faço R$10K/Mês com IA e vou te ensinar de graça tudo que você precisa saber

Business Summary

The presenter describes a low-cost workflow for creating AI-generated TikTok videos, building an audience, and earning through TikTok monetization. The tutorial covers account setup, content research, video production, editing, and ways to reduce the operational risk of relying on a single account.

Business Model and Tools

• The proposed workflow uses ChatGPT/Codex for research and prompts, Google Flow for image and image-to-video generation, and CapCut for editing.
• The presenter estimates an initial outlay of under R$100, assuming access to inexpensive or promotional accounts. He cites examples of Flow accounts at around R$10 and CapCut at around R$13. These prices are anecdotal and may change.
• Flow’s 1,000 credits are estimated to support roughly 3–7 videos, depending on complexity and the number of retries. An 8-second Omni Flash generation is said to cost about 12 credits, while a 10-second generation costs about 15 credits.
• A typical longer AI video may use 12–20 anchor images or scenes. Because generations often need correction or repetition, the credit estimate does not guarantee a specific number of finished videos.

Playbooks and Processes

Account-Building Playbook

• Use short videos to grow an account before it qualifies for monetization. The presenter says monetized videos generally need to be at least one minute long.
• Test formats such as humorous characters, food and animal videos, direct-to-camera hooks, carousels, and niche themes.
• Include a clear hook and call to action, such as inviting viewers to follow.
• Treat these as format ideas, not guaranteed growth tactics.

Content Mining and Pattern Analysis

• Search TikTok directly and watch AI videos through to the end to train the feed toward similar content.
• Review profiles for recent performance, average views, consistency, and video quality—not just one viral post.
• Save promising profiles and videos in a notes file, labeling each video by its pattern.
• Organize patterns, links, and ideas in a Notion library, then adapt them rather than copying mechanically.
• The presenter favors studying international examples and adapting them for local audiences.

AI Video Production Workflow

1. Select a reference video and map its dialogue, context, visual progression, and anchor images.
2. Use a Codex “skill” to produce a storyboard and transcript. If automation is unavailable, take screenshots manually and provide them along with the transcript and context.
3. Decide which characters and visual style to adapt. Generate character references on neutral backgrounds before creating scene images.
4. Generate images scene by scene in Flow. Compare them with the reference and correct prompts when composition, character positions, or other details are wrong.
5. Use start and end frames (“A/B” images) when a scene needs a specific transition. Use multi-shot prompts selectively for more dynamic sequences.
6. Generate image-to-video clips, revise prompts and retry as needed, then number and organize image and video files.
7. Assemble clips in CapCut. Trim pauses, adjust pacing, normalize audio, add music, transitions, captions, and a watermark, then export and post.

Creative Differentiation

• Use personal humor, references, and dialogue rather than relying on generic AI-written scripts.
• The presenter’s example features a recurring character that parodies familiar AI-video story patterns with a darker, more absurd comedic style.
• A separate example adds a new idea to an existing format: characters explicitly wanting to escape someone’s body. The presenter says this helped viewers identify with the scenario and tag people in the video.

Metrics, Targets, and Examples

• The presenter claims that, with consistent effort, a creator might begin earning within 1–3 months, with potential monthly income of R$2,000–R$10,000 or more. This is his estimate, not a substantiated or guaranteed result.
• Examples cited include:
  • A video with 84,000 views.
  • An account with 34,000 followers and individual videos reaching 7–20 million views.
  • A video that reportedly reached 500,000 views on its first day on a German account.

These are anecdotes from the presenter.

• He recommends maintaining at least four monetized accounts as a hedge against takedowns or demonetization. He also describes TikTok payments as arriving on the 15th for activity from the prior monthly period. This is his account of platform operations, not a guarantee of current payment rules.
• For posting, he recommends testing different schedules and tags rather than assuming there is one universally best time or hashtag set.

Operations, Management, and Risks

• Keep project folders, prompts, source images, generated clips, and editing files. The presenter argues that these records can help demonstrate that work was created and edited by the account owner if originality is questioned.
• TikTok may remove or demonetize content it considers disturbing, non-original, or otherwise policy-violating. The presenter says he has experienced takedowns and recommends keeping content within acceptable limits.
• The tutorial also recommends buying platform accounts through marketplaces and discusses using free trials and virtual-card workarounds. These practices can violate platform terms, create account-security and payment risks, and undermine monetization eligibility. Treat the cost and access claims as unverified; use legitimate accounts and follow each platform’s current rules.
• The broader recommendation is to treat AI as a production tool: build a repeatable process, review outputs critically, and improve quality rather than publishing unreviewed generations.

Presenters and Sources

• Presenter: Richard (“Rixardê”), from the rixardê channel.
• Tools and platforms discussed: TikTok, ChatGPT/Codex, Google Flow (including Nano Banana and Omni Flash), CapCut, Notion, GGMax, and GameMarket.
• Examples and references: TikTok AI-video profiles and formats shown by the presenter, plus AI-video examples on YouTube.