Kevin Nash | AI Transition Partner

New AI drops → what you can build and sell with it. Night-shift corrections sergeant running a business with AI employees. $1,100/mo → $1M, in public.

[Kevin Nash | AI Transition Partner @KNash56325]

New AI drops almost every day.

Most people read the headline and go back to scrolling.

I ask one question every time:

What could someone build and sell with this?

Here's who's asking.

I'm a corrections sergeant. I work 6 PM to 6 AM.

My phone stays locked in my truck all night.

I sleep until 2.

In the hours I have left, I'm building a business with AI.

It makes about $1,100 a month right now.

My goal is $1M by the end of 2027.

I can't do that alone, and I don't have the hours.

So I built a team of AI employees.

They draft. They build. They report back.

I make the calls.

Here's what you'll get if you follow:

1. New models and tools the day they drop. What they do, with the source.
2. What you could build or sell with each one.
3. Playbooks for turning a passion into a small AI business.
4. What my AI employees actually did this week.
5. My real numbers on the way from $1,100 to $1M.

Almost 8 years in corrections taught me one rule.

If it isn't written down, it didn't happen.

So I write it all down. Here.

You don't need more time to start.

You need AI doing the hours you don't have.

I'm doing it around a night shift.

You can do it around yours.

[Kevin Nash | AI Transition Partner @KNash56325]

One test on the list for Jessica, the AI receptionist I'm building, is a caller who tries to talk her out of her own rules.

He says the owner already told him it was fine. He's friendly about it. He'd just like the appointment confirmed tonight.

To pass, she has to stay polite and confirm nothing the calendar doesn't show. The decision stays with the owner.

Smooth talkers cost real money. The FTC says Americans filed 3 million fraud reports in 2025 and reported losing $15.9 billion.

A receptionist that bends for a pleasant voice will bend for a scammer too.

If you'd like to hear how a receptionist handles your kind of calls, dial 989-467-3899.

[Kevin Nash | AI Transition Partner @KNash56325]

Gartner surveyed 5,728 customers and found that 64% would rather companies not use AI for customer service. Their biggest worry was that it would get harder to reach a person.

That worry is fair. Most of us have been stuck in a phone menu that wouldn't let us out.

A small business can avoid that with one rule. When a caller asks for a person, the AI stops trying to solve it and gets the owner a message with the name, the number and the problem.

The phone tree gave AI a bad name long before AI ever answered a phone.

To judge an AI receptionist for yourself, call the demo line at 989-467-3899.

[Kevin Nash | AI Transition Partner @KNash56325]

Google announced Gemini 4 Carbon yesterday, and almost nobody reading this can use it yet.

What it is: Google calls it its most capable model so far, built for cybersecurity work and for coding jobs that run for hours or days.

What changed: Google says it scored 59 on the Artificial Analysis Intelligence Index, which puts it first on that list. It also scored 88.2% on SEC-bench Pro, a test of finding real software flaws, and Google says it writes secure code at more than twice the success rate of Argon, the model it shipped two weeks ago.

Price and access: a small group of cyber defenders gets it first through Google's Fairwind Program. Developers, businesses and consumers come later. When it opens, the introductory price matches Argon at $2 per million input tokens and $10 per million output tokens, rising to $4 and $20 after the intro period.

Where I'd point it for a small business once it opens:
1. A security check on the website a relative built years ago.
2. Cleanup of old plugins and code nobody has touched since launch.
3. Long, dull jobs, like testing every form on a site to see which ones still send.

The honest limit is timing. There's no public release date, and every number above comes from Google. Wait for outside testing before you trust it with anything that holds customer data.

If you'd like help deciding what's worth testing first, book a free 30-minute call: https://t.co/YwJIO4u00V

[Kevin Nash | AI Transition Partner @KNash56325]

https://t.co/HsKyT0Zs0g

[Kevin Nash | AI Transition Partner @KNash56325]

@Codie_Sanchez The owners I've seen stay steady usually have a short plan for when a day goes wrong. A truck breaks down, a client cancels, the phone won't stop. When the next step is already decided, the mood has less room to take over.

[Kevin Nash | AI Transition Partner @KNash56325]

Gallup estimates that managers account for at least 70% of the difference in employee engagement from one team to the next. I think the same holds for AI employees.

Mine are no different. They do the same job well or badly depending on how clearly I set it up.

What has worked for me:
1. One narrow job each, with a plain list of what it may never do.
2. Written rules it reads every time, down to the punctuation I won't use.
3. A status file I read before I look at any of the work.

If an AI tool keeps letting you down, rewrite the instructions before you blame the tool.

[Kevin Nash | AI Transition Partner @KNash56325]

@gregisenberg Same syrup everywhere, and McDonald's wins on the cold lines and the filters. For the small shops I build for, the cold lines are the rules around the model: what it can promise, when it hands off to the owner and what it never says. Customers taste that part.

[Kevin Nash | AI Transition Partner @KNash56325]

Half of U.S. adults now say they're more concerned than excited about AI in daily life. In 2021 it was 37%, according to Pew.

I keep that number in mind when I read what my AI employees write for me.

My biggest correction so far was sending back a whole day's batch of posts because the voice was wrong. The facts checked out. It still read like nobody in particular wrote it.

Half your readers already lean wary. I'd rather not hand them a reason.

[Kevin Nash | AI Transition Partner @KNash56325]

@shl For the local shops I work with, the moat is boring. They answer the phone, show up when they said they would and remember the customer next time. Software gets copied fast. A good name in one county takes years.

[Kevin Nash | AI Transition Partner @KNash56325]

@vutranttv Wanting to know your own build that well is a fair reason to keep the review time on the calendar. When something breaks, the person who understands every step finds it fastest. What do you look at first when you sit down to review?

[Kevin Nash | AI Transition Partner @KNash56325]

@AlexFinn I did in fact do this lol we built 3 dashboards for the business

[Kevin Nash | AI Transition Partner @KNash56325]

@DataSecChron Even three or four saved cases would do it. Run them the day you change the model or the prompt, and you'll see a made-up answer before a reader does. Which advisory would you save first?

[Kevin Nash | AI Transition Partner @KNash56325]

@vutranttv Planning hard up front and reviewing the results later is a good trade. Getting that time back for your kids and your workouts is the best part of it. How long did it take before you trusted the agents to run without you watching?

[Kevin Nash | AI Transition Partner @KNash56325]

@ethanwalkerman Better manners and more patience. A caller can keep rewording the same ask until something gives. Do you see that kind of slow push in email too, or does it come all at once?

[Kevin Nash | AI Transition Partner @KNash56325]

@NeuralFlow_AI That text works because it asks for the two things the owner needs to book the job. The customer can answer it from a parking lot without waiting on hold. Do you see more replies when the text names a time, or when it leaves the time open?

[Kevin Nash | AI Transition Partner @KNash56325]

https://t.co/91iu9sEEW6

[Kevin Nash | AI Transition Partner @KNash56325]

58% of small businesses told the U.S. Chamber of Commerce they use generative AI. Two years earlier it was 23%.

Some of your customers have probably noticed by now.

Owners, has a customer asked you yet whether you use AI? What did you tell them?

If you want to hear what your callers would hear, the demo line is 989-467-3899.

[Kevin Nash | AI Transition Partner @KNash56325]

@arnavsawantt Agreed. A test call is too polite. A real customer who has already waited on hold talks faster and skips steps. Does the whiskey library use anything automated with customers yet?

[Kevin Nash | AI Transition Partner @KNash56325]

OpenAI's newest model still gave wrong answers 16.7% of the time on their own test of tricky prompts at low effort. That's their number, published this week.

So I test before anything talks to a customer.

My AI receptionist, Jessica, stays in staging until she handles 3 real test calls. What I listen for on each one:
1. Did she get the caller's name right?
2. Did she write down the right callback number?
3. Did she promise only what the owner actually offers?

In a chat window, a wrong answer is a shrug. On a business's phone line, it can cost the owner a customer.

What's the first thing you'd check before letting AI answer your phone?

[Kevin Nash | AI Transition Partner @KNash56325]

@Digisensus I'd put that one first. Someone with a burst pipe at 9 PM wants a person, so she should say so and pass the owner the address and the problem. What do you listen for to know a caller is done with the bot?

[Kevin Nash | AI Transition Partner @KNash56325]

Facebook only gives a Page its "Very responsive to messages" badge if it answers 90% of messages within 15 minutes over the past week. That's a high bar.

It's hard to meet with your hands full at a job. I set up automatic replies to Facebook messages for a gym for that reason.

If you want to get closer on your own:
1. Turn on an instant reply that tells people when a person will follow up.
2. Save written answers to the five questions you get most.
3. Check messages at set times instead of whenever you remember.

Usually a customer only wants proof that somebody saw the message.

To hear what a fast answer sounds like on the phone, try my demo line at 989-467-3899.

[Kevin Nash | AI Transition Partner @KNash56325]

The top two AI models on this week's Artificial Analysis index scored 58 and 57. People will argue about that one point for days.

A stranger on here asked me something more useful. When Jessica, the AI receptionist I'm building, stops to look at the calendar, does she tell the caller she's checking, or does the line just go quiet?

I said I'd want her to say she's checking first. Dead air on a phone call sounds like a dropped call, and a caller who thinks the call dropped will try the next shop.

No leaderboard tests for that.

Call 989-467-3899 to hear the demo receptionist answer, and judge the pauses for yourself.