Fractional AI Architect & Builder

Production AI Systems for Engineering Teams

AI agents, orchestration, MCP tooling, and secure platform integrations - shipped with the judgment to adapt as requirements evolve. Security-first by default.

AI platform development & AI agent orchestration for US-based teams · One team that adapts with your product

How the fractional model works

Services

Three ways to work together

Whether you need strategic guidance, a production-ready platform, or help passing security reviews—CodeWheel builds and ships alongside your team.

Fractional AI Architect

Part-time CTO guidance covering architecture, product strategy, and hands-on development. Senior technical leadership on retainer without the full-time hire.

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AI Platform & SaaS Development

Production AI platforms with Next.js, MCP agents, tool orchestration, auth (Clerk), and billing (Stripe). From MVP to launch in weeks, not months.

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AI Agents & Automation

MCP servers, autonomous agents, and workflow automation that connect your tools — Jira, Stripe, HubSpot — with RBAC, audit logging, and human-in-the-loop approvals.

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15 years

Production engineering at Tesla, SaaS startups, and agencies

Boutique studio

Direct access to senior engineers-no account managers, no handoffs

Full-stack AI

From agent orchestration to production deploy, one team ships it all

Specializations

What we specialize in

Agent & MCP Development

Production MCP servers and AI agents with RBAC, audit logging, and tool gating. Orchestration that survives security reviews, not just demos.

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Workflow Automation

Connect CRMs, billing, support, and dev tools so agents handle the repetitive work — ticket triage, data sync, report generation — with guardrails and audit trails.

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RAG & Retrieval

Production retrieval pipelines with pgvector, hybrid search, and context management. Integrated into agent workflows or standalone.

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The stack we ship

Production AI platforms, not prototypes

Next.js + Vercel for the frontend. MCP servers and LangChain for agent orchestration. Neon Postgres with pgvector for retrieval. Clerk for auth, Stripe for billing. Battle-tested stack that scales from MVP to enterprise.

See the full stack View reference architectures

AI platform architecture with Next.js, MCP agents, and tool orchestration

Fit check

Who we work best with

Ideal clients

Teams building AI-first products that need senior architecture and security from one partner.
Founders and engineering leads who want direct access to the engineers doing the work.
Companies preparing for due diligence, vendor security reviews, or compliance readiness.

Not the best fit

Programs that require formal compliance attestation bodies (SOC 2 auditors, ISO certifiers).
Organizations that need 24/7 SOC or dedicated on-call coverage.
Engagements looking for a large agency with dedicated account managers and project coordinators.

From the blog

Latest on AI platforms, agents, and shipping fast

Dec 31, 2025

Drupal to Next.js 16: Migration Guide with jsonapi_frontend

Migrate Drupal 10/11 to Next.js 16 using jsonapi_frontend - a permission-aware JSON:API resolver. Run alongside Drupal or migrate fully with AI-ready architecture.

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Dec 27, 2025

Prompt Injection Testing: Methodology, Tools & Attack Patterns

A hands-on methodology for testing prompt injection vulnerabilities in LLMs, RAG systems, and AI agents-attack patterns, tools, and defense validation.

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Dec 1, 2025

Choosing the Right LLM: OpenAI vs Anthropic vs Open Source for Production

A practical guide to selecting LLMs for production AI platforms. Compare GPT-5, Claude Opus 4.5, Llama 4, and more across cost, latency, and capability.

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