Live class resource

Turn a Discovery Call into a Proposal

Massachusetts AI Coalition. Boston. September 17, 2026.

Everything from tonight is on this page.

Reed Jones, The AI Department

Start here

Working along with me tonight

  1. 1Copy Prompt 2 below.
  2. 2Grab the sample transcript, or use your own call.
  3. 3Paste both into Claude, ChatGPT, or Gemini.

If you did not bring a call of your own, use the sample.

What you are looking for in a transcript

Every prompt on this page is built around the same filter. If a detail does not map to productivity, reputation, or profitability, it is either a constraint or it is noise.

Pain.

How they describe the problem, in their words.

Outcome.

What fixed looks like to them.

Constraints.

Budget, timing, policy, past bad experiences.

Trust.

Who decides, and what they volunteered without being asked.

Gaps.

What a proposal needs that the call never gave you.

Everything maps to productivity, reputation, or profitability. If it maps to none of them, it is a constraint or it is noise.

Before you record anything

  1. Ask. Say what it is for. “I record these so I can write you an accurate proposal instead of a vague one.”
  2. Know where the transcript goes. Which tool, whose servers, what happens to it afterward.
  3. Take out what the tool does not need. Health information, account numbers, anything about a third party who was not on the call.
  4. Use approved tools and follow governance. Your employer's policy, your client's requirements, and any rules that cover your industry beat your preference.
  5. You sign it, so you verify it. Every price, date, scope line, and promise gets human eyes.

Get the prompts

Add your name and email and the four prompts, the sample transcript, and the tool list open up on this page.

Did something work?

If you use this on a client call, I would like to hear about it.

Can I share this publicly? Required

About Reed

Reed Jones is the founder and Chief AI Officer of The AI Department, where she helps women-led businesses and small teams put AI to work without losing their voice. She taught this class free for the Massachusetts AI Coalition. Broadcast background, which is why she cares how things sound.

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