longest Chain, Least Competition

Long videos have the longest production chain among the five formats, but because fewer people make them and each video has high value, they are an opportunity for beginners to pick up. Topics suitable for AI: channels with weak visuals but strong copy, movie commentary, AI documentaries.

Why can ordinary people do it? Because the cost structure has changed. In a case I collected, a weak-visual-strong-copy channel achieved over 60 million total views, and each video only took 10-20 minutes to produce—almost zero cost. I’m not saying “you can make X amount of money,” but to show that this path is truly viable for beginners.

Weak Visual, Strong Copy Channels

Why it’s suitable: These videos use image slideshows or simple stock footage, relying entirely on copy. Long-form copy is exactly where AI is most stable. Channels about retirement, history, emotion, and stories all follow this formula.

Process:

• Find a benchmark channel, have AI analyze its videos and extract a dozen style rules: how the opening hooks, pacing speed, tone of voice.
• Use a note tool to batch-analyze multiple benchmark videos and thoroughly understand the formula.
• Have AI generate scripts according to the style rules—experience shows about 2500 words corresponds to a 10-minute video.
• AI dubbing converts the script to voice.
• For visuals, use AI-generated image slideshows or royalty-free stock footage.
• Editing tools can create a video in one click. AI can also generate title, description, and cover text.
• Once one video is successful, batch-produce the same workflow, several videos per day.

Movie Commentary

Luffy AI Researcher @0xluffy_eth · Jun 10
2026: Making movie commentary channels is too profitable.

Douyin and Bilibili have been mature monetization tracks for a while: ad revenue sharing, product sales, sponsorships.

Now with NarratorAI, you can automatically write scripts, dub, and edit with one command, directly generating complete commentary videos.

Before, you could barely produce one a day. Now, batch production for testing viral formulas—essentially turning video money-making into an assembly line.

https://github.com/NarratorAI-Studio/narrator-ai-cli-skill…
61 060 4.5K

Why it’s suitable: The core of commentary is compressing a two-hour film into a ten-minute story. “Narrative compression” is AI’s forte. For dubbing, AI voices are now indistinguishable from human ones.

Process:

• Pick a film: sci-fi, thriller, comedy are proven genres.
• Get the original film and extract the full subtitle transcript.
• Have AI read the full plot and write a 10-minute commentary script: keep the main plotline, cut side branches, front-load suspense.
• AI dubbing, adjust speed and pacing.
• Edit the video according to the script, align visuals with the dubbing.
• Have AI generate title and cover options—suspense-style titles work best in this genre.

AI Documentary

Why it’s suitable: For documentaries about animals, dinosaurs, or historical wars, audiences want stunning visuals plus smooth storytelling—both can be delivered by AI: video generation models for visuals, AI-written and AI-dubbed narration. This content is language-agnostic and can attract global traffic.

Process:

• Choose a topic: prehistoric animals, ancient battles, space science—pick topics with strong visual impact.
• Have AI write an 8-10 minute narration script, following “suspense-filled opening, gradual progression, cliffhanger ending.”
• Break the script into scenes, write one visual prompt for each scene.
• Use video generation models to batch-produce scene footage.
• AI dubbing plus background music.
• Edit and assemble, paying attention to visual consistency between shots—most quality issues come from image material, not the video generation itself.

Conclusion

This issue is an overview, mainly for those still on the fence, introducing what AI can do in content creation, what it can achieve, and roughly how to do it.

By now, you should have a complete picture: five content formats, about twenty specific topics, and the workflow for each.

If you’re interested in this area, I’ll expand on each topic and produce a series of practical AI content creation tutorials:

• News, jokes, reviews, tutorials, hands-on guides
• Video editing, clipping, translation, face swap, comic drama practical tutorials
• E-commerce images, creative images, photo restoration, cover/poster production guides

Beyond specific operations, I’ll also cover a series of tool usages needed in content creation:

• Claude Code/Codex
• How to build a knowledge base for content creation
• How to properly use web scrapers to collect information
• How to effectively use AI plugins and browser extensions
• How to use various content creation Skills
• How to use free content creation tool websites