GoKawiilEntrepreneur op-ed outlines 5-step method to train AI assistants like new hires
An Entrepreneur contributor argues that most business owners misuse AI tools like ChatGPT, Gemini and Claude by treating them as static software rather than trainable assistants. The piece proposes a five-step iterative coaching process—starting with a clear job brief, assigning real tasks, giving specific feedback, auditing changes, and repeating the cycle—to turn generic chatbots into reliable business tools.
GoKawiil's interpretation of the reporting above, not reported fact.
As AI assistants become common in small businesses, how they're prompted and managed determines whether they save time or waste it. This framework reflects a broader shift in AI adoption: success depends less on the model's raw capability and more on user methodology and iterative refinement.
- Static, one-shot prompts often produce flawed AI outputs that frustrate users.
- An iterative coaching approach—brief, test, feedback, audit, repeat—improves reliability.
- Treating AI like a trainable new hire rather than configured software yields better results.
Co-Intelligence: Living and Working with AI by Ethan Mollick — This book makes the same core argument as the article: treat AI like a capable but flawed collaborator you coach, not software you configure. Mollick walks through practical ways to assign real tasks, critique the first draft and iterate toward reliable results — exactly the workflow entrepreneurs need to get value out of ChatGPT, Claude or Gemini.
See Co-Intelligence: Living and Working with AI by Ethan Mollick on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: entrepreneur.com — Jason Barnard, 2026-08-28
Published there as: “Is Your AI Assistant More Frustrating Than Helpful? Here’s How to Make It Truly Useful.”
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