Creating AI-generated videos in 2026 is surprisingly accessible. You do not need video editing experience, expensive software, or technical knowledge. All you need is a clear idea of what you want to create and access to an AI video platform.
This guide walks you through the entire process from writing your first prompt to downloading a finished video, with practical tips that will save you hours of trial and error.
Step 1: Choose your platform
For beginners, the most important factors are ease of use and access to quality models. Platforms that aggregate multiple AI models — like Tona.AI — let you experiment with different generators without creating accounts on each one separately.
Start with a platform that offers a free tier so you can practice without financial commitment. Look for one that includes both image and video generation, since you will want to create reference images before generating video.
Step 2: Understand how AI video prompts work
An AI video prompt is a text description of the video you want to create. The quality of your prompt directly determines the quality of your output. Think of it as directing a cinematographer who has never seen your vision — you need to be specific about everything.
A good prompt includes four elements: the subject (what is in the scene), the action (what is happening), the camera work (how the shot is framed), and the style (what mood or look you want). For example: "A woman in a red coat walks through a snow-covered Tokyo street at night. Cinematic tracking shot from the side. Warm lamplight reflections on wet pavement. 4K, shallow depth of field."
Step 3: Start with images, then move to video
Before spending video credits, generate a few images of your scene concept. Image generation is faster and cheaper, letting you test whether the AI understands your vision. Once you have an image that matches what you want, you can use it as a reference frame for video generation.
Most platforms support image-to-video generation, where you upload a starting image and the AI animates it. This gives you much more control over the final result than text-to-video alone.
Step 4: Choose the right model for your content
Different AI models excel at different types of content. For realistic human scenes and multi-shot sequences, Kling 3.0 is currently the strongest option. For smooth camera movements and cinematic B-roll, Google Veo produces beautiful results. For stylized and creative content, models like Runway Gen-4 offer more artistic flexibility.
On platforms like Tona.AI, you can switch between models easily. Start by testing the same prompt on 2-3 different models to see which produces the look you prefer.
Step 5: Master the key settings
Resolution: Higher is not always better. For social media (Instagram Reels, TikTok), 720p or 1080p is sufficient and generates faster. Use 4K only when the content will be viewed on large screens.
Duration: Start with 5-second clips. Short clips have higher consistency and fewer artifacts. You can extend or combine clips later. Most platforms support video extension features.
Aspect ratio: Use 16:9 for YouTube and landscape content, 9:16 for Instagram Reels and TikTok, 1:1 for Instagram feed posts. Set this before generating — changing aspect ratio after generation requires starting over.
Step 6: Iterate and refine
Your first generation will rarely be perfect. AI video generation typically has a 30-60% success rate for exactly matching your vision. The key is iterating: adjust your prompt based on what the AI got wrong, regenerate, and compare results.
Common fixes: if the AI ignores part of your prompt, put that element at the beginning. If motion is too fast, add "slow, gentle movement" to your description. If the style is wrong, be more explicit about lighting and color palette.
Step 7: Edit and combine clips
For anything longer than a single shot, you will need to combine multiple AI-generated clips. Free video editors like CapCut or DaVinci Resolve work well for basic editing. Add transitions, music, and text overlays to create a polished final product.
Advanced tip: use Kling 3.0's start and end frame feature to ensure visual consistency between clips. Generate the last frame of clip 1, then use it as the first frame of clip 2.
Common mistakes beginners make
Writing vague prompts is the number one mistake. "A cool video of a city" will produce generic results. Be specific about time of day, weather, camera angle, and movement.
The second mistake is generating at maximum settings immediately. Start with lower resolution and shorter duration to test your concept cheaply, then regenerate at full quality once you have the prompt dialed in.
The third mistake is expecting one tool to do everything. Different models have different strengths. Learn which model works best for each type of content, and use a multi-model platform to access them all efficiently.
Next steps
Once you are comfortable generating individual clips, explore advanced techniques: first and last frame control for scene transitions, motion control for camera movements, and multi-shot storyboards for narrative content. Platforms like Tona.AI provide access to all these features across multiple AI models, making them a great home base for growing your AI video skills.