Buy It. Then Run It. — Client Walkthrough Content Structure

READ FIRST

How to use this document

This is a shot-by-shot content structure, not a word-for-word script. Every beat tells you what to say, what to have on screen, and which real artifact to point at. You improvise the words. You do not improvise the order.

The one rule

Show the screen, not the slide. Every single claim gets a visual receipt. The moment you cut to a stock-photo slide with three bullet points, you become every other agency. This video's entire power is that it looks like internal footage that leaked.

The emotional target

Not "these guys are smart." The target is "there is no version of me doing this in my spare time." That feeling comes from volume of specifics — named systems, real numbers, real screens — not from adjectives.

Legend

SAY — the line, or the idea of the line. Say it your way.
ON SCREEN — exactly what's being recorded at that moment.
▣ CAPTURE — a real screenshot/recording you need to go grab. Full list in the capture section.

PART 1

The Buy

Six acts, ~18 minutes. The job of Part 1 is to prove that finding and vetting a business is a full-time operation with real judgment in it — and that we already run it.

ACT 0 — The Frame

0:00 – 1:15

Earn the next 30 minutes. Set the promise and the stakes.

Cold open mid-work. Don't introduce yourself. Open on a live client deal sheet with 40+ rows already filled in.
State their inner monologue. "You want to own a business. You don't want to start one from zero. So you open BizBuySell, you scroll 300 listings, and you have no idea which ones are real, which are priced insane, and which will eat your life."
Name the four things nobody tells you. (a) Finding deals is a volume game you can't win part-time. (b) The listing lies — the truth is in the CIM. (c) A good business dies if you model it wrong. (d) And the day you close is the day the actual work starts.
The promise. "I'm going to show you our screen. How we find them, how we tear them apart, what we hand you — and then exactly what we install in the business in the first 90 days after you own it."
Credibility in one line, then move. Deals reviewed / clients active / years. The walkthrough is the proof; don't dwell.

Cold open line"This is one client's deal flow. Forty-one businesses. We read every single one so he didn't have to. Eleven made it to a phone call. Let me show you why the other thirty didn't."

Capture 01

Live client deal-flow sheet, scrolled

40+ rows, green/red colour coding visible, columns for CIM link, analysis link, decision, introduction.

SOURCE: Edward's client deal-flow Google Sheet · SCRUB: client name → "Client — J.R.", broker phones

ACT 1 — The Machine That Finds The Deals

1:15 – 5:00

Prove volume. Prove they never hunt again.

1.1 Onboarding — "We become you"

Buyer profile — form or onboarding call. What you actually want to own.
Your own dedicated Gmail, connected. Every deal goes out under your name. Brokers talk to a buyer, not an agency.
Equity to invest → this sets the entire deal-size band.
Criteria: sector, price floor, cash-flow floor, geography.

Say"This step is thirty minutes of your time. It is the last manual work you do until you're on a call with a seller."

1.2 Sourcing — "We apply, daily, at volume"

Scrapes the marketplaces against your criteria, every day.
Applies on your behalf — daily submission cap so it's steady, not spam.
Signs the NDA. Sends proof of funds.
Broker goes quiet? Finds their direct email and follows up — capped at 20–40/day so the inbox stays healthy.

Use this — don't hide it

"The marketplaces mis-tag their own listings. Ask for healthcare and you'll get a cleaning company. So we run keyword matching on top of the category filter — and if your niche goes dry that week, we widen the net rather than send you an empty report." Admitting the messy part is what makes the rest credible.

Capture 02–04

Platform setup tab · submission engine running · NDA signed → CIM lands

Setup screen with criteria + Gmail connected · the deal engine mid-run with a submission counter · an inbox showing NDA out → CIM PDF back.

SOURCE: the deal platform, client Gmail · SCRUB: real email addresses, client name

Transition into Act 2"Okay. So now we have the document. And this is where almost everyone gets it wrong — because this is a forty-page PDF professionally designed to make a business look better than it is."

ACT 2 — The Brain

5:00 – 12:00 HIGHEST VALUE — 40% of Part 1

This is the moat. Anyone can scrape listings. Nobody else does this. Show judgment, not software.

Structure: one real deal, start to finish, screen-shared. Pick a deal with a reversal — looks great, turns out mediocre. The reversal is the retention mechanism.

2.1 Extract — the eight things we pull from every CIM

Asking price
3-year average SDE / earnings
What the business actually does, in one line
Top 5 risks
How involved is the owner — semi-absentee or is-the-business
Is there a manager in place
Six questions unique to this deal
Who you'll have to hire the day after you close

Say"Number eight is the one that kills people. Nobody thinks about it until the money is already spent."

2.2 Model it — the math that decides everything

Price → SDE → loan structure → yearly cash flow, filling in live.
Teach one concept only: debt service coverage ratio. "We want 1.5x. Below that, this business owns you instead of the other way around."
Show the structure decision live: SBA 7(a) vs conventional vs investor-backed. "Above about $5M of loan, SBA math stops working and the whole structure changes. That's a judgment call, not a setting."
Subtract working capital and closing costs. "The number the broker shows you is not the number that hits your account."

2.3 Stress-test it — the segment nobody else can shoot

Show four real catches, on screen, with the numbers moving:

The catch	What it looks like	What it costs
The averaging trick	Three years averaged — including the bad year. If trailing twelve months is negative, we pass.	Kills the deal outright
Add-back defensibility	"Officer supply expenses" added back. A lender won't accept it.	$600k profit → $535k
The hiring haircut	Owner works 45 hrs/week, no GM in place.	$250k profit → $100k
Customer concentration	Top 5 customers = 49% of revenue.	One phone call = half the business

The emotional payoff"Every one of those four is the difference between a business that pays you and a business that buries you. That is what you are actually hiring us for."

2.4 The verdict

Three legitimate outcomes, shown in the decision column:

YES → introduce.
YES, with caution → introduce, but at a lower offer, with these specific questions.
NO → and here's exactly why we killed it.

Say"We send you the no's too. You should see what we protected you from."

Capture 05–11

The full Act 2 sequence

CIM open beside the analysis prompt · the extraction output · the model with DSCR calculating · the add-back line item being challenged · the hiring line being added · profit number changing · the decision column flipping to YES / YES-CAUTION / NO.

SOURCE: Edward's analysis spreadsheet + Gemini on the CIM · SCRUB: company names if under NDA

ACT 3 — What You Actually Receive

12:00 – 14:30

Make the deliverable tangible. Kills the "what am I paying for" objection.

Your deal board — every deal, live, with status.
A per-deal report — risks, model, verdict, in plain English. Call it the acquisitions.com Due Diligence Report. Never "QoE" — that's a different thing you'll buy later.
Your question script — six deal-specific questions for the seller call. "You'll sound like you've done this fifty times."
Broker name and direct number — already warmed.
The intro, already sent — from your Gmail, with your buyer profile and calendar link attached. "The broker thinks you're a serious buyer. You are — you just have a team."
The LOI, when you're ready. Structured and priced.
Notes — yours, right on the deal.

Say as a rhythm"We find it → we vet it → we introduce you → you take the call → we structure the offer → we bring the lender, the QoE firm, the accountant → you own a business."

ACT 4 — Close, Financing, and the Handover

14:30 – 17:30

Bridge the two halves. This is the seam most people never see.

LOI accepted → the clock starts. Show the timeline: LOI → QoE → lender package → legal → close. 60–120 days.
Who we bring in and when. SBA lender (or the non-SBA/independent-sponsor list if it's over the line), QoE firm, transaction attorney, insurance, the accountant.
What we negotiate for you: seller financing term and rate, transition/training period, working capital peg, earnout if needed, non-compete.
The transition plan — the first thing we build before you own it. Who does what on day one.

The bridge — this is the most important line in the video"Most firms stop right here. They get you to the closing table, they shake your hand, and you drive to a building full of people you've never met, with a phone that rings all day, and a business that lives entirely inside the last owner's head. That's the part we actually built the company for. Let me show you the first ninety days."

ACT 5 — Who this is not for

held for the very end

Moved to the end of Part 2. Don't qualify before you've delivered the value.

See Production & Close.

PART 2

The Grow — the first 90 days after you own it

This is the half that doesn't exist anywhere else, and it's the half that justifies the price. Everything below is built on the Agilex install and written so it maps onto any local service business — HVAC, plumbing, electrical, roofing, landscaping, pest, garage doors, restoration. Same disease, same cure.

How to shoot Part 2

Do not narrate this as a feature list. Narrate it as a diagnosis and a repair. Every system below has the same three-beat shape and you should say all three every time: (1) here's what's broken in every one of these companies · (2) here's what we install · (3) here's the number that moved. If you can't name the number, cut the system from the video.

2.0 — The diagnosis: what you actually just bought

Open Part 2 by being blunt about the asset. This builds more trust than any promise.

What the CIM said you bought

$4.2M revenue, $620k SDE
"Established team, 22 employees"
"Recurring maintenance base"
"Owner transitioning out"

What you actually bought

A phone number that rings into a desk nobody sits at after 5pm
A 40-year customer list in a filing cabinet and one spreadsheet
Pricing that lives in the owner's head
Four technicians who only take direction from the guy who just left
$12–40k of uncollected invoices nobody is chasing
A website from 2016 that doesn't take a booking
A Google profile with 31 reviews and a 4.1

Say"Nothing on that right-hand list is a disaster. Every one of them is a fixable, known, repeatable problem — and we've now fixed them in the same order enough times that we stopped guessing. Here's the order."

20%

of inbound calls go unanswered

85%

of those never call back

41%

of calls come after hours

$30–50k

/yr in estimates that die unfollowed

$10–15k

/mo leaking, invisible on the P&L

Capture 12–13

The leak, made real

Screen-record the actual call log for the acquired business showing missed/after-hours calls in red. Then the aged receivables report with the uncollected total circled.

SOURCE: phone system export + accounting software · SCRUB: customer names/numbers

PHASE 1 · DAYS 0–14 — Stop the bleeding & instrument everything

You cannot improve what you cannot see. Phase 1 is not growth — it's plumbing and visibility. Nothing creative happens for two weeks and that's deliberate.

Phone system takeover & call recording

Day 1–2

Broken

Calls ring to a cell phone or a desk. No recording, no log, no way to know how many you missed or what they wanted. The owner "just knows."

Installed

Tracked number ported in, every call recorded and transcribed, routed by type (emergency / new job / existing customer / vendor). Now every call is a data point instead of a memory.

Number that moves: you go from "we're pretty busy" to a real answer rate. Usually 74–81%.

The CRM spine — one system of record

Day 1–4

Broken

Customers live in four places: the old software, a spreadsheet, the owner's phone contacts, and a paper file. No one list.

Installed

Every historical customer imported, deduped, tagged by service type, last-service date, and lifetime value. This single list is the highest-value asset in the acquisition and it's usually the worst-maintained.

Number that moves: "1,400 past customers" becomes a segmented, contactable, reactivatable asset.

Unified inbox — call, text, web, Google, Facebook

Day 3–5

Broken

A lead texts the business line, messages the Facebook page, and fills in the web form. Three different people see three different things. Or nobody does.

Installed

One inbox. Every channel lands in the same thread against the same customer record, with full history. Whoever's on shift sees everything.

The live ops dashboard

Day 5–10

Broken

The owner finds out how the month went from the bookkeeper, six weeks late.

Installed

One screen: calls → booked → sold → collected, live. Average ticket. Jobs per tech. Close rate by lead source. Ad spend against booked revenue. Refreshes without anyone building a report.

Say"This is the screen. Before we owned it, this number did not exist anywhere in the company. Not in a worse form — it did not exist."

Capture 14

The live ops dashboard, real data

Full screen, ideally with a date-range filter being changed so the numbers move on camera.

SOURCE: hvac-ops-dashboard.pages.dev (live GHL connection)

Collections — chase the money already earned

Day 5–14

Broken

Work completed, invoice sent, nobody follows up. $12–40k sitting in aged receivables because chasing it is nobody's job.

Installed

Automated ladder — day 3 text, day 7 text + email, day 14 call task, day 21 escalation. Payment link in every message.

Number that moves: this one usually pays for the entire first month of the engagement. It's the fastest cash in the whole build and it's money the business already earned.

Why this goes first

It's the only system where the ROI lands inside two weeks with zero new marketing spend. Lead with it in the video — it reframes the whole engagement from "cost" to "recovery."

Baseline audit — the "before" photo

Day 10–14

Freeze every metric before anything improves: answer rate, booking rate, average ticket, no-show rate, review count and average, Map Pack position, monthly revenue by source, receivables, close rate by tech.

Say"We take this snapshot on purpose, because ninety days from now nobody remembers how bad it was. Including the owner."

PHASE 2 · DAYS 15–30 — The AI front office goes live

Now the AI employees start work. This is the crew from the Jarvis piece, made real. Every one of these is a named, running automation — not a concept.

AI Receptionist — answers every call in two rings, 24/7

Day 15–18

Broken

41% of calls come after hours. They go to voicemail. 85% of people who hit voicemail call your competitor instead and never come back.

Installed

Answers in two rings, day or night. Qualifies the job, captures address and issue, books to the live calendar, and texts a confirmation before hanging up. Escalates to a human when it should.

Number that moves: answer rate → ~100%. Voicemails → 0. This is the single biggest revenue recovery in the build and it's revenue that was already trying to give you money.

Capture 15–16

A real recorded AI call

Play 20–30 seconds of an actual after-hours call being answered and booked. Waveform + transcript on screen. This is the single most persuasive asset in the entire video. Nothing convinces like hearing it work.

SOURCE: call recordings · SCRUB: bleep the customer's name and address

Emergency Protocol

Day 15–18

Fires the moment a lead says "no heat / no AC / leak / no power / flooding." Instant reassurance text ("Got it — this is urgent, getting someone to you now") and a live ping to the on-call tech. This is the after-hours money every shop loses, and it's the highest-ticket work in the trade.

Human Handover

Day 15–18

Fires when the customer asks for a person, or the AI hits something it can't answer. Silences the bot, alerts a real team member, hands over the full thread. Say this out loud in the video — the objection in every viewer's head is "I don't want a robot annoying my customers," and this beat answers it before they finish thinking it.

AI Dispatcher — books the job on the real calendar

Day 18–22

Broken

Booking is a phone call to the office, which is a person, who is at lunch. Double-bookings. Techs driving across the county twice a day.

Installed

Books against live tech availability and service area. Groups jobs by geography to cut windshield time. Works whether the calendar is native or an outside system.

Number that moves: jobs per tech per day. One extra job per tech per day across four techs is a six-figure annual swing on the same payroll.

The reminder ladder — no-show killer

Day 18–22

Confirmation on booking → reminder two days out → reminder the day before → reminder one hour out, with the tech's name and ETA. Reply to reschedule instead of ghosting.

Number that moves: no-show rate. Typically halves. A no-show is a paid technician driving to nothing — it's the most expensive hour in the business.

AI Follow-up — the dead-estimate rescue

Day 22–26

Broken

Tech quotes $8,400 for a system replacement. Customer says "let me think." Nobody ever calls back. $30–50k/yr dies here, quietly.

Installed

Every unsold estimate enters a sequence — day 1, day 3, day 7, day 14, day 30 — with financing options and a seasonal nudge. A "yes" routes straight back into booking.

Number that moves: estimate close rate. This is pure margin — the lead was already paid for.

AI Reviews — the 5-star filter

Day 26–30

After every completed job: "How did we do, 1 to 5?" A 5 gets the Google review link. Anything lower routes privately to the owner instead of to Google. Public stays 5-star; problems get handled quietly and fast.

Number that moves: review velocity and star average — which feeds directly into Map Pack ranking, which feeds free inbound leads. This one compounds.

Capture 17

Review count before/after

Google Business Profile: 31 reviews @ 4.1 → 68 reviews @ 4.8. Side by side, dated.

SOURCE: Google Business Profile screenshots, before and current

Referral engine

Day 26–30

Every customer who scores a 5 gets asked for a referral with a trackable link, then the referral gets nurtured until they book. Cheapest lead in any local service business, and virtually nobody systematises it.

PHASE 3 · DAYS 31–60 — Turn on demand

Only now. Phase 3 before Phase 2 is how agencies burn money — you do not pour leads into a business that can't answer the phone.

Say this explicitly on camera

"Notice we're on day thirty-one before we spend a dollar on advertising. Every agency does this backwards. They turn on ads into a business that misses one in five calls, and then they blame the ads. We fix the bucket, then we turn on the tap."

Website rebuild — booking-first

Day 31–38

Broken

2016 site. Mobile-hostile. A contact form that emails an inbox nobody opens. No pricing, no booking, no trust signals.

Installed

Fast, mobile-first, service-area pages, real photos, reviews embedded, financing visible, and a booking widget that books the 11pm Sunday caller straight into the calendar. Refreshed monthly with new offers.

Capture 18–19

Website before / after

Old site and new site, side by side, both on a phone frame. Then the mobile booking flow, screen-recorded end to end — tap to booked in under 40 seconds.

SOURCE: Wayback Machine for the old site + live new site

Local SEO, Map Pack & AI search visibility

Day 31–45

Google Business Profile rebuilt — categories, services, service area, photos weekly, Q&A seeded.
Citation cleanup across directories so the name/address/phone matches everywhere.
Service-area landing pages for each town you cover.
AI search visibility — structuring the site and content so ChatGPT, Gemini and Google's AI answers name this company when someone asks "who fixes AC in [town]." Most competitors have not thought about this at all yet. That window is open right now and it will close.

Number that moves: Map Pack position → free inbound calls. The compounding asset.

Paid acquisition — Google, LSA, Meta

Day 38–52

Google Local Services Ads (Google Guaranteed badge) — highest-intent inventory in the trade.
Google Search on emergency and replacement keywords.
Meta for seasonal tune-ups, financing offers, and replacement demand generation.
Creative tested weekly; the winner scales, the losers die. Reported against booked revenue, not leads.

Say"We don't report cost-per-lead. Cost-per-lead is a vanity number an agency uses to look good. We report cost per booked, completed, paid job. Those are different numbers and only one of them is real."

Capture 20–21

Ad account with ROAS · winning creative

Real spend against real booked revenue. Plus the winning creative with its metrics.

SOURCE: Meta/Google Ads manager · SCRUB: account name

Founder content, AI-produced

Day 45–60

Broken

Owner knows they should post. Owner will never post. Every local trade company has the same dead Facebook page.

Installed

Voice and likeness cloned once from a short session. Then daily short-form — "3 signs your AC is about to fail," "why your bill jumped in July" — produced and posted without the owner touching it. Real face, real voice, zero ongoing time.

Why it matters beyond leads: it's a recruiting asset. In a trade where hiring techs is the hard constraint, being the visible local company is how you get applicants instead of chasing them.

PHASE 4 · DAYS 61–90 — Margin, recurring revenue, and the owner-replacement

Phases 1–3 grow the top line. Phase 4 is where enterprise value actually gets created — and where the buyer stops being the bottleneck.

The membership plan — manufacturing recurring revenue

Day 61–72

Broken

Every dollar is transactional. You start each month at zero. Slow season is genuinely frightening.

Installed

A branded membership — two visits a year, priority scheduling, discount on repairs, no diagnostic fee — at $15–25/month. Signup page, billing, fulfilment calendar, and an enrolment offer at the end of every completed job.

This is the highest-leverage system in the entire document

400 members at $18/month is ~$86k/yr of contracted, predictable revenue. But the real prize is the multiple. Transactional service revenue trades at 3–4x. Contracted recurring revenue with retention trades at 5–7x and it de-risks the whole business for a buyer. Building the membership base is not a marketing tactic — it is the single most direct action available for increasing the exit price. Say this on camera. It's the smartest thing in the video.

Number that moves: members enrolled, retention rate, and — the one that matters — percentage of revenue that's contracted.

Database reactivation — the free money in the filing cabinet

Day 61–75

The 1,400 past customers from system 02 get worked systematically, on a seasonal calendar:

Season	The angle
Early spring	Pre-summer AC check before the rush and before it breaks
Late spring / early summer	"Beat the heat" — tune-up before the first 90° week
Mid summer	Emergency readiness + high-bill diagnosis
Early fall	Heating check before first cold snap
Late fall	Furnace safety + CO check
Winter	Emergency positioning + replacement financing

Master sequence plus six seasonal variants. A "yes" hands straight to booking. Number that moves: booked jobs from zero marginal ad spend. Usually the second-fastest ROI in the build after collections.

Pricing, job costing & tech scorecards

Day 68–82

Flat-rate price book installed — pricing leaves the owner's head and becomes a system. This alone typically moves average ticket 8–15%.
Good/better/best presented on every replacement quote. The middle option lifts the average.
Financing offered on every ticket over a threshold — converts "I can't afford it" into a sale.
Job costing per ticket — you find out which service lines actually make money. Frequently one whole line is being run at a loss and nobody knew.
Tech scorecards — close rate, average ticket, callback rate, review score per technician. Coach the bottom, pay the top.

Say"Average ticket is the most underrated number in the trade. Eleven percent on average ticket, on the same jobs, with the same techs, drops almost entirely to the bottom line. There is no lead cost attached to it."

The owner-replacement layer — the GM you didn't have to hire

Day 75–90

Broken

The CIM said you need a $150k general manager. That hire was going to eat most of your profit — and on some deals it's the reason you'd have passed entirely.

Installed

Most of what a GM does in a company this size is coordination: answering, scheduling, dispatching, chasing, reporting, reminding. Systems 07–22 do the coordination. What's left is genuine judgment and people management — and that's a $65–85k operations lead, not a $150k GM.

This changes which deals you can buy

Say this plainly: "If the coordination layer is software, the hiring haircut we modelled back in Act 2 gets smaller. Which means deals that didn't clear 1.5x coverage with a $150k GM in the model — do clear it with a $75k ops lead. We can buy businesses our competitors have to walk away from. That's not a marketing claim, it's arithmetic, and it shows up in the model."

Plus: EOD report to the owner's phone every evening. Jobs, revenue, tomorrow's schedule, anything that needs a decision. The owner goes from running the business to reading the business.

Capture 22

The daily EOD report on a phone

The actual message the owner receives at 6pm. Real numbers.

SOURCE: the EOD automation output

The 90-day scoreboard — build this slide from real Agilex data

End Part 2 on the before/after table. This is the payoff for 20 minutes of detail. Every row must be a real number you can defend, and it should be dated. If a row isn't real yet, delete the row — one invented number poisons the other eleven.

Metric	Day 0	Day 90	Why it matters
Call answer rate	—	—	Recovered revenue that was already calling you
After-hours booked jobs	—	—	Pure incremental; competitors are asleep
No-show rate	—	—	Paid tech hours reclaimed
Estimate close rate	—	—	Margin on leads already paid for
Average ticket	—	—	Drops to the bottom line, no lead cost
Google reviews / rating	—	—	Map Pack rank → free leads, compounding
Membership base	0	—	Multiple expansion
Receivables collected	—	—	Cash already earned, recovered
Revenue from reactivation	$0	—	Zero marginal ad spend
Owner hours/week in the business	—	—	The actual reason they bought it
% revenue contracted	—	—	The number a future buyer underwrites
SDE	—	—	The number everything multiplies

PART 3

The Multiple — why any of this was worth doing

4–5 minutes. Zoom out. This is where the viewer stops thinking about a job and starts thinking about an asset — and where the roll-up offer becomes the natural next sentence instead of a pitch.

3.1 The arithmetic, said slowly

You bought at ~3x SDE. That's the market for an owner-dependent local service business.
The systems raise SDE — recovered calls, higher tickets, better close rates, lower no-shows, collections, reactivation.
The systems also raise the multiple itself — and this is the part almost nobody understands. A buyer pays more for the same earnings when they're contracted, documented, and not dependent on one person.
You're now selling a different kind of asset than the one you bought. Same building, same trucks, same trade. Completely different valuation category.

The line to land Part 3 on

"You didn't just make the business bigger. You made it a different type of business — one that runs without the owner and has contracted revenue. The first type sells at three. The second type sells at six to ten. That gap is the entire reason to do any of this, and it's worth more than every month of extra cash flow combined."

3.2 Tuck-ins — the second engine

Once the operating system exists, it's the same cost to run two companies as one.

Buy the retiring competitor two towns over — often at 2–2.5x, because they have no systems and no buyers.
Their customer list plugs into your CRM. Their phone forwards into your AI receptionist. Their techs join your dispatch. Their overhead disappears.
Their earnings get bought at 2.5x and then valued at your platform multiple. That spread is the whole roll-up thesis, and it's available to you the moment the systems exist.

3.3 The exit paths — give them all three

Hold. A systematised business throwing off cash you don't work for.
Roll up and sell the platform. Three to five tuck-ins, then a private-equity exit at a platform multiple. Where the real money is.
Sell into ours. We're building an AI-powered roll-up in this space. If the numbers are there, we make you an offer — invest, roll your company in, and you exit at a premium with equity in something larger. Not a fit? The systems are yours regardless.

Say"I'm not going to pretend that's a neutral option. We'd love to buy it. But the reason we're any good at building this is that we're building the same thing for ourselves — we're not selling you a playbook we don't run."

ASSETS

Screenshot & recording capture list

42 assets. The video does not work without these — a walkthrough with no screens is a webinar. Grab them in this order; the ones marked ★ are non-negotiable.

#	Asset	Where it lives	What it proves
01 ★	Client deal-flow sheet, 40+ rows	Edward's Google Sheet	Volume is real
02	Platform setup tab — criteria + Gmail	Deal platform	We operate as you
03	Submission engine mid-run	Deal platform	Daily activity
04	NDA sent → CIM received	Client Gmail	The loop closes
05 ★	CIM open beside analysis prompt	Gemini + Drive	The method
06	Extraction output — the 8 fields	Gemini	Consistency
07 ★	Model with DSCR calculating live	Analysis sheet	Real math
08 ★	Add-back being challenged, profit drops	Analysis sheet	Judgment
09 ★	Hiring line added, profit drops again	Analysis sheet	The catch nobody makes
10	Question script — 6 deal-specific	Analysis sheet	Deliverable
11 ★	Decision column: YES / CAUTION / NO	Deal sheet	We say no
12 ★	Call log, missed + after-hours in red	Phone system export	The leak is real
13	Aged receivables, total circled	Accounting software	Money on the floor
14 ★	Live ops dashboard, date filter moving	hvac-ops-dashboard.pages.dev	Visibility
15 ★★	Recorded AI call — after hours, booked	Call recordings	The single best asset
16	Emergency protocol firing, text + tech ping	CRM/GHL	Speed
17 ★	Google reviews before / after	Google Business Profile	Compounding proof
18 ★	Website before / after, phone frames	Wayback + live	Visible transformation
19 ★	Mobile booking flow, tap → booked <40s	Live site	It actually works
20	Ad account: spend vs booked revenue	Meta / Google Ads	Accountability
21	Winning creative + its metrics	Ads manager	We test
22 ★	Daily EOD report on a phone	EOD automation	Owner reads, doesn't run
23	Unified inbox, 5 channels one thread	CRM	Nothing gets lost
24	Automation list — 14 named workflows	GHL workflows screen	Depth, at a glance
25 ★	Membership signup page + member counter	Live page	Recurring revenue
26	Reactivation campaign + booked replies	CRM	Free money
27	Reminder ladder, 4 messages	CRM	No-show kill
28	Dead-estimate sequence + a recovered sale	CRM	Rescued margin
29	Flat-rate price book	Field software	Pricing is a system
30	Good/better/best quote as customer sees it	Field software	Ticket lift
31	Tech scorecard, per-technician	Dashboard	Management layer
32	Job costing by service line	Dashboard	Finding the losing line
33	Map Pack position before / after	Google search, incognito	Free leads
34	AI search naming the company	ChatGPT / Gemini query	The open window
35	Founder short-form + view count	Social	Content without the owner
36	Collections ladder + recovered total	CRM + accounting	Fastest ROI
37 ★	The 90-day before/after scoreboard	Built from real data	The payoff
38	Deal timeline: LOI → close	Built graphic	Sets expectations
39	Lender / QoE / attorney intro emails	Gmail	The network is real
40	Client-facing shared deal board	Platform public link	Transparency
41	A completed DD report, scrolled	Analysis output	The deliverable
42	Tuck-in map — platform + targets	Built graphic	The vision

Scrub list — do this before any of it goes public

Client names → initials. Customer names and addresses → bleeped or blurred. Broker phone numbers → blurred. Real Gmail addresses → blurred. Company names still under NDA → renamed. Bank/loan account identifiers → removed. One un-scrubbed frame in a public video is a real problem. Do a full-screen pass before export.

PRODUCTION

Production, close & cutdowns

The close — Act 5, held to the very end

Recap in one breath. "Sourcing at volume. Analysis that catches what kills deals. Introductions under your name. Structure and financing. Then twenty-two systems that turn what you bought into something that runs without you — and sells for double the multiple."
Who this is NOT for. Your best qualifier — say it plainly. "If you want to buy yourself a job, don't do this. If you have no capital and no timeline, don't do this. If you want to own something real in the next six to twelve months and you don't want to spend two years learning what I just showed you — that's who we build for."
What happens on the call. "We look at your capital and your target and tell you honestly whether you're a fit. If you're not, we say so on the call."
One CTA. Book the call. One button. Nothing else on screen.

Decide this before you write the close

There's a positioning fork buried in Act 5 you haven't resolved. Edward's read is that business owners are ~20–30% of the market, inconsistent, but 3x the price. This video works for both audiences — but the "who this is not for" section is where you pick. Write it tight and it filters to the $30k buyer. Write it loose and it feeds the $10k funnel. You can't do both in one close. Decide before you write it, not during.

Recording order — do not shoot front to back

Act 2 first. It's the highest-value ten minutes and everything else gets framed around it.
Part 2, systems 01–22. Shoot against the real Agilex install, not the platform mid-build.
Acts 1 and 3 from the platform.
Act 0, Part 3, and the close to camera, last — once you know what the middle sounds like.

Retention mechanics

Cold open on the screen, not your face.
Biggest catch (the add-back or the hiring haircut) at ~35% — that's the first drop-off cliff.
The recorded AI call at ~55% — an audio texture change resets attention harder than any visual.
The 90-day scoreboard at ~85% — the payoff that earns the CTA.
Every ~90 seconds, one number changes on screen. Movement holds people.

Cutdowns — one shoot, five assets

Cut	Length	Source	Use
The full walkthrough	26–34 min	Everything	Pre-call asset, DFY page VSL, no-show follow-up
"We killed a deal that looked great"	3–4 min	Act 2 only	Best ad creative in the set
"90 days inside a company we bought"	5–6 min	Part 2 + scoreboard	Seller-side / roll-up outreach
"3x in, 8x out"	2–3 min	Part 3	Investor + sophisticated buyer
Shorts pack	8 × 30–60s	See below	Organic, daily

Shorts harvest — all from footage you already shot

"The seller added back $63k. Here's why the lender says no."
"Top 5 customers are half the revenue. Pass."
"Owner works 45 hours a week. That's a $150k hire you didn't budget for."
"Last twelve months negative? We don't even open it."
"41% of your calls come after hours. Listen to what happens to them." (the AI call — strongest short)
"We waited 31 days before spending a dollar on ads. Here's why."
"$18 a month is worth more than $18 a month." (the membership → multiple argument)
"Same business, same trucks. Sells for double. Here's what changed."

Language discipline

Say "we", not "the AI." They're buying a team that uses AI, not software.
Your own report is the acquisitions.com Due Diligence Report — never "QoE."
Real numbers, always. Rounded numbers sound invented.
Name the systems. "AI receptionist" beats "automation." Specific nouns feel built; abstractions feel sold.
Admit the messy parts. The mis-tagged listings, the fact AI doesn't fix a bad business. Every admission buys credibility for the next claim.

The one thing that can sink this video

Part 2 promises twenty-two systems. If you shoot it before the Agilex install has real numbers behind it, Part 2 becomes claims sitting directly next to Act 2's brutal specificity — and the contrast will actively hurt you. Do not shoot Part 2 until the 90-day scoreboard has real, defendable rows in it. Shoot Part 1 now; it's ready.