Browse the latest posts in this category.
Most AI processing pipelines look like they work until one crash reveals they have been silently duplicating data, swallowing failures, and pretending retries are safe. This is the full story of breaking a production pipeline and rebuilding it the right way.
Part 1 covered what to store and how to retrieve it. Part 2 covers what breaks when real users arrive — and how production systems like Perplexity and ChatGPT are actually wired to handle it
Most RAG tutorials show you how to build something that works in a notebook. This one shows you what it takes to make it work when a real user shows up.