We're the "humans in the loop" who make your AI strategy tick.
Senior engineers who've built healthcare platforms, fintech systems, and SaaS products from zero to scale.
AI-empowered, not AI-enabled .
What brought you here?
Starting from scratch
Build it right from day one
AI tools can scaffold fast, but the wrong foundation means you're rewriting by v2. We make the architecture decisions that let you ship now and scale later.
Start a projectBuilt with AI, hitting walls
We've seen the patterns. We know the fixes.
Cursor, Claude Code, Lovable, Copilot — they got you to v1. But now it's slow, fragile, or just... weird. We stabilize, restructure, and make it production-ready.
Fix my codebaseNeed to know if it's solid
An honest, independent assessment
Before you raise, scale, or hand this off — find out what you actually have. No spin, no padding. Just a clear picture of what works, what doesn't, and what it'll take to fix.
Get an auditBuying or investing
Know what the code says before the deal closes
Revenue metrics and product demos don't tell you whether the architecture can scale or the AI-generated code will survive integration. We tell you what it costs to fix — before you sign.
See our due diligence processWhy this matters
41%
of GitHub code is now AI-generated. It ships fast. It breaks at scale. The gap isn't more AI — it's expert humans who understand what the AI built.
We use AI every day. But someone needs to be accountable for what it produces. That's us.
How we work
We own outcomes, not tickets.
We're not staff aug. We take a problem, own it end-to-end, and deliver. You set the direction. We handle the engineering.
We work directly with decision-makers.
No project managers relaying messages. Founders talk to engineers. Deal teams talk to the people who read the code. Short loops, fast decisions.
We tell you what we actually think.
If the architecture needs a rewrite, we'll say so. If the code is better than expected, we'll say that too. No padding hours, no inflating scope.
Work
AI / Document Processing
Shipping an AI Document Intelligence Platform in 6 Weeks
How two engineers built an LLM-powered document processing platform — from hardcoded extraction to dynamic schema generation — for a seed-stage startup.
Healthcare SaaS
From Spreadsheets to AI: Building a Complete Clinic Operating System
How we built a vertical SaaS from scratch — Elixir/Phoenix backend, React Native mobile, AI-powered documentation, and clinical workflows.
Latest
View allProcess-Based Concurrency: Why BEAM and OTP Keep Being Right
A first-principles guide to process-based concurrency — what makes BEAM different, how OTP encodes resilience, and why everyone keeps reinventing it.
Feb 22
We Open-Sourced Our Code Audit as a Claude Code Plugin
A zero-dependency Claude Code plugin that runs 7 analyzers on any codebase — secrets, security, dependencies, structure, tests, and more.
Feb 14
PhoenixPress: Compile-Time SEO for Phoenix Apps
We open-sourced PhoenixPress — sitemaps, robots.txt, and RSS feeds for Phoenix, generated at compile time with zero runtime overhead.
Feb 13
Ready to put a human in the loop?
Whether you're building, fixing, or evaluating — we're the engineering team that makes AI-built software actually work.