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When an AI video comes out wrong, the fix is often not a more elaborate prompt. Start with one clear action, describe what should visibly happen, and change one instruction at a time. These five lessons draw on official prompting and error guidance; they are practical patterns, not personal test results.
1. Start with the motion you need
A long prompt can make it hard to tell which instruction shaped an unexpected clip. Begin with the essential scene and movement, then add details in small increments. Runway’s Gen-4 Video Prompting Guide recommends a simple foundation and separating subject motion, camera motion, scene motion, and style. Adding one element at a time makes it easier to see what improved the result and what introduced a mismatch.
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For example, first ask for a person to walk across a room. If that action works, add a slow camera push. Then, if needed, specify the lighting or visual style. Avoid changing the action, camera, setting, and style all at once: if the clip shifts in an unwanted way, you will not know which change caused it.
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2. Describe visible action in plain terms
Write what the viewer should see, rather than an abstract intention. “The woman smiles and waves” describes observable actions. A phrase such as “embodies a joyful greeting” leaves more room for interpretation.
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This is model-specific guidance, not a universal rule for every generator. Runway advises positive, direct descriptions for Gen-4 and warns that negative phrasing can produce unpredictable or opposite results. When a clip ignores a prohibition such as “no camera movement,” try stating the desired behavior directly—for example, “the camera remains still”—and check the provider’s own advice for the model you are using.
3. In image-to-video, let the image establish the look
An input image already gives the model visual information: the subject, composition, colors, lighting, and style. For image-to-video generation, Runway recommends using the text prompt mainly to direct movement when those details are already established by the image.
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That creates a useful troubleshooting question: does the prompt clarify what should move, or does it repeat and compete with what the image already shows? If the starting image is a close-up portrait, for instance, focus the prompt on the intended movement—such as the subject turning toward the window—rather than restating every visible feature and lighting detail.
4. Simplify before searching for a magic word
A disappointing clip may reflect too many demands, not a missing keyword. Runway cautions that a short video asked to contain multiple scene changes, actions, or style shifts can produce unintended results as the model reconciles those instructions. Its Prompting Guide also notes that very complex prompts can constrain creative freedom and lead to unexpected or unnatural results.
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Reduce the prompt to one scene and its most important action. Generate again, then restore one detail at a time. This is different from removing all useful direction: keep the subject and central movement clear, and temporarily drop secondary actions, transitions, or competing style requests.
Prompting advice also varies by model. Google’s Veo 3.1 API documentation recommends a clear subject, action, and style, with camera, composition, focus, and ambiance details as optional additions. It warns that prompting with multiple videos can degrade performance or produce unexpected results. Those details apply to that API, not to every video generator.
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5. Diagnose an error before generating again
A creative result that misses the brief is not the same as a failed task. If the service displays an error, read its message and consult the provider’s current guidance before spending another generation. Runway’s task failure guide distinguishes safety rejections, invalid media assets, internal quality or system failures, and third-party unavailability. It advises against retrying certain safety or invalid-asset failures; some internal failures may be retried after correction, while a third-party outage is not a reason to retry immediately.
The next step depends on the cause. A safety rejection calls for checking the applicable policy and changing the request if appropriate. An invalid asset calls for checking the file. A system error or unavailable dependency may call for waiting or following the service’s specific retry instructions. These categories and retry rules are provider-specific, so do not assume another generator behaves the same way.
Check current product and model details
Product status and capabilities can change, so older tutorials may point to tools that are no longer available. OpenAI’s Sora safety page states that the Sora product was no longer available as of April 26, 2026. That status is specific to Sora; it is not a statement about other video generators.
Operational details are just as specific. Google’s Veo 3.1 API documentation says its generated videos are stored server-side for two days and use SynthID watermarking; it also notes that audio safety or processing issues can block generation. The same documentation says English is fully supported, while other languages have not been evaluated. Treat these as details of that API rather than general properties of AI-generated video.
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