01
Discovery
Clarify the outcome, audience, constraints, and product scope. Turn the brief into a prioritized plan before committing to the build.
How to engageFounder-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.
Selected projects
Customers ↗Independent on
Verified
- $50k+earned on Contra
- 33Contra hires
- 5.0rating
- 14five-star reviews
Engineering & AI delivery
From the first question to a product people use.
02
Architecture
Map the systems, data, integrations, and AI boundaries. Define how the product works, where agents can act, and where human approval belongs.
AI Product Engineering03
Design
Shape the journeys, interfaces, and interaction states. Turn the product plan into screens that make the next step clear.
Customers04
Engineering & AI
Build the application, workflows, and agents together. Connect product features to the systems they need, with you in the loop throughout delivery.
AI Automation & Agents05
Validation
Test the product journey, evaluate AI behavior, and review security and performance. Make the release ready for real users and real operating conditions.
Prototype → Production06
Launch & evolution
Release, monitor, and hand over the product. Use the feedback loop to improve what ships, with optional ongoing engineering after launch.
Embedded AI / Ongoing Product EngineeringFour 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
01About 1 week
AI / Product Discovery Sprint
from $2k
Architecture, use case, specification, risks, and a clear cost model — so you know what to build before you build it.
- Technical architecture & system blueprint
- Scope boundaries, risks & feasibility analysis
- Priced sprint estimate ready to share with investors
02Typically 4–8 weeks
Production Build
from $5k
Complete implementation for web, mobile, and AI product surfaces — design through production ship.
- Full-stack web, mobile, and AI agent engineering
- Deterministic data layer, auth, and cloud security
- End-to-end testing, QA, and store/cloud deployment
03Hardening sprint
Prototype → Production Sprint
Scoped after review
Rescue Lovable, v0, Cursor, Replit, and FlutterFlow prototypes: security, auth, payments, architecture, monitoring.
- Refactoring raw Lovable, v0, Cursor or FlutterFlow code
- App Check attestation, Firestore rules, and secrets isolation
- Performance optimization, schema migrations & CI/CD
04Monthly / ongoing
Embedded AI / Product Engineer
from $10k
Ongoing product engineering with direct founder access — roadmap, shipping, and production judgment.
- Direct founder-level senior engineering in your team
- Weekly sprint ownership, PR reviews, and roadmap delivery
- Continuous production hardening and architecture guidance
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.
Stack & platforms
17+ production-verified tools & platforms
AI models & platforms
OpenAI
Claude
Gemini
Grok
Mistral
DeepSeek
The studio toolkit
Different tools.
One connected product.
Explore the tools behind the work. Open a piece to see its practice, or mix the puzzle and slide the pieces back into place.
Eight tools. Plenty of possibilities.
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 customers.