Free guide · Real estate edition

How AI works, in plain English.

A short, visual guide for business owners and leadership teams. Part 1 covers what AI is and how businesses use it. Part 2 explains how it actually works, so you can use it well and know when not to trust it.

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Examples from construction or real estate

Part 1

The big picture

What AI is, what it's good at, and how a business actually puts it to work.

01What AI is
02What it's good and bad at
03Three ways businesses use it
04Start with a workflow
05What it costs
06A 30-day pilot
07Protecting your data

Part 1 · The big picture

"AI" is a family of tools, not one thing.

Most of what people mean by AI today is a language model: software that has learned the patterns of written language well enough to read, write and reason in it. It sits inside a much older field.

Part 1 · The big picture

It's very good at some work and unreliable at other work.

The pattern is simple. Language models are strong with words and patterns, and weak wherever exactness or facts they weren't given matter.

Strong

Drafting and rewriting

Summarizing long documents

Pulling details out of messy files

Comparing documents side by side

Answering from sources you provide

Check carefully

Exact math across large data

Facts it wasn't given

Recent events

Judgment calls about people

Anything you can't verify

Part 1 · The big picture

Businesses use it in three ways, each with more independence.

An assistant answers when you ask. An automation runs the same step every time. An agent works toward a goal and decides its own next steps. More independence means more value and more need for a person to sign off.

Part 1 · The big picture

Start with a workflow, not a tool.

Map one job your team does often, step by step, and mark the steps where AI could take on the reading, sorting or first draft. People keep the decisions. Here's tracking the deadlines in a purchase contract.

Your agentA signed purchase contract comes in
AIReads it and pulls out every deadline and contingency
AIBuilds the timeline and drafts a reminder for each party
Your coordinatorChecks every date against the contract and sends the reminders
OutcomeEvery deadline tracked, from inspection to closing

A person decidesAI handles the stepThe outcome

Part 1 · The big picture

The software is only part of the cost.

There are three kinds of cost to plan for. The third is the one most budgets leave out.

Setup and your team's timeMapping the work, connecting your systems, training people and checking output

UsageCharged per token when you build with AI directly, so the bill grows with how much you run

SeatsA monthly subscription per person for tools like ChatGPT, Claude or Copilot

Part 1 · The big picture

Prove it with a 30-day pilot.

Pick one workflow, measure how it runs today, and give a small group a month with the new version. Training sticks when it's built around the work people already do.

1Week 1Pick the workflow and measure how it runs today

2Week 2Set up the tool and train the group on their own work

3Week 3Run it for real, with a person checking every output

4Week 4Compare against week 1 and decide whether to expand, adjust or stop

Part 1 · The big picture

Know where your data goes before you paste it in.

A few habits cover most of the risk, and none of them require a technical team.

Use business plansBusiness and enterprise plans usually keep your data out of model training. Free and personal plans may not.

Decide what never goes inWrite down the data your team shouldn't paste into any AI tool, such as client financials or personal records.

Keep a list of your toolsKnow which AI tools your team uses and what each one can see. A one-page policy is enough to start.

Part 2

How AI actually works

You don't need to be technical to use AI well. You do need a working picture of what's happening inside, because it explains both what AI is good at and where it goes wrong.

08Tokens
09Predicting the next word
10How a model is trained
11The context window
12Why it makes things up
13Answering from your documents
14Tools and agents
15Giving good instructions
16Checking the work

Part 2 · How AI actually works

It reads and writes in small pieces called tokens.

A model doesn't see words the way you do. It breaks text into tokens, which can be a whole short word, part of a longer word, or a punctuation mark. Tokens are also how usage is measured and billed.

Type something

An illustration. Every model splits text its own way, so real token counts differ.

Part 2 · How AI actually works

It writes by predicting the next token, over and over.

At each step the model weighs every possible next token, picks a likely one, adds it, and repeats. Fluent writing comes out of that loop. So does a confident sentence that isn't true.

The agent sent the

An illustration. The bars show relative likelihood, not real figures.

Part 2 · How AI actually works

It learned from a vast amount of text, then was taught to be helpful.

First the model reads an enormous amount of writing and learns how language fits together. Then people show it good answers and rate its attempts, which shapes it into an assistant that follows instructions.

PretrainingThe model reads a huge range of text and learns the patterns of language.

Fine-tuningIt learns from examples of good questions paired with good answers.

Human feedbackPeople rate its answers, and it learns which kinds of answer they prefer.

The assistant you useIts knowledge stops at a cutoff date, unless a tool such as web search gives it newer information.

Part 2 · How AI actually works

It only knows what's in front of it right now.

Everything a model can use in a conversation sits in its context window: your messages, any files you add, and its own replies. Today's windows are very large. Anthropic's current models hold up to a million tokens, which it puts at roughly 555,000 words, enough for a whole stack of contracts, disclosures and inspection reports at once.

Anything outside the window, it doesn't see: last week's chat, unless the product saves it, or the oldest part of a long one once it's dropped or summarized.

Even inside, research has found models use the start and end more reliably than the middle. Position matters, not age: it rereads the whole window each time.

Out of the window

Last week's chat, or the oldest part of a long one. Not seen.

Context window

Your messages, your files and its replies, all at once

Start and end: used most reliablyMiddle: easier to miss

Part 2 · How AI actually works

When it doesn't know, it can still sound sure.

The model is built to produce likely text, so a gap in what it knows gets filled with something that sounds right. This is often called hallucination. It's why you give it sources and check anything that matters.

When does the inspection period end on the Maple Street contract?

        The contract for 412 Maple Street was signed on May 2.
        The inspection period ends on May 12, ten days after signing.Sounds right. Isn't in any document it was given.
        The appraisal deadline follows a week later.
      

An invented example, to show the pattern.

Part 2 · How AI actually works

Give it your documents, and it answers from them.

Many business tools first search your files for the passages that matter, then hand those to the model along with your question. This is called retrieval, or RAG. Answers get more accurate, and they can point to where each fact came from.

You ask a question

The tool searches your filesContracts, disclosures and past listings

It pulls out the passages that answer the question

The model writes an answer using only those passages

You get the answer with links to its sourcesSo you can check each fact yourself

Part 2 · How AI actually works

With tools, an agent can do the work itself and report back.

On its own, a model can only tell you what to do. Connect it to tools such as search, a spreadsheet or your email, and it can take a step, look at the result and decide what to do next. That loop is what people mean by an agent. The more it can do on its own, the more a person should approve before anything goes out.

Part 2 · How AI actually works

Better instructions get better work.

Treat it like a capable new hire on day one. Tell it the situation, the job, what good looks like and the shape you want back.

ContextI run a 12-agent real estate team. This is a signed purchase contract for a single-family home.

TaskList every deadline and contingency in it, with the date each one falls on.

FormatA table: item, date, and the section of the contract it comes from.

GuardrailIf you aren't sure, say so. Don't guess.

Part 2 · How AI actually works

Build the check into the workflow.

AI output is a first draft. Decide in advance who reviews it, what they compare it against, and who signs off. Having a second AI review the first helps, but it doesn't replace a person for anything that matters.

AIWrites a first draft and cites its sources
ReviewerChecks the draft against those sources
ReviewerCorrects it, or sends it back with notes
Sign-offA named person approves it before it goes out

AI fluency on one page

What to remember.

It predicts likely text, so fluent isn't the same as true.

It only knows what's in its context window, so give it the sources.

Start from one workflow, and keep people on the decisions.

Budget for setup and your team's time, not just seats.

Use business plans and decide what data never goes in.

Build the review step in before anything goes out.

Want help applying this to your business?

We'll set up 30 minutes to talk through where AI could help and roughly what it would cost. If it isn't the right time yet, we'll say so.

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Want help applying this to your business?

We'll set up 30 minutes to talk through where AI could help and roughly what it would cost.

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