One advisor's complete playbook, applied to your exact situation β with the source and his real words behind every move.
The business: Akash runs stpierre.ai (public face: "Alex St. Pierre"). It's a one-person company that uses AI to get foundation-repair and waterproofing contractors more jobs. The promise: 10+ new jobs in 90 days, $0 down, pay after results. The whole company is run by one person plus an AI operating system.
Who is Jeremy Haynes? A marketer famous for scaling high-priced services past $1M/month β and for doing it with zero employees, using AI instead of staff. That's exactly the model this business is betting on, which is why his playbook matters here more than anyone else's. We've studied 15 of his videos and turned 20 of his methods into working tools.
What this page says: where the business stands today, the one big thing Haynes would say is wrong, his 4-phase path to $1M/month, and β for every recommendation β where it came from and what he actually said.
In short: the machine is fully built β ads, funnels, follow-up texts, a demo bot, tracking β but almost none of it has been switched on. And the clock that matters most isn't the sprint deadline (Aug 16). It's the cash running out around Aug 8.
Haynes' most famous rule: people who already know you buy 3β10x more often than strangers. So he tells everyone to split their ad money: about 70% on strangers ("cold"), 30% on people who already engaged with you ("warm"). Most agencies run 95/5 and wonder why their ads don't pay off. Here's your split:
What makes this sting: your warm machine is already built. A 7-level "stay in front of warm people" ad ladder β built, paused, $0 spent. Automatic follow-up text sequences β built, waiting on approval, but the message copy still sells an old offer. About 950 warm leads and a list of 805 companies that showed interest but never booked β zero messages sent.
Translation: it doesn't matter how good the stuff you built is if nobody's ads and follow-ups are actually reaching people. His verdict on you would be one line: you built the machine that talks to warm people, then spent all your money talking to strangers.
Cash runs out ~Aug 8. Strangers take weeks to warm up β you don't have weeks. Warm people are 3β10x faster to close, and reaching them is nearly free.
The math for $1M/month:
Click any one. Each shows: the move in plain English β why β which Haynes framework it comes from β his actual words β the example/story he uses to teach it.
The move: turn on the already-built "stay in front of warm people" ads at $10β20/day before scaling anything cold.
The move: rewrite the 4 built text sequences (they still sell a dead "$1" offer), approve them, and hammer every booked call and warm lead for the 72 hours before their call.
The move: your demo bot qualifies prospects β wire it to text you the moment someone's hot, so your only job is closing (evenings, around the day job).
The move: once real proof exists, record a 15β20 min video per niche that sells the whole idea before the call. Don't hide it behind a sign-up wall.
The move: sell the Backlog Blueprint book / 7-Ad Blueprint for $27β97. Then a ~$997 "do it with you" tier. Then the full service. You already built the products.
The move: retire the giant 192-ad test. Pick ONE theme, run ~5 variations on tiny budgets, scale only the winner. Repeat.
The move: price for $1Mβ$10M contractors: lead with the ROI math ("15 booked inspections at your job value = $X against a $5K fee"), keep the risk-reversal, and ladder to 3 tiers.
The move: keep the no-hire rule. The AI stack IS the team. First bend: commission-only closers near $100K/month. CSM at ~10 clients. That's it.
The move: document every client like a scientist (baseline β day 7 β day 14 β first win) and feed each win back into ads and content.
The move: at scale (Phase 3), the job is paid amplification of proven proof across 9 niches β not making new stuff.