Post by allintalent

You're asking for three questions your team didn't hear six months ago. But you're hearing them every single day now. Six months ago, the market panicked about sourcing AI talent. Today, the panic is about screening it. Here's what's hitting founders' discovery calls this month: 1. "How do we evaluate an automation engineer without a senior operator to screen them?" LeetCode doesn't catch engineering fraud. You aren't testing theoretical data science; you're testing if their code runs at 3 AM when a vendor silently changes an API format. 2. "Do we need a specialist, or can generalists just stack n8n onto their workload?" Founders assumed AI was just a feature to learn on the fly. But generalists build fragile, undocumented hacks. Specialists build systems that actually return 20+ hours a week to your operations. 3. "Is our job description screening for the role we actually need?" Copy-pasting enterprise data science templates attracts theorists who never ship to production. It's a definition problem, not a supply problem. When discovery call questions shift this fast, your strategy isn't broken. Your market understanding is maturing. Which of these three is stalling your technical roadmap?