Everyone bought AI tools. Almost nobody changed the work.

Find differentiated data. Write damn good messages. Teach your whole team to do it — with just their voice and Claude Code.

Message Me on LinkedIn →Get my ideas for just $50
The Problem

The Predictable Revenue model is dead.

Mounting an AI SDR on top of an outdated methodology is like putting a legless robot on a horse. No one gets anywhere, and it still shits on the way there.

A legless AISDR robot riding a horse labeled Predictable Revenue
Define your ICP→Define your personas→Your Chad sends this:
Re: Quick question

Hi {FirstName},

I wanted to reach out because {Company} is the leading platform for sales acceleration. We help companies like yours achieve 3x pipeline growth and reduce sales cycles by 40%.

I’d love to schedule 15 minutes to show you how we can…

All about the seller. No insight. No data. Pure template.

And the whole model is broken now.

×Google and Microsoft block you
×AI is hard to make useful for you
×Competition has skyrocketed
×Reply rates have plummeted
×Data tools have stagnated
×Teams haven’t adapted
The Blueprint Way

Three steps. One methodology.

01
Segment

Find who has the worst version of the problem.

Not demographics. Not ICP filters. Find the specific companies bleeding from a specific problem — regulatory failures, aging equipment, competitor lock-in. The segment defines everything downstream.

02
Discover

Let AI find and structure the data.

This is the centerpiece. OSHA citations, NPI registrations, building permits, Gong call mentions, reverse-engineered product tiers. Data no vendor sells — found at speed, at scale, for cheap. The data groups the segment and proves the problem is real.

03
Message

The data writes the message.

“You just added Dr. Smith to the practice. Can you see their production separately?”  — That’s a PVP. The targeting criteria proves you understand their world before you ask for anything. The list IS the message.

“If you build lists by filters, you have to message by persona. Your SDRs are forced to personalize their way out of the problem. You spend more money to send more generic messages to more channels.”

“If you pick 1 segment, build bespoke data from an insight, the message writes itself. The audience is defined by the data. And you can scale to every channel because the insight doesn’t change.”
The Three AI Eras

AI changed the game three times. Most teams stopped at one.

01
Era One

ChatGPT

Copy-paste into a chat window. Summarize a call. Research a company. One prompt, one answer, no memory. Better than nothing, but you’re still doing the work.

02
Era Two

Clay

Deterministic workflows. When X happens, do Y. Stack tasks sequentially. Change a column name and everything breaks. Powerful, but brittle and blind.

“Those workflows don’t know me. They have no understanding about my context.”
03
Era Three

Claude Code

Autonomous judgment in narrow lanes. Give it a goal, your methodology, your criteria — it works hands-free. Writes code, calls APIs, builds databases. Every campaign gets smarter than the last.

“You now essentially have an engineering department for any problem.”
What We Deliver

Three things. That’s it.

Data no one else has.

Not another ZoomInfo export

We found 109,594 Jira Cloud instances by reverse-engineering feature gates. We pulled OSHA citations, NPI registrations, county permit records, competitor Gong mentions. The stuff you can’t buy from a vendor — because no vendor thought to build it.

Messages worth paying for.

“Holy shit, how did they know that?”

“You just added Dr. Smith to the practice. Can you see their production separately from yours?”  — That’s a real message from a real campaign. The data proves you understand their world before you ask for anything. The list IS the message.

Your team builds this.

Not a consultant who leaves a PDF

Your best seller describes a campaign in plain English. Claude Code turns it into a live pipeline: data sourcing, enrichment, scoring, message generation. No code. No Clay tables. We leave a system your team owns — not a deliverable that expires.

Real Work

Here’s what this looks like in practice.

Technology Detection
109,594 instances discovered

Large SaaS Vendors

ChallengeClient needed to find every company running a competitor’s product. No vendor could sell them that list.
DiscoveryReverse-engineered the competitor’s feature gates to classify Free, Standard, and Premium tiers. Fused DNS records, SSL certs, CommonCrawl, GitHub repos, and API signals into one master dataset.
ImpactBuilt a TAM dataset that didn’t exist anywhere. Not in ZoomInfo. Not in any intent vendor. From scratch.
Competitive Intelligence
3 segmented campaigns from regulatory triggers

Healthcare Compliance Training

ChallengeSales team had 365K Gong calls but zero competitive intelligence extracted from them.
DiscoveryAI-extracted 429 competitor mentions from call transcripts. Cross-referenced with CMS audit failures, OSHA citations, and OIG exclusions.
ImpactEach campaign targeted companies with provable compliance pain — not guesses, not intent signals, actual regulatory failures.
Prospect Scoring
47,228 → 3,326 Tier 1

Third-Party Logistics

ChallengeMassive prospect universe. No way to tell which 3PLs were actually worth calling.
DiscoveryMulti-source scoring from TIA, FDA, IWLA, Fulfill.com, Google Maps, and Salesforce. 20+ signals per prospect.
Impact93% reduction in prospect list. Reps stopped guessing and started calling companies with real signals.
Signal-Based Outreach
106K practitioners in 10 hours

Chiropractic SaaS

ChallengeNeeded to reach practitioners at the exact moment they feel pain — not spray-and-pray to the whole market.
DiscoveryNPI + Google Maps pipeline targeting life events: adding a practitioner, opening a second location, changing billing patterns.
ImpactSignal-based campaigns triggered by observable business changes. The data wrote the message.
“You just added Dr. Smith to the practice. Can you see their production separately from yours?”
Conference Intelligence
Real-time qualification app

Healthcare Conference

ChallengeSales team walking a massive conference floor with no qualification tool. Thousands of booths, zero context.
DiscoveryBuilt a mobile-first qualification app that AI-scored every attendee with talking points, competitive intel, and priority ranking.
ImpactReps had context before every conversation. No more “So what do you guys do?” at the booth.
Permit Data Targeting
300 qualified homeowners from permit data

HVAC / Home Services

ChallengeLocal contractor needed homeowners with aging equipment. No way to find them at scale.
DiscoveryBuilding permits database — found HVAC installations from county permit records going back decades. Filtered by age, geography, and equipment type.
Impact$0.80/postcard direct mail campaign with hyper-specific targeting. The permit data IS the message.
“Your home at 123 Main St had a furnace permit pulled 10 years ago. If it hasn’t been replaced, that’s a $20,000 repair waiting to happen.”
Public Records Prospecting
All-time permit data across counties

Construction / Permits

ChallengeFinding specific contractor activity by geography and trade type. Traditional data vendors don’t cover this.
DiscoveryAPI access to national permits database. Filtered by trade type, geography, time period, and permit value.
ImpactTurned public records into a prospecting goldmine. Every permit is a signal that someone is spending money.
See It In Action

Watch the methodology, live.

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Fit Check

This isn’t for everyone. That’s the point.

This is for you if…

✓Vertical SaaS (healthcare, logistics, fintech, government, construction)
✓Series A–C, under 2,000 employees
✓Regulated industries with discoverable public data
✓You have sales reps and a process
✓You’ve tried the agency, tried Clay DIY, and want your team to OWN this

This is NOT for you if…

×Horizontal SaaS — no segment-specific data to discover
×SaaS selling into other SaaS companies
×You’re outside regulated industries
×You just want someone to “send more emails”
×You’re above 2,000 employees — org complexity makes this harder
Photo

Jordan Crawford

Not a consultant who leaves a PDF. An engineer who leaves a system. I design my company around what AI can do exceptionally well — and nothing else.

Clay advisor & investor8+ regulated verticals2,000+ playbooks generated

Your system should deliver the insights, so your sales reps can talk to people.

Stop mounting AI on top of a broken process. Let’s build the right one.

Message Me on LinkedIn →Get my ideas for just $50