For founders who've outgrown the prototype

You built something real with Claude. We'll take it the rest of the way — and I stand behind it in production.

It works in the demo. You can't bet the business on it. And you know it. That last mile is the practice: production-grade, secure, compliant, monitored — with someone accountable when it breaks. We start with one milestone that proves it, and we only grow when the evidence earns it.

Three decades shipping — Microsoft · Nordstrom · Virtuoso · Mindbloom (acquired). Twelve delivered milestones across five clients, every one on an audit trail — and every claim on this site is graded, with receipts — go look.

Delivery ledger — illustrative specimen Example
08:12Spec approved by clientGate 1
09:47Agents dispatched · 4 parallel branchesRunning
11:03Test suite green · 214/214Verified
11:21Security & dependency scan cleanVerified
13:40Deployed to productionGate 4
14:02Client sign-off · evidence archivedShipped
Why now

The last mile the platforms won't run.

Anthropic makes the prototype easier every month. The gap between "works in a demo" and "runs in production for real users — with real data, compliance where it's needed, and monitoring" doesn't shrink. As more people build with Claude, more people need exactly this. The pattern shows up in the deal ledger — and the receipts live on the proof page.

12 / 12
delivered milestones priced ≤ $8,375 — measured from the deal ledger, not remembered
5 / 5
clients entered at a four-figure milestone — never a big-bang contract
0 / 3
of our biggest cold asks ever closed — the market punishes the big ask; the proving milestone converts

Most consultancies ask you to trust them. We ask you to buy one milestone.

If it earns the next one, we continue. If it doesn't — you shouldn't hire us. That's the whole model, and it's how every client on the proof page started.

1 · One milestone proves it 2 · Evidence expands it 3 · We operate what ships
The shift

Better, faster, cheaper — all three, for real.

AI made the traditional engineering team optional. It didn't replace judgment — knowing what to build, how to validate it, and when it's actually done.

Better

Work no human team could do

Governed AI agents build, test, and review around the clock. Every change carries evidence — quality proven, not promised.

Faster

Weeks, not quarters

No ceremonies, no coordination tax. Spec, build, verify, ship — what took a quarter now takes weeks.

Cheaper

No million-dollar payroll

Senior product and technology leadership plus the delivery system — for less than one engineering hire.

The part the tools won't tell you: AI-built products are walking into a wave of supply-chain attacks — poisoned packages a coding agent installs exactly as designed. Every engagement here runs isolated, quarantined, and evidence-logged. The Delivery Assurance standard →

The method

Five gates. Evidence at every one.

Thirty years of product delivery, distilled into a pipeline where nothing advances without proof.

1

Frame

We listen, map your problem space, and play back where to go with the budget you actually have.

Delivery plan
2

Prove

Before we build big, we validate that someone will pay. If there's no buyer, we find out cheap.

Validated demand
3

Build

Governed AI agents build in parallel — spec-driven, test-gated, security-scanned, human-reviewed.

Evidence chain
4

Ship

Production deployment through a staged, smoke-tested, reversible deploy gate — not a demo that dies after launch.

Live product
5

Operate

Trained operators run the day-to-day inside your business, with the system watching quality.

Measured outcomes

Domain expertise not required. We've delivered in radiology, travel, health inference, M&A, property management, and equine care. The method is the constant. The domain is the variable.

See the Delivery Assurance standard
Proof

Real products, in production, right now.

Products businesses run on every day — from clients who came for one milestone and stayed for the roadmap.

"I had the concept and I'd been trying to build it myself with Claude — I could get it to generate reports in a chat window, but I hit a wall turning that into something real. Travis and The Collective took that idea and built a product I use every day to do my actual work. Now I'm ready to put it in front of other radiologists."

Adam Brochert, MD · Radiologist & HelpMeRad Founder

"I had HealFest in five weeks and needed a full marketplace — practitioner directory, AI wellness guide, karma economy, payments, the works. Travis and The Collective shipped the entire platform before the event. Then they migrated seven years of blog content from WordPress without losing a post. I went from 'I don't know if this is even possible' to a production product with real practitioners and real traffic."

Reena Jadhav · Founder, HealCircle
20
deals on the ledger across the client book — radiology to property management, measured from the deal ledger
324
autonomous PR reviews on the live client book — every one logged and acted on, measured from the production database
100%
of clients who bought a first milestone expanded into multi-phase engagements — measured on the deal ledger
Who it's for

You've prompted your way to a demo. Now you need a product.

  • You're a founder with a validated idea and no engineering background — and no appetite to hire one.
  • You built something promising with AI tools, then hit the wall: security, scale, reliability, real users.
  • You've got a business running on spreadsheets and email that AI should be running instead.
  • You have budget for outcomes — not for a team of five engineers and a year of runway.

Who's operating

The Collective is the flagship practice of ProductLove, Inc., founded and led by CEO Travis McElfresh — a product and technology executive who has run engineering at Fortune-500 scale and shipped from zero at startup speed.

  • NordstromSVP, Technology — 800+ engineers, $300M budget
  • VirtuosoSVP, Technology & Digital Product — $28B travel network
  • MicrosoftXbox, MSNBC.com
  • MindbloomCo-founder — acquired by Welltok
  • Track record30 years · 20 startups · 3 US patents
More about Travis →
Pricing

Priced on outcomes, not headcount.

Three ways to engage, one delivery system underneath. Start small, expand when the evidence says so — that's how every flagship client has done it.

Prove · $5,000

Prove it's worth building

Frame the problem, validate the buyer, ship a working proof — and an honest go / no-go.

Build · $12,500/mo

Ship the product your customers can trust

Spec to production under governance, with security and compliance built in.

Operate · $25,000/mo

Run an AI product that survives success

Operators embedded day-to-day; monitored, compliant, accountable.

Gate 0 · The first conversation

Tell us what you're trying to build. We'll tell you the truth about it.

A 30-minute call. You describe the outcome. We play back what it takes, what it costs, and whether anyone will pay for it — the same honesty our clients pay for.

Book a delivery call

Or email directly: · general questions:

Bringing a technical advisor? Send them the Delivery Assurance standard first — it was written for them.

Five seats · six months

I'm not hiring. I'm making founders.

A different door than everything above: five people build their own practice on my books, my platform, and my prep — with half my fee at risk on your win, and your outcome published on the ledger either way. This section comes down when the seats are filled.