❌ Mistakes I Made in AI & Automation (So You Don’t Have To)
When I first started building with AI and automation, I thought I had it all figured out. But looking back, I made mistakes that cost me time, clients, and money. Here are the 5 biggest ones I’d love others here to avoid: Chasing shiny tools instead of solving problemsI wasted weeks testing every new AI app, instead of focusing on the 1–2 tools that actually fit my clients’ needs. Automating chaosIf a process is broken, automation just makes it break faster. I learned the hard way that you need to fix the workflow first. Skipping documentationI built “cool” automations that nobody else could understand or maintain. Without clear SOPs, clients got frustrated. Over-promising resultsEarly on, I assumed AI could “do everything.” Wrong. Setting realistic expectations builds more trust than overselling. Ignoring data qualityI once built a system that automated client outreach… only to realize the contact list was outdated. Garbage in, garbage out. 👉 The lesson: AI and automation aren’t about flashy tools—they’re about strategy, clean systems, and real business impact I’m curious — what’s the biggest mistake you’ve made (or seen others make) with AI and automation? Let’s share so we can all skip a few headaches.