Kieran Flanagan Explores AI Video Prototyping with VEO 3.1

In a recent LinkedIn post, Kieran Flanagan discusses his experience using VEO 3.1 for video concept prototyping, highlighting the rapid iteration possible with current AI tools. Flanagan shared his process, which he outlines as a progression from initial idea generation to final output.

Flanagan detailed the steps involved in his workflow, stating:

“It goes Idea -> Storyboard -> Reference Images -> Veo3.1 iteration”

The AI Video Prototyping Workflow

Kieran Flanagan’s exploration of VEO 3.1 illustrates a burgeoning trend in digital content creation: the ability to quickly prototype video concepts using artificial intelligence. He described the initial phase of his process, which begins with a core idea, followed by the development of a storyboard and the gathering of reference images. These elements then feed into the AI tool for iteration.

While acknowledging the current limitations of AI in video production, Flanagan emphasized the utility of these tools for early-stage development. As he notes:

“Not Hollywood production quality yet!”

This candid observation underscores the reality of AI-generated video; it’s a powerful tool for visualization and iteration, but not yet a replacement for high-end professional production. However, Flanagan sees significant value in this capability for concept validation and refinement.

Prototyping as a Catalyst for Expert Production

A key takeaway from Flanagan’s post is the potential for AI-driven prototyping to streamline the pre-production phase for video advertising and other visual content. He argues that the ability to quickly generate visual representations of an idea can significantly de-risk the investment in professional production.

According to Flanagan, the process validates the concept before committing significant resources. He highlights this strategic advantage:

“But it does again highlight, you can now prototype a concept, even a video ad, and then have an expert do it.”

This approach suggests a collaborative future where AI tools serve as powerful assistants to human creativity and expertise. By allowing creators to rapidly test and refine ideas, AI can lead to more focused and effective final productions executed by skilled professionals. Flanagan’s experiment with VEO 3.1, though a “first real effort,” provides a glimpse into this evolving landscape of content creation, where AI accelerates the journey from concept to tangible output.