The Algorithm

Set & Sold run through Musk's 5-step playbook — in order, automate last

The steps only work in sequence. Most lead-gen shops jump straight to automation and end up automating a broken process — reselling junk leads, faster. Set & Sold deletes the broken parts first, then simplifies, then accelerates, and automates only what's left.

Question every requirement

Industry assumption

The industry runs on unexamined rules: leads must be resold 4×, you need a 30-person call center, you price on cost-per-lead, 60% social rejection is just a cost, you rent leads from affiliates.

Set & Sold move

Every one of these exists to maximize the seller's margin by offloading quality risk onto the buyer. The 'resell it 4×' rule IS the quality problem. None survives the question — so we refuse them by default.

Requirements get a name, not 'that's how the industry does it'
Exclusive-first replaces resell-4×
Price on cost-per-sold-job replaces cost-per-lead

Delete any part or process

Industry assumption

Incumbents keep every layer: media buyers, QA call centers, the affiliate middle-man, the resell machinery, the CRM the buyer bolts on, and the rejection cost they simply eat.

Set & Sold move

Best part is no part. Delete the resell machinery, the human media buyers, the call-center bloat, and — eventually — the rented affiliate supply. Best lead is no lead: warm-transfer inbound calls skip the funnel entirely.

Delete the middle layer via vertical integration (own generation)
10% add-back: keep the buyer relationship + compliance — don't over-delete trust
Inbound-call warm transfer = highest intent, least waste

Simplify & optimize — only what survived

Industry assumption

The classic mistake is optimizing a part that shouldn't exist — polishing a lead-reselling engine instead of killing it.

Set & Sold move

Optimize only what survived deletion: the scoring model, the routing logic, the funnel. We never tune non-exclusive resale — it's already deleted.

Sharpen the quality score + dedupe, not the resale count
One clean funnel: lead → qualify → exclusive placement → job

Accelerate cycle time

Industry assumption

Traditional shops iterate on a monthly media-buy cadence with human buyers in the loop.

Set & Sold move

The disposition learning loop is cycle-time compounding — every closed job retrains targeting. AI iterates creative daily; we ship brokerage cash in week 1 and kill-fast on cheap tests.

Daily AI ad-creative iteration
Kill-fast cheap tests (Utah heat-wave run)
Brokerage revenue live before the generation engine is finished

Automate — LAST

Industry assumption

The instinct (ours included) is to automate everything first. Musk's hard-won lesson: automate last, or you automate a broken process.

Set & Sold move

Run the first buyers and routing manually with Kinsey to extract the real 'issue-ready' criteria — then build the Quo AI qualifier. Our roadmap already respects this: the qualifier is phase 4, after brokerage + routing.

Manual first → learn the true qualification rubric
Automate the qualifier only once the criteria are proven
Roadmap sequence already validated by the playbook

✦ First principles · idiot index

$470

The gap between a raw intent signal and the ~$1,200 the market pays per sold job is the margin.

Incumbents charge for volume and inefficiency. Price from raw cost up — a real signal is cheap; efficiency captures the spread. Our synthetic run already lands at $470/sold job.

⚠ Automate last

Small team of exceptional people

Bryce + Braydn + Kinsey — three A-players replacing a 30-person org — is the Musk staffing model, not a compromise. Maniacal urgency, high cadence, deletion before automation. The engine stays lean on purpose.