GORGES
Case study  ·  Teaching and enablement  ·  This year

We teach non-technical people to actually use AI

And we teach it. This year Christopher trained 71 non-technical business owners to use AI on real work, in their own ChatGPT or Claude, taking them from a first prompt to a result they could run themselves. The measure of the teaching is what they walk out able to do.

Taught by Christopher Grant, GORGES Chief AI Officer.
What they walk out able to do

Not just watching a demo, doing it themselves

In a single working session, owners who had never built an automation produced a fully researched outreach list for their own event: not just a name and an email, but credentials, website, best contact route, social channels, recent talks, and a personalized draft message for each contact. They left able to do it again on their own.

71non-technical owners trained this year
0needed a technical background
1working session to a result they run themselves
Speaker research, produced in one session
NameCredentialsWebsiteBest contactSocialRecent talkDraft
Dana EllisonFounder and authordanaellison.comBooking formLinkedIn, YouTube“Momentum after the launch”View draft
Marcus ReedPodcast hostthereedshow.comhello@ emailInstagram, X“Small teams, big output”View draft
Priya NairStudio owner, coachpriyanair.coDM on InstagramInstagram, TikTok“Systems for solo founders”View draft
What a non-technical owner produced in one working session. Example data, fabricated for the demo.
How he teaches it

The way he teaches it is the point

He starts by finding out where each person is and tunes the session to the room. He turns the hard part into one idea people remember, that you ask the tool rather than guess what to command it. He sets expectations with a picture anyone can hold, a brilliant assistant that can do almost anything and still needs your direction. He hands over a repeatable structure and the actual prompts, so people can do it again on their own after he logs off. And he teaches the guardrails alongside the power: keep private information out, and keep a person on anything that sends, publishes, or pays. People leaving able to do it themselves is the difference between adopting AI and buying it.

The prompt framework Christopher teaches (COSTAR)
Context
What the tool needs to know about you and the job.
Objective
The one result you actually want.
Style
How it should be written or built.
Tone
How it should sound.
Audience
Who it is for.
Response
The shape of the output you want back.
The worked example

From one prompt to a whole summit

The worked example is a virtual summit. In front of the room, from a single prompt, the research produced a sheet of more than 100 potential speakers, each with credentials, website, preferred contact method, social channels, recent talks, and a drafted, personalized outreach email, in about 15 minutes. In our own business the same approach runs further: it drafts the outreach in Gmail, and after each interview it pulls the transcript, writes the summary, builds the pages, places the video, and turns the transcript into a linked PDF download, with a person on every action that sends, publishes, or pays.

Everything it produces gets checked. An independent agent quality-checks the output, and we run key pages against audit frameworks we built, so nothing ships unverified.
'We use AI so that we can write our own emails. It does the work we do not need to do, so we can lean into the conversation with our people.'Christopher Grant, GORGES Chief AI Officer

Want your team using AI, not just watching it?

Hands-on training on your real work, plus a written policy for what can and cannot go into an AI tool. Start with a free 20-minute call.

Reach us directly
Call or text 607-280-2010
Email cgrant@gorges.us
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