What if your small business could serve more customers without simply adding more people? AI can do more than write emails, summarize documents, or answer questions.Used properly, it can help you save hours, respond faster, deliver sooner, reduce rework, increase team capacity, and scale without adding operational complexity at the same rate.Start Narrow is a practical guide for founders, managers, and small teams who want to turn AI from an individual productivity tool into a business capability that customers can actually experience.What could change in your business?- Save up to 10 hours per week per employee- Cut routine response times by up to 50%- Deliver routine work up to 30% faster- Reduce repetitive work by up to 30%- Cut avoidable rework by up to 20%- Increase team capacity by up to 20%- Serve more customers without proportional hiring- Reduce dependency on key employees- Adapt to customer demands in days, not weeks- Scale operations without proportional complexityBONUS: 12 hands-on Claude Labs are included to help you put the book into practice as you read it.Instead of spending weeks figuring out how to apply each concept, the Labs take you directly into Claude and help you work on your own business, your own tasks, and your own workflows.You will learn to: - Identify where AI can create genuine business value- Decide what humans should do and what AI should do- Turn individual tasks into repeatable workflows- Build shared team knowledge and instructions- Create reusable Skills and Styles- Connect business information from Gmail and Google Drive- Delegate multi-step work while retaining human review- Measure whether AI is actually improving performance- Decide when automation or an AI agent makes sense- Build practical safeguards for AI-enabled workThe Labs are designed to shorten the gap between reading and doing.This is not another book of AI prompts.It is about a more valuable question: How should your business work when intelligent systems become part of the team?Start with one workflow. Improve what the customer experiences. Measure the result. Then build from what works.
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