Before you embed AI into workflows, make sure you can tell which outputs to trust, tweak, or toss.
This is useful. a lot of teams move from ‘it works’ straight to ‘let’s use it’, and skip this layer.
and that’s usually where things break - not in the model, but in how outputs get trusted and used in real workflows.
Thanks for the comment, @Om Prakash Pant! Whether it’s AI or another technology, this step does seem to be the one that gets skipped.
This is useful. a lot of teams move from ‘it works’ straight to ‘let’s use it’, and skip this layer.
and that’s usually where things break - not in the model, but in how outputs get trusted and used in real workflows.
Thanks for the comment, @Om Prakash Pant! Whether it’s AI or another technology, this step does seem to be the one that gets skipped.