customisation tutorial: a practical AI Red Teaming workflow

[chloe3152]

This tutorial shows a simple repeatable way to work with AI Red Teaming 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.

 

[elliot122]

One thing worth trying with customisation tutorial: a practical AI Red Teaming workflow is a controlled comparison around step and customisation. Use the same input for each test and note what changes in the output rather than judging from a single run. The original point — "This tutorial shows a simple repeatable way to work with AI Red Teaming while focusing on customisation. Step 1: Define the result you want. Write down the output format, quality…" — gives a useful starting point for that comparison.