Could AI video production change how creators make content? EtoeyEjan found a faster way to create content while generating 315,430 impressions.

AI video production is changing how creators turn ideas into finished content, and Thai documentary channel EtoeyEjan is showing what that shift can look like in practice. Working with AnyMind Group, the channel cut production time from about a week to just 2–4 days per episode while generating 315,430 additional impressions.

A week of production became just a few days

EtoeyEjan, which grew from the Ejan news outlet, focuses on helping people reconnect with long-lost family members and loved ones. As its audience expanded, the channel wanted to create more serialized content without allowing production costs and timelines to grow with it.

Its three-episode “Miracle of Love” series exposed that problem clearly. Traditional production required locations, actors, physical shoots and extensive post-production, making each episode a time-consuming process.

AnyMind Group saw an opportunity to use generative AI to remove some of those difficulties while keeping the storytelling under human control.

Could AI help creators reach more viewers without losing their voice?

The solution was a semi-automated workflow built around scene generation and movement generation. These tools reduced the need for physical shoots and heavy CGI rendering, while EtoeyEjan’s production team received prompt engineering training to improve how they directed the AI.

The rollout began with a pilot video. After testing the tools and refining the workflow, the team addressed issues such as character consistency before expanding the process across the series.

“AI should not be used to replace the creator’s vision, but rather to lower the barrier of execution,” AnyMind Group explained.

The results showed how that approach could affect both production and audience response. Production time fell by more than 50%, from one week to 2–4 days per episode. The series also delivered 315,430 impressions, well above its 200,000 target.

Engagement increased by 2.2%, suggesting that viewers responded positively to the AI-assisted content. Lower production costs also improved the return on investment per episode, changing the economics of producing the series.

The human editor still has an important role

The experiment also exposed a current limitation of AI video production. Keeping faces, bodies and characters perfectly consistent across different scenes remains difficult. Editors therefore had to review outputs, test different approaches and adjust sequences to maintain visual continuity. Prompt engineering became an important part of the process because better instructions helped translate the creators’ ideas into usable visuals.

For EtoeyEjan, the workflow has already led to requests for support on additional episodes. As Business Fortune believes, creators look for faster ways to produce engaging stories, the bigger question may no longer be whether AI belongs in video production, but how far human creativity can take it next.