Today was less about “building a billion-dollar AI startup” and more about getting clarity on the actual problems businesses are willing to pay to solve. One thing I’m already realizing:Most businesses do not care about “AI.”They care about: - saving time - reducing repetitive work - getting more leads - responding faster - improving operations - making more money So instead of trying to create some flashy AI product immediately, I’m focusing first on identifying painful workflows that can realistically be automated. Today’s focus: - researching service-based business workflows - mapping repetitive operational tasks - exploring automation opportunities in lead management and follow-ups - studying where AI can create immediate ROI instead of “cool demos” I’m also starting to narrow down potential niches instead of trying to target everyone. One mistake I already want to avoid:Being another generic “AI agency” that offers everything to everyone. The goal is to build systems that businesses actually use consistently — not just impressive prototypes. Tomorrow I’ll start working on the first real automation concept and share the process publicly here.

I’ve been complaining about Claude limits for the last few days… But today I noticed something: I was wasting my own usage. Sending messy prompts Repeating the same tasks again and again Not structuring outputs properly Basically using Claude like casual chat instead of automation. And honestly… that’s why I kept hitting limits early. Now I’m trying to: Write more structured prompts Reduce unnecessary calls Reuse outputs wherever possible Already seeing a difference. Curious— What’s ONE change you made that reduced your Claude usage?