Next.js
Founder-led AI product engineering studio
Production AI agents and apps for the frontier era.
One studio for AI agents, automation, and web and mobile apps that ship to production, not demos. Built for startups and growing teams, with approval gates, evals and cost caps. You own the code and keys.
Hero slide 1 of 14
Independent on
Verified
- $50k+earned on Contra
- 33Contra hires
- 5.0rating
- 14five-star reviews
Featured client outcomes
Proof from production work
Founders hire for outcomes similar to theirs — built on hardened workflows, edge networks, and production AI agents.
v30584Updated 10.05.26, 16:21Building ◌
v30583Updated 10.05.26, 16:21Deployed ✓
v30582Updated 10.05.26, 16:21Deployed ✓
v30581Updated 10.05.26, 16:21Deployed ✓
Fits into your existing workflows
Git, GitHub Actions, VS Code, and any framework. No proprietary tools or vendor lock-in.
One network for users, apps, and data
Whether you're shipping code, securing employees, or connecting branches, it all runs on the same global network — managed from one dashboard, billed as one platform.
330+ edge locationsExplore engagements →
Secure by default
DDoS protection, WAF, bot management, and Zero Trust controls are built into the network and run on every request from day one.
Fast path to AI adoption
Build, deploy, and govern AI agents on the same network. Secure MCP portals, identity-aware access, and built-in inference make production AI a one-step deploy.
Launching agents to analyze repository...
3 background agents launched
↳ lint-agent → all clean • 4k tokens
↳ a11y-agent → audit complete • 98 tokens
↳ build-agent → compiling sources • 32k tokens
⠿ Agents frontend analysis ready.
Four ways I can help
Flagship offers
Start with the problem. Broader capabilities live under Services after you know the fit.
AI Product Engineering
“We need AI inside our actual product.”
Agents, RAG, MCP, voice, multimodal, AI apps, evals, and observability.
Explore→Flagship offerAI Automation & Agents
“Too much work is still manual.”
Custom workflows, agents, integrations, and human-approval loops.
Explore→Flagship offerPrototype → Production
“Our Lovable, v0, Cursor, Replit, or FlutterFlow prototype isn’t production-ready.”
Architecture, security, auth, database, payments, tests, monitoring, deployment.
Explore→Flagship offerWeb & Mobile Product Engineering
“We need the complete product built.”
Flutter, Next.js, Firebase, Supabase, native integrations, and cloud.
Explore→Flagship offer
Embedded AI / Ongoing Product Engineering
Sprint retainerRetainer sprints, roadmap ownership, and production hardening.
Case study
Golfers needed an AI coaching product that worked on the course — not a demo chatbot.
- CoachTalkTalk to your coach about your entire game.
- GameTalkCapture shots and key moments while you play & practice.
- GameTrustTraining built around Focus · Confidence · Control.
- Insights & PlayBackUnderstand your patterns, progress and rounds over time.
- Constraints
- Mobile-first UX, voice capture, GPS context, Firebase sync, and a public web product that had to stay in parity.
- What I designed
- A connected Phone App + WebApp system with CoachTalk voice, Insights, and membership gating.
- What I engineered
- Flutter mobile, Next.js web, Firebase Auth/Firestore, Cartesia voice pipeline, and production analytics.
- AI architecture
- Grounded coaching on round and session data; voice STT/TTS with human-usable latency; entitlement-gated features.
- Result
- Shipped store and web surfaces with ongoing product engineering — not a one-off prototype.
- Flutter
- Firebase
- Next.js
- Google AI
- Cartesia
- RevenueCat
Vibe-Code Rescue & Production Hardening
It works in the demo.
Then real users arrive.
AI tools ship a prototype in a weekend — then it breaks the week it gets traction. Auth has holes, secrets leak into the bundle, payments aren't idempotent, and every AI fix breaks something else. I take apps from Lovable, Bolt, Cursor, v0, Replit, and FlutterFlow and make them production-grade — the auth, payments, security, and architecture the AI skipped. You keep your code and your stack.
~45% of AI-generated code ships an OWASP Top 10 flaw2.74× the human security-bug rate
Build fast → cracks under real users → hardened to production-grade.
Client testimonials
Remove perceived risk
- Retainer intent
“Built the platform, app, seller portal, and admin panel — and we planned to keep him on retainer.”
2026 Contra client · The Vault Los Angeles
- 5.0 rating
“Quality, communication, professionalism, attention to detail, and responsiveness — 5.0 across the board.”
Contra reviews · 14 five-star ratings
- Founder-led
“Production AI and mobile work that ships — not demos. Direct engineer access, no account-manager layer.”
Studio engagement pattern
Full reviews on Contra.
Engineering Scale & Velocity
How to scale
From MVP proof-of-concept to millions of requests: how production agents, high-throughput data layers, and edge compute scale deterministically without rewrites.
- 01
Global Edge & Traffic Scaling
Distributed V8 compute across 330+ locations
Zero-cold-start edge isolates distribute compute close to users worldwide. Automatic multi-region load balancing, tiered caching, and Smart Shield absorb 10x traffic surges without provisioning delays or server crashes.
<15ms LatencyPhase 01 - 02
Agent Swarms & Inference Scaling
Parallel model execution & context pipelines
Scale autonomous agent loops without bottlenecking. Dynamic routing across OpenAI, Claude, Gemini, and Workers AI, coupled with semantic prompt caching and MCP tool sandboxes, keeps inference costs and latency ultra-lean.
Sub-Second AIPhase 02 - 03
High-Throughput Data Layer
Distributed SQL & zero-egress asset storage
Eliminate database locks and bandwidth penalties. Distributed SQLite (D1) and connection pooling (Hyperdrive) accelerate central databases, while S3-compatible R2 storage streams petabytes of user assets with zero egress fees.
Zero Egress FeesPhase 03 - 04
Autonomous Governance & Telemetry
Continuous evals & zero-downtime releases
Scale reliability alongside traffic. Automated eval suites verify agent outputs against deterministic guardrails, while real-time edge telemetry, schema migrations, and CI/CD pipelines prevent performance regressions as systems multiply.
99.99% UptimePhase 04
Discovery Sprint · 1 wk
from $2k
Scoping session, technical spec, and a priced estimate ready to share with stakeholders.
MVP / Launch · 4–8 wksPopular
from $5k
Full-stack delivery — design, build, QA, and production handoff for web, mobile, AI, or agent systems.
Ongoing / Scale · Retainer
from $10k
Retainers, sprints, and embedded senior engineering for longer-running roadmap execution or high-touch work.
Custom Scope · Flexible
Custom
Non-standard scope, phased roadmaps, or budget caps — we quote to fit after a short technical discovery.
MVP builds from $5kFully remoteContra-verified
Capabilities
Technology as proof — not the headline
Production delivery across web, mobile, and cloud — with the same tools chosen for reliability, scale, and deterministic execution.
AI & Autonomous Systems
Multi-Agent & Tool-Calling Architectures
Production-grade agents built with Model Context Protocol (MCP), semantic RAG retrieval, deterministic function calling, and continuous eval loops.
MCP IntegrationVector RAGDeterministic SafeguardsMulti-Agent Orchestration
Web & Cloud Engineering
Edge-First Web & Microservices
Next.js App Router, React Server Components, streaming UI, and edge-distributed cloud workers built for low latency, high throughput, and zero cold-starts.
Next.js App RouterServer ComponentsCloudflare WorkersType-Safe APIs
Mobile & Cross-Platform
Official FlutterFlow & Native Mobile
Official FlutterFlow Expert delivery with custom Flutter codebases, native Swift (iOS) and Kotlin (Android) bridges, and complete App Store release pipelines.
FlutterFlow ExpertFlutter EngineNative Swift / iOSKotlin / Android
Security, Attestation & Scale
Attestation, Zero-Trust & Vibe-Rescue
App Check hardware cryptographic attestation, deterministic Firestore security rules, SOC2-aligned auth, and rescuing raw AI prototypes into production-hardened apps.
App Check AttestationDeterministic RulesVibe-Code RescueZero-Trust Auth
Stack & platforms
17+ production-verified tools & platforms
Python
Flutter
Firebase
Supabase
Google Cloud
AWS
Microsoft Azure
Microsoft .NET
Swift
Kotlin
Jetpack Compose
Vue.js
Node.js
Go
Rust
React Native
Next.js
Python
Flutter
Firebase
Supabase
Google Cloud
AWS
Microsoft Azure
Microsoft .NET
Swift
Kotlin
Jetpack Compose
Vue.js
Node.js
Go
Rust
React Native
Defense-in-Depth & AI Governance
Security for New Agentic Platforms, Extensions, Apps & Engines
Hardened architecture protecting frontier AI agent loops, browser extensions (Manifest V3), and production web/mobile backends across Cloudflare, Google Cloud, and Microsoft Azure.
NEXT-FRONTIER AI SENTINELAutonomous Runtime Guardian
Meet Xion — The Frontier AI Security Agent
Autonomous defense layer intercepting prompt injections, unauthorized MCP tool calls, agentic drifts, and model-level data exfiltration in real-time. Xion wraps non-deterministic LLMs in deterministic cryptographic safeguards.
Prompt Injection & Jailbreak Neutralization
Strict MCP Tool Call Sandboxing
Agent Drift & Data Egress Firewalls
Deterministic Policy & Schema Assertion
Xion Core Telemetry
v2.4-activeRuntime Policy:Zero-Trust Agent Loop
MCP Sandboxing:Enforced (Isolates active)
Simulated Injection:0 Threats Detected
Cloudflare Edge Security
Zero Trust Network Access (Access, WARP), Turnstile invisible bot shielding, Next-Gen WAF, and automated OpenAPI API Shield schema validation.
TurnstileZero TrustSmart Shield
Google Cloud Defense
Firebase App Check device attestation (DeviceCheck, SafetyNet, reCAPTCHA Enterprise), Cloud Armor ML DDos mitigation, and Secret Manager key rotation.
App CheckCloud ArmorWorkload Identity
Microsoft Azure Hardening
Microsoft Entra ID conditional access, Azure Key Vault HSM secrets isolation, API Management policy sandboxes, and Azure AI Content Safety guardrails.
Entra IDKey Vault HSMContent Safety
Extensions & Engines: Manifest V3 sandboxing, declarativeNetRequest rulesets, offscreen document isolation, and CSP Level 3.Read Full Security Blueprint →
Free AI readiness scan
Lead magnet — not a sales pitch deck
One complimentary scan per email. Useful signal before you book or start a brief.
FAQ
Objections, answered
- You’re solo — can you handle our timeline?
- Yes. Focused builds and hardening sprints stay with me as your senior lead. For big projects I bring a whole team — trusted engineers, designers, and specialists — while staying your technical lead, and my next company is launching alongside the studio to take on larger programs. I’ve already shipped a full agentic system end-to-end without a traditional engineering team, so one lead plus the right agents moves faster than you’d expect.
- Do we need to know RAG vs MCP vs fine-tuning before we talk?
- No. Start with the outcome. I recommend the architecture after we understand the product constraints.
- What about IP and code ownership?
- Client materials stay yours. Paid deliverables follow the written statement of work — typically you own the work product for the engagement.
- Can you harden an AI prototype we already built?
- That’s a core offer. Lovable, Bolt, Cursor, v0, Replit, and FlutterFlow prototypes are common starting points for Prototype → Production work.
Book a call or start a project
Production AI agents and apps for the frontier era. Work directly with the founder-engineer.
Or browse engagements and projects.