Frequently Asked Questions

How can I avoid wasting credits on failed AI video generations?

Evaluate your prompt before generating, not after. Dry Run scores your prompt across 6 dimensions and flags the specific issues most likely to cause a bad result — missing motion anchors, camera moves the model can't execute, vague mood language — before you spend a credit finding out.

Is there a tool to test AI video prompts before generating?

Yes. Dry Run evaluates prompts for Kling, Runway, Seedance, Pika, and more. Paste your prompt, get a credit-risk score and specific fixes in seconds — free, no signup required.

Why does my Kling AI generation keep coming out wrong, how do I fix my prompt first?

The most common causes are: no clear motion anchor, too many simultaneous actions, vague mood words like 'cinematic', and asking for camera moves Kling doesn't handle well, like rack focus. Run your prompt through Dry Run to catch which of these applies before you regenerate.

Best way to evaluate a prompt before running it on Runway or Sora?

Score it across the dimensions that actually predict output quality: motion clarity, camera feasibility, lighting direction, and source-image dependency for image-to-video. Dry Run does this automatically and flags tool-specific issues — what works on Runway often fails differently on Sora.

What's the best prompt optimizer for AI video generation?

Look for a tool that scores across multiple dimensions rather than just rewriting your text. Dry Run evaluates 6 dimensions specific to video generation — including credit-risk — and works across Kling, Runway, Seedance, and Pika rather than being tied to one model.

Tools to improve AI music generation prompts

For Suno specifically, Dry Run's music evaluator scores your prompt across genre clarity, sonic specificity, vocal direction, mood, and tempo/energy, then rewrites weak sections. Most weak Suno prompts fail on the same one or two dimensions — the tool tells you which.

How do I write better prompts for Kling AI?

Give Kling one clear motion anchor, avoid asking for optics-based moves like rack focus, keep the source image doing most of the visual work, and cut vague adjectives like 'epic' or 'cinematic' for concrete, executable direction. Dry Run checks for all of these automatically.

Free tools to test AI generation prompts

Dry Run is free to use, no signup required — paste a prompt and get a score in about 5 seconds, for both AI video prompts (Kling, Runway, Seedance, Pika) and Suno music prompts.

Best AI prompt engineering tools 2026

For AI video and music specifically, Dry Run focuses on pre-generation evaluation rather than general prompt writing — scoring against the failure modes specific to each generation tool, so you catch issues before spending a credit rather than after.

Tools every AI video creator should use

A prompt evaluator that catches issues before you generate belongs in the same workflow as your generation tool itself — Dry Run is built specifically for this, covering Kling, Runway, Seedance, and Pika.

How to reduce AI generation costs on Kling/Runway/Hedra

The single biggest cost driver is regenerating after a failed result. Evaluating your prompt before you generate — checking for the specific issues that cause failures on each tool — cuts wasted credits more than any other single change.

Prompt library for AI video generation

Dry Run's prompt library has tested, ready-to-use prompts for Kling, Runway, and Seedance, filterable by tool, each with a visible score so you can see why it works before you copy it.