There’s been a lot of buzz about AI copilots that turn plain language descriptions into ready-to-run automations. The value prop is obvious: describe what you want, get a workflow you can deploy.
I’m skeptical because there’s always a gap between “close enough” and “production-ready.” A workflow that mostly works isn’t useful if it fails on the edge cases you actually care about.
The question I have: when you describe something like “flag compliance issues in real-time and generate reports,” does the AI copilot generate something that actually works end-to-end? Or does it generate a good starting point that your team then spends the next week customizing?
I’m trying to understand the realistic effort here. If it genuinely cuts development time from two weeks to two days, that’s transformational. If it cuts development time from two weeks to one week, that’s useful but not revolutionary.
Has anyone actually used this feature end-to-end? What did the process look like from initial description through production deployment? And where did you find yourself rebuilding versus where the scaffolding actually held up?