How Do You Know When Your AI Workflow Is Safe to Ship?

Описание и применение

<h1> How Do You Know When Your AI Workflow Is Safe to Ship? </h1> <p>You built an AI workflow. It works in testing. Your team reviewed the prompts. The demo went fine.</p> <p>So you ship it. And within a week, something breaks. Leads get assigned to the wrong rep. An agent calls a tool that doesn't exist anymore. The workflow that took 30 seconds in testing now takes 4 minutes, or never finishes at all.</p> <p>I've seen this pattern repeat across teams of 5, 50, and 500. The workflow passes code review. The demo goes well in a 30-minute sprint review. Then it meets real production traffic and

Задача

<h1> How Do You Know When Your AI Workflow Is Safe to Ship? </h1> <p>You built an AI workflow. It works in testing. Your team reviewed the prompts. The demo went fine.</p> <p>So you ship it. And within a week, something breaks. Leads get assigned to the wrong rep. An agent calls a tool that doesn't exist anymore. The workflow that took 30 seconds in testing now takes 4 minutes, or never finishes at all.</p> <p>I've seen this pattern repeat across teams of 5, 50, and 500. The workflow passes code review. The demo goes well in a 30-minute sprint review. Then it meets real production traffic and

Результат

<h1> How Do You Know When Your AI Workflow Is Safe to Ship? </h1> <p>You built an AI workflow. It works in testing. Your team reviewed the prompts. The demo went fine.</p> <p>So you ship it. And within a week, something breaks. Leads get assigned to the wrong rep. An agent calls a tool that doesn't exist anymore. The workflow that took 30 seconds in testing now takes 4 minutes, or never finishes at all.</p> <p>I've seen this pattern repeat across teams of 5, 50, and 500. The workflow passes code review. The demo goes well in a 30-minute sprint review. Then it meets real production traffic and

Доказательства

How Do You Know When Your AI Workflow Is Safe to Ship?

Источник