Services / Fractional AI Architect

Fractional AI Architect for Startups: Part-Time CTO-Level Guidance Without Full-Time Cost

Reserve 20-40 hours per month of senior engineering to design RAG systems, MCP integrations, and production-ready AI platforms. You get architecture, code, and hands-on development from one engineer who has shipped at scale for 15 years.

CodeWheel stays independent on purpose—you work directly with the architect advising investors and writing the code. Perfect for pre-seed to Series A startups that need a CTO-level partner but don't want to hire full-time or juggle an agency team.

Review retainer pricing

Who this is for

  • Founders who need a senior engineer to own RAG/agent architecture while the team ships product.
  • Teams preparing for enterprise diligence (SOC 2, security questionnaires) and needing guardrails baked in.
  • Startups running AI pilots that must become reliable features with observability, incident response, and cost controls.
  • Companies modernizing from Rails/Drupal/WordPress to a Next.js + Supabase/Neon stack with AI features.

Outcomes we target

  • A production RAG + MCP architecture with tenant-safe retrieval, eval harnesses, and cost controls.
  • Shipping AI features that work reliably with clear runbooks for edge cases and incidents.
  • Documentation packets investors and customers can trust (architecture diagrams, API specs, testing evidence).
  • Engineering velocity with a repeatable cadence: plan, build, test, ship-every month.
CodeWheel core consulting services
CodeWheel core consulting services: AI platform development, legacy modernization, and fractional AI architecture.

Why choose fractional instead of hiring or contracting?

Fractional gives you executive-level ownership with the flexibility of a retainer. You gain architectural depth, production security, and delivery velocity without onboarding a full team or training a junior hire on the job.

Hands-on CTO leverage

Architecture decisions map to implementation. I author RFCs, write production code, review pull requests, and run QA so strategy and execution stay aligned.

Quality baked in

Every sprint includes code review, testing, and documentation artifacts for investor diligence. No last-minute scrambles before your raise.

Predictable cost

Monthly retainers are scoped to the hours you need (typically 20-40). No recruiting fees, no agency multipliers, and no unexpected staffing changes.

What you get every month

A repeatable cadence across architecture, development, and security so the platform moves forward every week.

Architecture & planning

  • RAG/MCP architecture docs with context budgets and eval plans
  • Backlog prioritization aligned to fundraising or launch goals
  • Vendor/tool selection with cost modeling
  • Weekly working sessions and async Loom recaps

Implementation & delivery

  • Hands-on Next.js/Supabase development using Cursor + Claude
  • CI/CD wiring with Playwright tests and code quality checks
  • Production hardening and guardrails before release
  • Documentation + handoff artifacts for investors or customers

Engagement packages

Pick a retainer size that fits your runway. All packages include architecture + implementation + security.

Starter (20 hrs/mo)

Architecture + guidance

  • Architecture docs for 1-2 features (RAG/agent flows).
  • Code review and quality checklists.
  • Weekly working session + async reviews.

Core (30 hrs/mo)

Plan + build + ship

  • Hands-on implementation for RAG/agents/Next.js features.
  • CI/CD with evals and automated testing.
  • Monthly status packet for investors/customers.

Scale (40 hrs/mo)

Ship faster, scale up

  • Parallel streams (feature build + testing + observability).
  • Full test coverage with Playwright and automated checks.
  • Architecture oversight for contractors or internal team.

Engagement cadence

Each month follows a consistent rhythm so the team knows what to expect.

Step 1

Plan & align

We define goals, staffing constraints, and risk areas for the month. Architecture docs and acceptance criteria get drafted up front.

Step 2

Ship & review

I build features, run security tests, and review team contributions. Weekly calls keep stakeholders aligned and unblock decisions.

Step 3

Audit & document

Each month ends with a status packet: shipped features, security posture, risks, and next steps. Ideal for investor updates or diligence packets.

Production-ready from day one

  • Multi-tenant architecture with proper data isolation across APIs, agents, and vector stores.
  • RLS-first data models and tenant assertions baked into every query.
  • Observability with tenant-tagged logs, traces, and replayable agent/tool calls.
  • Incident playbooks for hallucinations, edge cases, and runaway costs.
  • Documentation packs for investor diligence (architecture diagrams, API specs, test evidence).

Tooling & stack I standardize

  • Next.js + Vercel + Supabase/Neon/Postgres for app + data.
  • Clerk/Auth0 for auth; Stripe/Paddle for billing; PostHog/Sentry for telemetry.
  • pgvector/Qdrant for RAG; hybrid search (BM25 + embeddings); rerankers where needed.
  • MCP servers for safe tool exposure; LangChain/LangGraph or direct OpenAI/Anthropic APIs.
  • CI/CD with Playwright, automated code checks, and cost monitoring.

Example outcomes (anonymized)

A few representative engagements that show the mix of architecture and hands-on development.

Fintech SaaS

Multi-tenant RAG copilots

  • Hybrid retrieval with tenant filters + rerankers.
  • Shipped to production in 8 weeks with zero critical issues.
  • Eval harness improved answer accuracy by 19%.

Developer platform

Agent + MCP safety

  • Tool registry with RBAC + per-tenant sandboxes.
  • Observability traces for every agent/tool call.
  • Cost caps and kill-switches for runaway loops.

Healthtech

Compliance-ready AI features

  • PII/PHI redaction pre-embedding; audit trails end-to-end.
  • Full test coverage with Playwright wired into CI.
  • Investor-ready packet with diagrams, controls, and documentation.

FAQ

Honest answers before you bring on a fractional architect.

What is a fractional AI architect engagement?

It’s a part-time retainer where I act as your CTO-level architect 20-40 hours per month. I design RAG/MCP architectures, write code, run security reviews, and guide your roadmap without the cost of a full-time hire.

How long is the commitment?

Most retainers run 3-6 months with the option to extend. That window gives us enough time to architect, implement, and harden core features before handing off or planning the next phase.

Do you also handle development work?

Yes. I stay hands-on with Next.js, Supabase/Neon, Clerk, Stripe, LangChain, MCP servers, and security tooling. Architecture guidance comes with implementation, code review, and QA-not just slide decks.

Can we pause or scale hours?

You reserve a monthly block (20-40 hours). We can scale up or down with notice, but I cap active retainers to keep delivery predictable. If you need ad-hoc help later, we can convert to an advisory retainer.

Do you help with investor diligence?

Yes. I prepare architecture documentation, security posture summaries, and technical deep-dives that investors expect during due diligence. Many founders bring me in specifically before fundraising rounds.

Ready to reserve fractional architect time?

Book a quick consultation to review your roadmap, security requirements, and timeline. If it's a fit, we pick a start date and block the hours.