6 posts
A workflow that double-charges a customer on retry, or loses 40 minutes of progress on a crash, isn't reliable. Here's the toolkit that actually fixes both.
The demo always works. RAND found over 80% of AI projects still fail, and MIT found 95% of pilots never show up on the P&L. Here's exactly where they die.
A second agent isn't a feature, it's infrastructure you now maintain and pay for. When that trade genuinely pays off, and the honest cases where it doesn't.
No single model satisfies every workload. Real companies now route requests across fast, reasoning, vision, and local models instead of picking just one.
'Application plus LLM' was never the architecture, it was the demo. Here's the eight-layer stack a real AI system actually needs, and a map to every layer.
The model call is the easy 5%. Here's the architecture, security, cost, monitoring, and reliability work that turns a demo into a system you can trust.
