How to Read and Test AI Models
Begin with the developer's official documentation and identify supported inputs, outputs, duration, resolution and licensing. A model name or year is insufficient evidence of suitability. Record the review date because availability and specifications change.
Read a model page before choosing it
Begin with the developer's official documentation and identify supported inputs, outputs, duration, resolution and licensing. A model name or year is insufficient evidence of suitability. Record the review date because availability and specifications change.
Prepare a short task representing your work: stable identity, a hand-object interaction and one camera path. Inspect continuity, then compare total time and corrections with another option. A benchmark result applies only within the task and conditions measured.
A reviewable evaluation workflow
Define the task
Specify a reviewable output and identify the necessary references, source assets and settings before testing.
Compare outcomes
Keep inputs consistent where possible and record changes that visibly affect the result. Preserve examples that explain the decision.
Review and deliver
Open the final output in its intended context and inspect image, text, sound and rights. Recheck official documentation when service options change.
Apply the method to image and video work
Start with action, camera and lighting in the video library, or select one concrete edit from the image guide. The examples are editable starting points. Evaluate the output against the actual task rather than the prompt label.
Explore the prompt libraries