For builders who shipped with Cursor, Replit & Claude

You vibe-coded something.
That's not nothing — that's everything.

Cursor, Replit, Lovable, Bolt, Claude, v0 — the tools changed what's possible overnight. You built something real. Now let's take it all the way.

—— What's already happening

What people are vibe-coding right now — and shipping.

Solo founders, ops managers, sales leaders, clinicians — people who never called themselves developers are building tools that change how they work. Every week, the list gets longer.

Client intake & scheduling

A solo founder built a full client intake and scheduling system for her law firm — in a weekend.

Content pipeline automation

A marketing director automated his entire content pipeline — brief to draft to publish — without writing a line of code.

Prior auth tracker

A healthcare ops manager built a prior authorization tracker that cut her team's admin time in half.

Inventory & waste dashboard

A restaurant group owner built a real-time inventory and waste tracking dashboard across 6 locations.

Patient progress app

A physical therapist built a patient progress app with AI exercise feedback — her patients love it.

Job site report generator

A construction PM built a daily job site report generator that pulls from photos and voice memos.

Custom CRM layer

A sales leader built a custom CRM layer on top of HubSpot that her team actually uses.

Reconciliation tool

A fintech founder built a reconciliation tool that does in 10 minutes what took an analyst two days.

Competitive intel tracker

A product manager built a competitive intelligence tracker that monitors 40 competitors daily.

Grant-writing assistant

A nonprofit director built a grant-writing assistant trained on their own successful applications.

Carrier rate comparison

A logistics coordinator built a carrier rate comparison tool that saves $15K/month in shipping costs.

Resume screening & outreach

A recruiter built a resume screening and outreach tool that runs while she sleeps.

You didn't wait for permission. You built it. That changes everything — including what comes next.

—— The next chapter

Three questions every vibe coder hits — and what to do about them.

These aren't problems — they're proof you built something real. Each one is the beginning of the next chapter, not a crisis.

01 03
01 / Can this go to production?

You built something that works — now make it hold

Getting to production-grade — reliable under real load, secure, supportable — is a real engineering challenge. It's not a criticism of what you built. It's the next chapter. We audit what's there, harden what's solid, fix what isn't, and get it production-ready without throwing away your momentum.

02 / How does this change my business?

If you just automated 20 hours a week — that's a strategic shift

That tool you built isn't just a tool — it's a new capability. What else could change? What can you do now that you couldn't before? We help you think through the bigger picture — what to build next, what to stop doing, where AI changes your competitive position.

03 / What else should I be building?

The first thing you built unlocks the second, the third, and the tenth

Most people who build one thing realize there's a whole stack of problems they can now tackle. The question is which one to do next and in what order. We roadmap the next layer — whether that's more internal tools, a product you can sell, or automation that compounds.

—— Where do you want to take it

Where do you want to take it? Pick your next move.

You've got something that works. Here are three ways to take it further — pick the one that matches where you are right now.

PATH A · GET IT PRODUCTION-READY

"It works. Now I need to know it'll hold — under real users, real load, real security scrutiny."

AI Audit AI-Native Development

Walk away with: an architecture review, security assessment, scalability plan, and a sequenced roadmap to production — without throwing away what you built.

Start with an Audit →
PATH B · TAKE IT FURTHER

"The first version proved the concept. Now I want to build the real thing."

AI-Native Development

Walk away with: a production-grade product, hardened codebase in your repo, observability, and a team that stays through real traffic.

Start with AI-Native Build →
PATH C · GROW WHAT'S ALREADY LIVE

"Users love it. Now I need more of them."

AI Growth Engine

Walk away with: a growth strategy, acquisition channels, conversion optimization, and a team that runs it month over month.

Start with AI Growth Engine →
—— What makes us different

We respect what you shipped — and we see what's possible.

We celebrate what you built. Then we make it unstoppable.

Respect

Honest assessment, no needless rebuilds

Your code, not our preferences

If it's solid, we keep it. We're not going to tell you to throw it away because it offends our engineering preferences. We start with what's there and harden what matters.

Security

Security without shame

OWASP + AI-specific

AI tools generate code that ships fast — they don't generate security review. We handle secrets, input validation, prompt injection, and auth without making you feel bad about it.

Vision

We think bigger with you

Audit + roadmap

The audit isn't just 'what's broken' — it's 'what's possible.' We'll tell you what to harden, what to extend, and what to build next.

—— Common questions

What builders ask first.

Whether we work with AI-tool code, the start-over question, how we review security, shipping features while hardening, and audit-only engagements.

Do you actually work with code built by AI tools?

Yes — this work happens weekly. We're stack- and tool-agnostic. Whether the code came from Cursor, Replit, Lovable, v0, Bolt, or a senior engineer's keyboard, we read it for what it is and harden it from there.

Will you tell me to start over?

Almost never. The starting bias is "fix what's there." We've started full rebuilds maybe twice in 15+ years. The audit tells you which side of that line you're on, with evidence.

How do you approach security review?

Standard AppSec review (OWASP Top 10, secrets management, auth/authz) plus AI-specific review (prompt injection, model-output filtering, training-data leakage, jailbreak resistance, eval-harness coverage). We document findings with severity and remediation effort — then we fix them.

Can you add features while you're hardening?

Yes — that's the default mode. We work in branches against your roadmap. Hardening lands in releases alongside features, not in a quarter-long blackout.

What if my code is genuinely embarrassing?

It's not. We've seen it all. AI tools generate confident-looking code with hidden landmines, and senior engineers ship 10-year-old patterns with the same confidence. We don't grade your code — we harden it.

What if all I need is the audit, not the hardening?

That's a fine place to stop. The AI Audit deliverable is yours either way — vendor-agnostic, prioritized, with effort estimates. Many teams take it to their internal engineers and execute themselves.

—— Field notes

What we’re writing about.

Field notes from the studio — what we’re learning about AI products, agent UX, and the messy reality of shipping software in 2026.