Claude, for owners who don't know where to start.
Most owners try AI once on the wrong question and walk away. The fix is starting from the four use cases that always pay back.
If you've poked at Claude or ChatGPT once and walked away unimpressed, the problem is almost always the same: you asked it something generic and got something generic back. "What should I post on LinkedIn this week" returns slop. "Read these last 10 emails I sent and write a LinkedIn post in my voice about the most repeated theme" returns gold.
The fix is starting from the right four use cases.
Four wins to start with
The email you've been putting off. Paste the context, tell Claude the tone you want, ship the draft. The reason this is a great first use case is the bar is low (you weren't going to write it today anyway) and the saved time is real.
The messy document you've been avoiding. A contract you need to skim, a supplier proposal you don't fully understand, a tax letter that's giving you anxiety. Paste it and ask Claude to summarize the action items in 5 bullets. You'll usually find that the document is simpler than it looked, and the worst case takes 30 seconds instead of 30 minutes.
The decision you're chewing on. Give Claude the choice you're weighing in full context and ask it to argue both sides hard. Read both. Make the decision yourself. The point isn't that Claude decides for you. It's that you've had the argument out before committing.
The thing you'd normally try to explain in three calls. Whatever you'd brief a contractor or new hire about, write it once into Claude and ask it to produce a clean scope doc, brief, or onboarding page. That doc then saves you ten future calls.
What changes after a week
After a few wins like these, the question stops being "should I be using AI" and becomes "what else can I run through it." That's the right place to be. Once you're there, the next move is to start storing your brand context, customer voice, and house style somewhere Claude can pull from on every conversation. Then the workflow gets fast.
The trap to avoid
The trap is trying AI on one big strategic question, getting a half-decent answer, and concluding the whole category is overhyped. AI doesn't shine on the moonshot questions. It shines on the 50 small jobs you do every week.
Pick the 50 small jobs. Stack the wins. The big-question conversations get easier when you've earned the muscle on the small ones.