Your team has a prototype. It can answer questions, call a tool, and impress people in a demo. Then the substantial work begins. The prompt changes in staging but nobody knows why production behaves differently. Costs drift upward. A support workflow works for one...
Your app probably isn't broken. It's just starting to feel slow in the ways buyers notice first. Support teams still copy and paste answers. Product managers still wait on analysts for basic pattern spotting. Customers compare your experience to newer apps...
Your team just launched a new AI feature, but the results are all over the place. One user gets a brilliant response, while the next gets something completely unusable. Sound familiar? Ad-hoc prompting creates inconsistent behavior, brittle user experiences, and a...
Your competitors are shipping AI features into apps your customers already use. A support inbox now suggests replies. A fintech dashboard flags suspicious activity before a human reviews it. A healthcare portal personalizes guidance instead of serving the same static...
Your team ships an AI feature. Internal demos look sharp. The pilot users seem happy. Then production starts doing what production always does. It introduces messy inputs, strange edge cases, latency spikes, retries, stale data, and users who don't behave like...
