This is a working session for the PMs, estimators, project coordinators, field ops managers, and the office that keeps a concrete company paid. You leave knowing what the tool is, where it is safe to use, and one method you can run on your own pile tomorrow morning. Two goals.
It is not a search engine and it is not an expert. It is a very well-read guesser. Once you understand that, the confidentiality rules, the IT policy question, and the "can I trust this" question all get easier to answer.
Most people type a question, take the first answer, and decide the tool is mediocre. That is a search box with extra steps. You are going to watch what changes when you make it ask you questions before it answers, and then you are going to do it yourself.
I'm Brennan Gerle. I help organizations look past the hype of artificial intelligence and build practical systems that pay off in real work. I founded POLR AI in Chandler because businesses knew they needed AI and nobody was showing them how to put it in without losing the human touch they had spent years building.
My work is not really about automation. It is about how the business actually runs. I sit with leadership first to find where the operation is stalling and where a system would actually free capacity. Then I coach the people doing the job so they feel equipped rather than replaced, and we develop the systems inside the work they already do. Most of my clients are in construction, the trades, and manufacturing. Companies that run crews and pump trucks in the morning and chase a GC for a change order in the afternoon. That is this room.
Fifteen of you answered the survey, and the board below starts with those answers. If you did not fill it out, raise a hand for your level and we will add you live. There is no wrong answer here, and the count decides how fast we move.
Fifteen of you answered. That is not the whole room, but it is enough to set the pace and pick the examples.
Fifteen replies. Percentages of fifteen, not of the industry. Hands above are the count for today.
That is the whole mechanism. It read an enormous amount and got very good at guessing which word, number, or line should follow. None of what it read is about your job, your owner, or your subs. That is why it can sound completely certain and be completely wrong, and it is why a person stays at the end of every one of these.
Click any card to flip →
Do not paste the GC's contract documents, your unit pricing, bid numbers, or employee information into a free chatbot. If your company has an IT policy or a company account, use it. Today we use a labeled sample, not your project.
The free version is fine to learn on. Once real project information is in the chat, you want a company or paid account with training turned off. Your subcontract almost certainly has confidentiality language about the owner's documents, and your unit pricing is the most valuable thing your company owns. Pasting either into a free chatbot is the same category as forwarding them to a personal Gmail. Click a platform for the "turn off training" walkthrough.
Almost everyone stops at layer one, decides the tool is mediocre, and quits. That is the single most common reason somebody tells me AI did not work for them. Today we do layer one right and begin layer two. Session 2 continues with layers two and three.
Writing the ask so one good answer comes back. Who you are, who it should be, what you want, and when to stop.
Deciding what it gets to look at before it answers. A perfect question against the wrong pile is still a wrong answer. Most bad results are this, not the wording.
The setup around it. What it may read, what it may change, and where it has to stop and wait for a person. This is the layer that keeps you out of trouble.
One assistant running the same cycle on its own: do the thing, check the result, fix it, go again. The hard part is teaching it how to know when it is actually done.
Several assistants with defined jobs handing work to each other, the way a crew does. Who owns what, who checks whom, and what gets called off when the facts change mid-job.
CRIT is a framework from Geoff Woods, who wrote The AI-Driven Leader. Four parts, in order. It is the difference between a tool that hands you something generic and a thought partner that admits what it does not know before it opens its mouth.
The background it does not have. What job you are on, what the foreman found, what the GC said, what is at stake, what you already tried. Skip this and it answers a question nobody asked.
Who you need it to be. A concrete PM who has written a hundred change order requests and knows a verbal from a GC super is worth nothing on Friday. An estimator who has been burned by a rebar takeoff. The role decides which questions it thinks to ask.
The part everyone skips, and the reason this works. You tell it to ask you questions before it answers. Same sentence every time: interview me one question at a time, up to three questions, to gain more context.
What it produces once it has interviewed you. Format, deliverable, and the stop. Draft it, do not send it. The stop is part of the task, not an afterthought.
Both of these can give you a decent answer. The difference is how many decisions the thing made for you before you saw it.
You end up the reviewer. The work is checking someone else's assumptions about your own job, and you only find the bad one if you look hard.
You stay the one steering. It cannot guess wrong about the thing it stopped to ask you, and nothing gets sent, filed, or issued without you.
You will hear that this makes people lazy, or that it is a crutch for someone who cannot do the job. Here is the honest answer. A good prompt is not a way to think less. Every one of those four letters is a place where you put something in that nothing else has.
It has read almost everything ever written and none of it is about your job. It does not know your GC, which trade is in front of you, or what the super said at the trailer. Every answer worth having starts with something only you could have told it.
It drafts. You decide what goes to the GC, what goes to the engineer, and what waits until you walk the pour. That is not a safety rule bolted on the end. It is the whole design.
When that change order request reaches the GC or that RFI reaches the engineer, nobody is going to ask what the model thought. Twenty years of a GC trusting your paperwork is not in the training data.
Which is the honest case for the Interview line. It is not a trick to get better writing out of the thing. It is the step that makes it come get what is in your head before it guesses at it. A person who runs CRIT well is doing more thinking about the job, not less.
Toggle Lazy, then Better, then CRIT on the sample below. This is four minutes. Then you build one of your own.
Pick a pile from your own week. Type into each box. The fields turn green as they get specific enough. Copy the prompt. Paste it into ChatGPT, Claude, or Copilot. Keep the GC's name and the project name out of it for today.
Who you are, what landed, what's at stake. The job, the phase, the mess.
Who you want the AI to be. Years, specialty, the lens to bring.
This is the secret ingredient. Locked in so you don't forget.
What it should produce after the interview. Format. Deliverables. And the stop.
Fill in the fields above. Your assembled CRIT prompt will appear here, ready to paste into ChatGPT, Claude, or your platform of choice.
CRIT (the four letters) is how you build the prompt in the moment instead of hunting a saved one. A year ago the advice was to collect hundreds of prompts and paste the right one. That binder is already out of date. If you can describe the pile, name the desk, make it ask, and say what and when to stop, you can write it for what is in front of you, faster than you could find the saved one.
On the survey the worry was not "will it work." It was "mistakes," "precise and accurate for our trade," "it still gets things wrong and people use it as fact," and "saving time that creates expensive mistakes." Fair, and correct. Here are four habits that answer it. Each one takes less time than the retyping it replaces.
If it cannot name the email or sheet a number came from, that number stays off the change order request.
Ask for the arithmetic or the source document, not the answer. A total you can check in ten seconds beats a confident one you cannot.
Read the part you already know first. If that is wrong, stop and fix the context, not the answer.
A model that asked you three questions has fewer places to guess. Most hallucination is a gap nobody told it to fill.
Same checks you run on a new project coordinator's first change order request. You do not need to know how the model works.
The owner's survey answer was the best question in the set: where is AI reliable enough to automate, where does it still need a person, and how do you build safeguards so saving time does not create an expensive mistake. Here is the honest version of the answer, as a ladder.
Email, the foreman's texts, a stack of daily reports, an RFI response, an insurance cert against the GC's requirement. If the brief is wrong, you lost two minutes and you can see why. Every task on your survey starts here, and this is where everyone should be tomorrow.
The words are usually good. The numbers are only as good as the documents you gave it and the questions it asked. Nothing sends. You read it the way you read a project engineer's draft, then you send it under your name.
A rebar or yardage takeoff is a quantity with your name on a bid. If you cannot show the math, it is not reliable enough, no matter how fast it was. Letting it act on its own is Session 2, with a connection you control and a stop you set. Nobody should be here after one morning.
The Google method does exactly this. You type, it answers, you stop. CRIT runs the other way. You have to describe the job, name the desk, and answer three questions about your own project before it writes a word. That is more thinking about the work, not less. If your people are using it the first way, the fix is the method, not a ban.
Correct, and it is why takeoffs are on the "not yet" rung above. Use it to read the spec, pull the mix design requirements, list the assumptions, and check your count against the drawings. Do not use it to produce a yardage you could not defend to the GC. The estimator who understands the project is the one who can tell when the tool is wrong.
The four habits above are the back-check, and they take less time than the retyping did. Make them the standard the same way you made a second set of eyes on a pour ticket the standard. The tool rewards the people who already know the work, because they are the ones who can check it.
Yes. That is the Task line. Tell it the format and the length: "one page," "five bullets," "a table with these columns." It will do what you say. A long answer is usually a prompt that did not say what done looks like.
Change order requests, impact letters, and RFI narratives were the most-named tasks on the survey. Tracking was next: company-wide status, installed against contracted quantities, submittals and insurance certs. Same made-up tilt-up job for all of them, and we are the concrete sub on every tab. We paste the sample, run CRIT live, answer its questions as a room, and read what comes back against the four habits.
Beat 1. Something lands in Outlook or Teams. That is inbound. You have not touched it yet.
You sit in the middle of the tools you already use. Click the board or Next beat to walk the three moves. Beat 2 is dump it into Procore or Excel. Beat 3 is send something back and file it.
SAMPLE ONLY. Invented for today. Not a real project, GC, or sub. Project: Building 3, 140,000 SF tilt-up warehouse. We are the concrete sub: footings, grade beams, slab on grade in four pours, tilt panels. Today is Tue 10/27. 1. From: our foreman (text) 6:12a "super had us add 2 footings at C/7 and C/8 yesterday, said engineer wants them. we poured them with the grade beam. about 6 yds extra plus rebar. he said hes good for it" 2. From: GC project manager 6:48a Subj: RFI 044 response Engineer's response attached. Grade beam reinforcing along line C revised from #5 at 12" to #6 at 8" o.c. Please proceed. No change to contract time anticipated. 3. From: GC scheduler 7:05a Subj: Pour 3 date Slab pour 3 (east half) moves from Thu 10/29 to Mon 11/2. Steel erector needs the deck clear. Please confirm pump and crew for Monday. 4. From: ready mix dispatch 7:20a Subj: Thu 10/29 order Confirming 180 CY, 4000 psi, 3 trucks rotating, first load 5:30a Thu. Orders cancelled inside 24 hrs are charged per the account terms. 5. From: GC accounting 7:41a Subj: Pay App 5 approved Approved at $212,400 against $248,900 billed. Deducted 4,100 SF flatwork "not in place" per super walk 10/22, and $6,800 cleanup backcharge. Check cuts Friday. 6. From: our estimator 7:55a Subj: Friday bid Need rebar tonnage and CY from the structural set for the Friday bid by Wed EOD. Can you or the coordinator pull it? 7. From: safety 8:05a Subj: Toolbox talk Reminder: toolbox talk Wed 6:30a, topic is silica. Sign-in sheet to me by noon.
No real names. If the foreman says "he is good for it" or the GC moves a pour without moving your concrete order, that is on purpose. The flags are the lesson.
Change order requests, delay and impact letters, RFI narratives, documentation and rewording. Five survey answers, one job: turn something the foreman said or the GC did into paper that gets you paid. We build it as a saved CRIT prompt with a fixed output, so a PM, a coordinator, or a field ops manager runs it the same way every time. It reads and drafts. It does not send. That is the level of trust this room agreed on in section four.
None of this replaces your judgment. It gets you to a working draft fast. You still review, edit, and own what goes out.
Do not try to change how the whole company works on Wednesday. Take your next change order request, or one morning's texts and emails, or one short pay app. Strip the GC's name if you need to. Run CRIT. Read the blanks first.
Session 1 was the method. Session 2 starts with an exercise: identifying the valuable workflows in your week, the ones that repeat, cost time, and follow a pattern worth building on. From there we turn one into a skill, a saved way of working the assistant runs the same way every time, and we spend real time on validating and trusting your results: what to check before you send anything, and where the model is reliable and where it is not. Then we talk about connectors, the plug into your email, your schedule, your accounting system, and the GC's project software you already live in, and the two permissions you control on every one of them. Estimators, anyone who does rebar and yardage takeoffs from a structural set, this is your session.
Click a question. These are the ones that come up every time.
If you want help before then, bring the actual pile, with the owner's name already stripped.
Everything from today, plus the sample files and the prompts, on one page built for this group.
polrai.com/partnerships/ccaz