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Most Builders Are Using AI Like a Search Box. Ten Minutes of Setup Changes What You Get Back.

Most builders open a new tab every time they use AI, then wonder why the output never sounds like them. There is a ten minute fix, and you only do it once. You know the output when you see it. Photo of a slab going down. Caption reads “Transforming spaces one build at a time.” […]

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Mon 3 Aug 26 12:00:00 PM

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Most builders open a new tab every time they use AI, then wonder why the output never sounds like them. There is a ten minute fix, and you only do it once.

You know the output when you see it.

Photo of a slab going down. Caption reads “Transforming spaces one build at a time.” Hard hat emoji. Crane emoji. A hyphen sitting in a place no builder would ever put one.

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If that is what your AI keeps handing you, the tool is not the problem. The brief is.

That was the starting point of today’s episode of The Good Builder Podcast, where Aaron worked through something most builders skip entirely. Not prompts. Not tricks. Just the setup.

The habit that causes the problem

Most people use AI the same way they use Google.

Open a tab. Type a question. Get a passable answer. Close the tab.

Two days later, open a new tab, ask a slightly different question, get a completely different answer. Close it again. Then conclude the thing is worthless.

Nothing carries over. You are starting from zero every single time and then blaming the model for being inconsistent.

Aaron’s point is that this is a workflow problem, not a technology problem. The model has no idea who you build for, what you sound like, or what you would never say out loud. So it gives you the average of everything it has ever read. The average of everything is generic by definition.

Generic content costs more than time

Here is the part builders underestimate.

Homeowners have become very good at spotting AI content. It has a name now, and people are quick to point it out. Aaron’s argument is that when a client spots it on a builder’s page, it does not just land flat. It works against the one thing you are actually selling.

“It actually will add to the distrust in your brand.”

That matters more now than it did two years ago. Buyers are not shopping on price alone. They are trying to reduce the risk of choosing the wrong builder, and they are looking for someone who feels real and consistent across every place they check.

Content that reads like it came off a production line does not help that case. It quietly makes it worse.

The four things you tell it once

Aaron’s framework is four inputs. He reckons it takes ten to fifteen minutes to complete, and once it is done, it is done.

1. Who you actually build for, and what scares them

Not “homeowners.” Not “residential clients.” Aaron is blunt that those terms are useless to a machine and, if you are honest, not much more useful to you.

Think about the last handful of people who rang you. Second home buyers chasing a forever home for a growing family. Knockdown rebuild families on a tight block in inner Brisbane or on the Gold Coast. Blokes running six townhouses at a time.

Write that down properly.

Then write down what those people are afraid of. Budget blowouts. Being left in the dark for three weeks. Variations they never saw coming. A builder going under halfway through.

That second list is the one almost everyone leaves out, and it is the one that changes the output most. Fear is what your client is actually reading for. If the machine knows it, the content speaks to it.

2. Three things you post about, and one you never touch

Three. Not eight. Not one.

The examples from the episode are useful because they are ordinary. Progress on site, because people genuinely like seeing it. Explaining the process, because that is where builders quietly demonstrate competence. Industry topics you have a real view on, whether that is rates, land supply or the difficulty of delivering affordable homes.

Then one line on what you never post about. Prices. Client names. Whatever your line is.

Boundaries are useful information for a machine. They stop you editing the same thing out every week.

3. Your real voice, taken from things you have already written

This is where the episode earns its keep.

Aaron’s view on brand voice exercises is that most of them are theatre. You do not need a workshop to discover your voice. You already have one, written down, sitting in your sent items.

Take the last five emails you wrote to a client. Take the captions you wrote yourself, not the ones an agency wrote for you. Take the last five texts where you explained something about a build.

Feed those in.

“It’s no use trying to craft a voice. Be who you are and get it out there authentically.”

There is a practical reason for this beyond authenticity. Your digital voice has to match the person who turns up on site. If the writing sounds like a corporate brochure and you sound like you, the client notices the gap. They may not name it, but they feel it.

4. The never do list

Short rules. Specific rules. Absolute rules.

Never use hyphens. No crane emoji. Never promise a timeframe on a post. Never put a price on a post.

Aaron’s test for what belongs on this list is the best line of the episode.

“If it’s something that you’d never say standing in the driveway to the client, put it in there.”

That list is what stops you rewriting the output every time. If you are still fixing the same thing on the third attempt, you are missing a rule.

Where the information actually goes

None of this works if you paste it into a fresh chat every time. It has to live somewhere permanent.

In Claude, that is Projects, in the left hand menu. Create one, name it after your business or your content, and you will find a box for instructions and a box for uploaded files. Both go in there.

In ChatGPT there are two options. Custom instructions live in settings under personalisation and apply to everything you do in that account. Projects work the same way as Claude’s, giving you a named space with its own instructions and files.

Either way, the principle holds. The context sits above the conversation instead of inside it.

Why doing it once is the whole point

The real argument here is not about better content. It is about never having to do this again.

“You will not have to go through another builder’s coach’s course to get the thousand best ChatGPT prompts.”

That is a fair shot at a genuine industry. There is a large market selling prompt libraries to builders, and most of it exists because people are trying to solve a context problem with better wording. Wording is not the lever. Context is.

Once the setup is in place, your prompts get shorter, not longer. A photo and one line about what is happening on site is enough. And the model keeps improving as you correct it, because the corrections now have somewhere to live.

Where the setup does not save you

This is worth saying plainly, because a ten minute exercise cannot carry everything.

It will not give you something to say. If nothing has happened on site and you have no view on anything, a well configured AI will produce nicely worded content about nothing. That is still filler, just better dressed.

It does not remove the check. Anything with a number, a date, a compliance claim or a commitment in it still needs your eyes before it goes out. Getting that wrong on a public post is a different category of problem to a clumsy caption.

And it is not the same thing as putting guardrails on client facing AI. A social content setup and a chatbot answering enquiries on your website are two very different risk profiles, and the second one needs a lot more thought than four bullet points.

Plenty of builders who went all in on AI have since pulled back for exactly that reason. Not because the technology failed them, but because they handed it work it was never set up to do.

THE GOOD BUILDER TAKE

Social content is not a separate job from marketing a building business. It is the part of it that runs every week whether you feed it or not.

Aaron’s framework does not make AI clever. It makes it specific. And specific is the whole difference between content that sounds like a builder and content that sounds like a search result.

Ten to fifteen minutes, once. Then shorter prompts, better output and a lot less time spent deleting hyphens.

Frequently asked questions

How long does it take to set up AI properly for social content?

Aaron puts it at ten to fifteen minutes to complete the four inputs. The setup is a one off task rather than something you repeat, though most people refine it over the following weeks as they spot gaps in the output.

What is the difference between a prompt and a project setup?

A prompt is a single instruction inside one conversation, and it disappears when you close the tab. A project setup sits above every conversation in that space, so the model already knows your audience, your topics, your voice and your rules before you type anything.

Should I use ChatGPT or Claude for this?

Both support the same approach. Claude uses Projects. ChatGPT offers Projects as well as custom instructions in your account settings, which apply everywhere. The platform matters far less than whether you have given it real context.

Why does AI content damage trust in a building business?

Because clients recognise it, and recognition invites doubt. In a market where buyers are actively trying to work out which builder is safe to commit to, content that looks automated suggests the rest of the operation might be too.

Do I still need to check what the AI writes?

Yes. Setup improves consistency and tone. It does not verify facts. Anything involving prices, timeframes, compliance or commitments should be checked before it is published.


RELATED ARTICLES

Technology and AI for Builders, the wider guide to where these tools fit in a building business.

Listen to the full episode on The Good Builder Podcast, and grab the free setup template from the resources section of the website.

This article is general information only and does not take into account your individual circumstances.


TGB Editorial
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