For a solo or tiny team, AI is the closest thing to hiring a junior teammate for every role at once — engineer, marketer, support rep, researcher. Used well, it widens what one person can ship. Used lazily, it floods the internet with forgettable slop. The difference is judgement.
Where it actually helps
- Building: scaffolding, boilerplate, tests, debugging and learning an unfamiliar API far faster.
- Marketing: first drafts, turning one post into ten, keyword and competitor research, ad variations to test.
- Support & ops: drafting replies, summarising feedback, triaging the inbox, turning docs into an FAQ.
- Thinking: a tireless sparring partner for pressure-testing positioning, pricing and plans.
Keep a human in the loop
AI is a force multiplier, not an autopilot. It's confidently wrong often enough that you have to stay the editor: ship nothing you haven't checked, and don't let it talk to customers unsupervised in the early days. The point is to do more of the work that needs a human by handing it less of the work that doesn't.
Don't automate the unscalable too early
The manual, unscalable work that wins your first customers — the personal onboarding calls, the hand-written emails — is exactly where you learn what to build. Automate it once you understand it, not before.
Use AI to clear the grunt work so you can spend more time on the two things it can't do for you: talking to customers and deciding what to build. Leverage is the goal; slop is the failure mode.