AI Engineering12 Aug 20268 min read
Why most AI projects die on the way to production
A demo that works in a meeting room and a system under real load are two different animals. Here are the gaps we see most often, and how to close them.
Read moreWhat we hit, fixed and learned from real systems.
A demo that works in a meeting room and a system under real load are two different animals. Here are the gaps we see most often, and how to close them.
Read moreA step-by-step approach to finding the leaks — instance sizing, log retention and egress charges.
Read moreThe checklist we run against every LLM system, from prompt injection to data exfiltration through tools.
Read moreHow to replace an old system gradually without stopping the business, using the strangler fig pattern in practice.
Read moreTell us the short version and we will come back within one business day with a genuinely useful technical view.