For mentors, not clients. These are tools for your own preparation. Never put a client’s confidential information into an AI tool.

AI for SCORE mentors

Used well, AI helps you prepare for a client in an industry you do not know.

Where this fits

You are the client’s thinking partner, not a search engine, so the useful place for AI is before the session, not during it. It is good at getting you oriented in an unfamiliar industry, drafting questions worth asking, and pressure-testing an idea you are unsure about.

It is bad at knowing your client. Anything it tells you about their market, their numbers or Maine regulation needs checking against a real source before you repeat it in a session.

One rule that matters

Client information stays out of AI tools. Do not paste a client’s financials, business plan, personal details or anything they told you in confidence into ChatGPT, Gemini, Claude or anything else. Everything in a mentoring conversation is confidential between the client and SCORE, and typing it into a chatbot is a disclosure.

Ask about the situation in general terms — “what do first-year cash flow problems usually look like for a Maine food truck?” — rather than about the client.

Platforms mentors are using

Three that SCORE mentors have settled on. All three have a free tier that is enough for preparation work.

Chat assistant

Claude

Handles long documents well, which suits reading through a client’s plan structure.

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Detailed prompt sets

Three sets of prompts, written by mentors for mentors. They live in Drive — open them and copy the prompt you need.

Mentoring outside your industry

The most defensible use of AI in this role. Before a session with a business you know nothing about, ask it to brief you:

  • What are the main cost drivers in this kind of business?
  • What usually goes wrong in the first two years?
  • What licences or regulation typically apply, and who regulates it?
  • What questions would an experienced advisor in this field ask first?

Then check anything Maine-specific against a real source. AI is confidently wrong about state regulation more often than it is right.