How it works

Three engagement types.
One person builds it.

Not a menu of services. A description of what I actually build and who it's for. If the brief fits, I'm direct about whether I can help and how.

01

AI Production Infrastructure

End-to-end pipeline builds for AI content and film production at scale. Built for studios, production companies, and content businesses that need to remove the human bottleneck from generation without losing quality.

Good fit for

  • ·AI film + TV studios
  • ·Content production companies
  • ·Consumer AI platforms
  • ·Anyone producing at volume who needs quality to hold

Proof

ApeFX — consumer AI platform at $200K+ MRR, all content via automated pipeline built solo.

What gets built

Multi-model routing architecture — choosing and orchestrating the right model for each task type (photoreal, character, video, illustration)

Character development pipelines — LoRA training, dual-reference injection, per-character consistency systems

Generation automation — batching, prompt construction, QC gates, retry logic, CDN delivery

Video production pipelines — Kling, Seedance, or Veo depending on the brief. Script-to-CDN with no per-asset handholding

n8n orchestration — connecting generation, storage, review, and delivery into a single workflow

02

Agentic Systems Architecture

Custom AI agent stacks for companies that need internal AI infrastructure running in production — not prototypes, not prompts in a Google Doc. Systems that operate unattended, remember context, and route work intelligently.

Good fit for

  • ·Series A/B startups building internal AI ops
  • ·Companies replacing manual processes with agent workflows
  • ·Teams that have tried LLM wrappers and need something real

Proof

13 custom agents deployed. 55 live workflows. Running in production across multiple client environments daily.

What gets built

Agent design — role scoping, tool selection, memory architecture, escalation paths

Claude API + MCP server implementation — custom tools, resource access, multi-agent orchestration

Vector context memory — Qdrant setup with per-client or per-domain collections, reindex triggers, context retrieval

n8n orchestration — connecting agents to data sources, external APIs, webhooks, CRMs, and output surfaces

Observability — Grafana dashboards, error handling, circuit breakers, ClickUp escalation

03

Strategic AI Architecture

Systems designed around business outcomes, not just technical correctness. The CMO background changes the brief — I've been responsible for what pipelines produce. I build for distribution, not just operation.

Good fit for

  • ·Founders who need AI strategy that actually ships
  • ·Companies that hired an AI consultant and got a deck
  • ·Pre-Series B startups that want a builder, not an advisor

Proof

CMO track across fintech, crypto, gaming, consumer SaaS. Built the systems I used to wish I could buy.

What gets built

Generative Engine Optimization — systems that produce content cited by AI answer engines (ChatGPT, Claude, Perplexity, Google AI Overviews)

Content production at scale — blog pipelines, social automation, AI content systems aligned to search and discovery

Growth infrastructure — lead scoring, outreach automation, pipeline-to-CRM systems

Fractional AI CTO — ongoing retainer covering architecture decisions, build oversight, and production ops

AI readiness audits — current state assessment, what to build first, where automation breaks down

What it looks like in production

Production infrastructure, agent systems, and content at scale — all running live.

AI production pipeline — character batch
n8n agent orchestration — live workflow
Content output — AI cinematic frame
Agentic system — context stack + Qdrant
GEO content — AI citation output
Pricing

Retainers and one-off builds.

Two structures: ongoing retainers where I run systems for you monthly, or one-off builds where I hand over a production-ready system. Scope always defined before a dollar moves.

Monthly retainers

Foundation

$3,500/mo
  • 1 core workflow system
  • Weekly reporting
  • Monthly strategy sync
  • Up to 3 active workflows
Most popular

Growth

$6,500/mo
  • 2–3 system pillars
  • Bi-weekly strategy sync
  • Full n8n + agent layer
  • Portal access
  • Up to 10 active workflows

Full Stack

$9,500/mo
  • All three engagement types
  • Weekly sync + async support
  • Full agent + automation stack
  • Priority build queue
  • Unlimited active workflows

One-off builds

System Audit

$1,500

Current-state assessment of your AI and automation setup. What exists, what's broken, what to build first. Delivered as a structured scope doc.

Single Pipeline Build

$2,500

One production-ready workflow or agent system. Scoped, built, handed over with documentation. Blog pipeline, lead scorer, generation pipeline, etc.

Full Infrastructure Build

Custom

Multi-system architecture build. Agent stack, n8n fleet, context layer, observability. Scoped on a call. Timeline and price from the scope doc.

All engagements start with a scope call. Pricing confirmed in the scope doc before anything begins.

How to start

One conversation. Then I tell you if I can help.

No discovery call decks. No NDAs before I'll talk. Tell me what you're building, what the problem is, and what good looks like. I'll tell you honestly whether it fits.

If there's a fit, I move fast. Scoping takes days not weeks. I don't run teams — I build the system and you see it running.

01

Reach out

Email or contact form. Tell me the brief in plain language. What are you building, what is broken, what do you need.

02

Quick scope call

20–30 minutes. I ask the technical questions. You get a direct read on whether I can help and roughly what it involves.

03

Scope doc in 48 hours

What gets built, rough timeline, engagement structure. No surprises after this point.

04

Build

I work directly. No account managers, no juniors. If you're asking me a question, I'm the one answering it.

kyle@fatboy.studio