Fair warning: this is a long one. Grab coffee. Or tea. Or whatever keeps you reading.
Background
Before I get into the results, you need to understand the starting point. Every case study that skips context is useless because you cannot assess whether the results apply to your situation.
The reality check
Most people approach this wrong. They start with the tools instead of the problem. Before you touch any software, write down exactly what you want to accomplish. If you cannot explain it in one sentence, you are not ready to implement it.
Results
Numbers. Real, unembellished numbers. I am including the failures alongside the successes because cherry-picking wins is dishonest and unhelpful.
What I would do differently
Hindsight is 20/20, but some lessons only become clear after the fact. If I were starting from scratch today, here is what I would change.
TL;DR: start simple, measure everything, iterate based on data not feelings. The TechCrunch AI, Hugging Face docs are worth reading if you want to go deeper. Also worth checking: clawgo.net, clawdev.net.