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How We Build
This is not magic. It is a system — engineered, tested, and refined across 6 production applications and 2 years of weekly iteration. Here is how it works.
The Problem
The software industry has a structural problem. And most people are solving it wrong.
465-760K/yr
Expensive
A traditional startup team of 8-10 people costs half a million or more per year. Most of that money goes to execution work that AI can do better.
6-12 months
Slow
Hiring takes months. Onboarding takes months. The first usable version takes months. By the time you ship, the market has moved.
40% turnover
Fragile
One key developer leaves and the project stalls. Knowledge lives in people’s heads. Scaling means more hiring, more management, more chaos.
The Gap
AI tools alone are not the answer either.
ChatGPT, Copilot, and other AI tools help individual productivity. But they don't replace teams. They don't orchestrate workflows. They don't test their own output. They don't deploy to production. Nobody has built a complete system that replaces entire teams with orchestrated AI agents — until now.
Our Approach
Agentik {OS} is built on three core principles that make the difference between AI as a toy and AI as a team.
Purpose-built, not generic
Each agent is specialized, tested, and optimized for its specific domain. A development agent writes code differently than a marketing agent writes copy. We don't use one model for everything — we build purpose-built agents with specialized prompts, tools, and quality gates.
AI executes, humans decide
AI handles execution, humans handle strategy. The perfect balance of speed and judgment. Every critical decision passes through a human expert. Architecture choices, business logic, client communication — the things that actually matter never get delegated to AI.
Every project makes us smarter
Every project feeds back into the system. Patterns from 6 shipped products inform agent behavior, testing strategies, and architecture decisions. What worked for DentistryGPT improves how we build the next SaaS. What MANIAC caught in Kommu makes testing sharper everywhere.
“The goal is not to remove humans from the loop. The goal is to remove everything that wastes human time, so the human can focus on the 10% that actually requires judgment.”
The Stack
From raw AI models to production deployment — every layer is purpose-built and battle-tested.
Ship to production with confidence. Zero-downtime deployments, edge distribution, and real-time monitoring.
100+ automated tests per project. Security, performance, accessibility, and UX — all verified before any code ships.
The brain of the operation. Agents are assigned, coordinated, and monitored through our proprietary orchestration layer.
Best-in-class language models as the raw intelligence. We pick the right model for each task, not one model for everything.
Results
6 production applications shipped. Real users. Real revenue. Real code you can audit.
AI SaaS
AI-powered platform for dental practices. Full auth, payments, AI chat, and admin dashboard.
Next.js, Convex, Clerk, Stripe, AI SDK
Real-time Platform
Community platform with live video conferencing, real-time messaging, and role-based access.
Next.js, Convex, LiveKit, Clerk
Enterprise SaaS
Enterprise workplace community platform with moderation, analytics, and SSO integration.
Next.js, Supabase, Stripe, AI SDK
Mobile App
iOS life-tracking app with habit analytics, streaks, and personalized insights.
Expo, Convex, Clerk
Extension + Dashboard
Chrome extension paired with analytics dashboard for developer productivity metrics.
Next.js, Chrome Extension, Convex
Internal Tool
AI project scaffolder that goes from idea to working MVP autonomously with team coordination.
Claude Code, AI Agents, MCP
6
Products shipped
3-6wk
Average delivery
0
Failed projects
100%
Production-grade
Why This Matters
Companies adopting AI-native development today will ship 10x faster than competitors still hiring traditional teams. This gap only widens with time as AI agents improve exponentially.
Outsourcing moves work to cheaper humans. This is a fundamentally different model: AI handles execution at machine speed while a human expert ensures quality and strategic alignment. The result is better than either could achieve alone.
Traditional team costs increase every year — salaries, benefits, office space, turnover. AI costs decrease every year. The longer you wait, the bigger the gap between you and companies that adopted this model early.
The solo founder with an AI team is the new startup model. No fundraising needed to build an MVP. No months of hiring before writing a line of code. Just strategy, AI agents, and execution.
See how Agentik {OS} can replace your team bottlenecks with AI-powered execution. The first call is free, the ROI is immediate.