AI Video Creation: How to Use AI Tools to Make Dynamic Videos

To create video using AI tools, individuals can follow a structured workflow that synthesizes text-based ideation with visual generation and animation. This process bypasses the need for traditional drawing, animation skills, or expensive software, leveraging “just a few free AI tools working together to create cinematic story videos that people cannot stop watching.”

This multi-tool method simplifies the complexities of video production, enabling the rapid generation of content for platforms like YouTube, TikTok, and Instagram, where it often garners millions of views.

Leveraging AI for Video: The Step-by-Step Workflow

The journey from a video concept to a finished clip begins with text-based artificial intelligence, which serves as the foundational ideation and storyboarding engine. Tools such as Claude AI, ChatGPT, or Gemini are instrumental in this initial phase. A common starting point involves a pre-prepared master prompt template.

Users copy this comprehensive prompt and paste it into a chosen text AI, like Claude AI, to initiate content generation. Claude AI, for example, can then yield “10 fresh high retention ideas mixed across different categories,” offering a diverse range of concepts from survival guides to tech repair.

Once a core idea is selected, such as “How to weave a waterproof shelter roof from forest branches,” the text AI refines this concept into a detailed storyboard.

During this refinement, users specify the desired video duration, often tailored to the capabilities of the animation tool. For instance, 10 seconds is optimized for platforms like VO 3.1 (spelling uncertain) or Omniflash, while 15 seconds is more suitable for tools like CADS (spelling uncertain).

An optional step involves uploading an AI avatar if the creator wishes to feature a consistent character or personal brand in the video. The text AI subsequently generates an image prompt for the visual component and a separate animation prompt for the video itself.

The next critical phase bridges the textual storyboard with visual execution. The image prompt, generated by the text AI, is then transferred to an image-generation AI, commonly Gemini.

Here, the prompt is pasted, and the AI avatar (if selected) is attached to ensure its inclusion in the visual. Gemini processes this input to produce a storyboard image, which users then download to their computer. This image forms the static base for the eventual animation.

With the storyboard image ready, the workflow moves to animation. Platforms like labs.google, which hosts services like Omniflash or Flow (spelling uncertain), become central. Users initiate a new project, often toggling off agent mode, and upload their downloaded storyboard image.

Concurrently, they retrieve the animation prompt generated earlier by Claude AI and paste it into the animation tool. Before generating the video, settings such as the output format (video), aspect ratio (typically 16x9), and duration (e.g., 10 seconds) are confirmed. The tool then transforms the static image into a dynamic video clip based on the animation prompt.

This entire process is repeatable, allowing creators to generate multiple videos. For example, a second idea like “how to fix a cracked phone screen protector in a swipe” can follow the same sequence, starting a new chat in Gemini for image generation and then animating it in Flow.