This is going to be a controversial take, but I stand by it. Feel free to argue in the comments.
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 messy middle
Getting started is easy. Getting to production-ready is hard. The difference is in the details that nobody blogs about because they are boring. But boring is what keeps systems running at 3 AM.
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.
That is everything I know about this topic. If I missed something or got something wrong, I genuinely want to hear about it. Drop a comment or find me on ai7bot.com, clawseo.net.
For more technical reference, check Wikipedia: AI, Anthropic Docs.