Step-by-step customisation tutorial for Kling AI

[islaonfan]

This tutorial shows a simple repeatable way to work with Kling AI while focusing on customisation.

Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start.

Step 2: Prepare a small representative example. Test with something easy to inspect before scaling the workflow up.

Step 3: Configure the tool or prompt around customisation. Change one important setting at a time and keep a copy of the result.

Step 4: Check useful tools. Verify factual claims, code, links, files, or generated media before relying on the output.

Step 5: Save the version that worked and turn it into a reusable template. Repeat the same test with a few different examples to make sure the result is consistent.

 

[daisyide]

Have you tried isolating step from the rest of the workflow? That would be my first test, because it makes it much easier to see where the problem is coming from. You can always make it more sophisticated once the basic version is stable. The part about "This tutorial shows a simple repeatable way to work with Kling AI while focusing on customisation. Step 1: Define the r…" is the bit I would test first.