How to Automate Viral TikTok Videos

While AI tools can automate much of the viral educational TikTok video creation process, generating high-quality, accurate visuals for complex explanations remains a significant challenge, often requiring manual intervention or stock footage.

• AI excels at generating educational song lyrics and music, with tools like ChatGPT and Suno being highly effective.

• The primary bottleneck for fully automating educational videos is the poor quality and irrelevance of AI-generated visuals for complex scientific explanations.

• A hybrid workflow, combining AI for audio and manual sourcing/editing for visuals, is currently the most viable method for creating these types of videos.

Creating viral science explainer TikTok videos, similar to 'learning with lyrics' accounts, offers a lucrative side hustle, but full automation is not yet feasible for all steps. Generating the song and lyrics can be largely automated with AI tools like ChatGPT and Suno, with careful prompting for style and content. However, sourcing or creating accurate and relevant visual B-roll for scientific concepts proves to be the most difficult part, with current AI video generation tools often producing irrelevant or nonsensical footage, necessitating manual selection of stock footage.

Automating Script & Song Creation

• 00:01:46 The initial steps of creating viral educational videos, including researching topics and writing song lyrics, can be efficiently automated. Using tools like ChatGPT with specific prompts allows for generating thorough yet simple explanations in a poetic format, ensuring clarity and avoiding unwanted metaphors. For music generation, Suno is highlighted as a top choice for creating catchy AI music, despite its lack of an API for direct automation, which means manual interaction is needed to produce the desired musical style and persona for consistent branding.

Challenges in Visuals Generation

• 00:04:56 Obtaining accurate and relevant visuals is identified as the most challenging and least automatable step in creating educational videos. AI tools like Nvidia, Sora 2, Leonardo (with VO3 and Kling models), and even AI-powered B-roll features from platforms like Opus Clip, often fail to generate footage that accurately depicts scientific concepts or matches the narrative. Many AI-generated visuals are either generic, logically incorrect, or completely irrelevant to the script, making them unsuitable for science explainer content.

Current Automation Limitations

• 00:13:38 Despite advancements, AI is not yet capable of fully generating all the necessary shots for educational videos. While tools can assist in rounding up some B-roll, the quality and accuracy of AI-generated imagery for complex explanations are currently insufficient. Creators must often resort to manually sourcing stock footage from royalty-free sites to produce a compelling and accurate explainer video, indicating a significant gap in current AI video generation capabilities for this specific niche.

Hybrid Workflow for Production

• 00:15:04 Achieving an automated workflow involves combining various AI tools, but a completely hands-off approach for high-quality educational videos is not yet possible. Mind Studio, for instance, can automate the entire process from topic research to song creation and even initial visual assembly, but the resulting AI-generated visuals often lack the desired quality and accuracy. A hybrid approach is currently necessary, where AI handles the song and lyrical generation, but human intervention is required to select and splice in appropriate visuals, or to refine AI outputs significantly, for the final product.