Fractional AI Content Infrastructure is a consulting engagement where Will Tygart comes in — for a defined period, at a fraction of the cost of a full-time hire — and builds the complete AI-native content operation your business needs: GCP pipelines, WordPress automation, Claude AI orchestration, Notion operating system, BigQuery memory layer, image generation, and social distribution. He builds the machine. You run it.
Most businesses hiring for “AI content” are looking for a writer who uses ChatGPT. That’s not this. This is for the operator who has looked at what AI-native content infrastructure actually requires — Claude API, Cloud Run services, WordPress REST API, vector embeddings, image generation pipelines, persistent memory layers — and realized they need someone who has already built all of it, not someone who will figure it out on their dime.
We run 27+ WordPress client sites, 122+ GCP Cloud Run services, and a content operation that produces hundreds of optimized posts per month across multiple verticals. That infrastructure didn’t come from a playbook — it came from building, breaking, and rebuilding. The fractional engagement transfers that operational knowledge into your business in weeks, not years.
Who This Is For
Agencies scaling past what manual workflows can handle. Publishers who need content velocity they can’t hire for. B2B companies that have decided AI content infrastructure is a competitive advantage and want it built right the first time. If you’re spending more than $5,000/month on content production and still doing it mostly manually — this conversation is worth having.
What Gets Built
- GCP content pipeline — Cloud Run publisher, WordPress proxy, Imagen 4 image generation, Batch API routing — the full automated brief-to-publish stack
- Claude AI orchestration — Model tier routing (Haiku/Sonnet/Opus), prompt libraries per content type, quality gate implementation, cross-site contamination prevention
- Notion Second Brain OS — 6-database Command Center architecture, claude_delta metadata standard, AI session context infrastructure
- BigQuery knowledge ledger — Persistent AI memory layer, Vertex AI embeddings, session-to-session context continuity
- WordPress multi-site operations — Site registry, credential management, taxonomy architecture, SEO/AEO/GEO optimization pipeline across all sites
- Social distribution layer — Metricool + Canva + Claude pipeline, platform-native voice profiles, scheduled distribution from WordPress content
- Skills library — Documented, repeatable skill files for every operation — so the system runs without Will after the engagement ends
Engagement Models
| Model | What It Is | Right For |
|---|---|---|
| Infrastructure Sprint | 30-day focused build — one stack, fully deployed, handed off with documentation | Agencies needing a specific pipeline built fast |
| Fractional Quarter | 90-day engagement — full stack built, team trained, operations running | Publishers and B2B companies standing up a full AI content operation |
| Strategic Advisory | Ongoing async advisory — architecture review, pipeline troubleshooting, new capability design | Teams that have the technical staff but need senior AI content ops judgment |
What You Get vs. a Full-Time Hire vs. an AI Agency
| Fractional AI Infrastructure | Full-Time AI Hire | AI Content Agency | |
|---|---|---|---|
| Proven at scale before engagement starts | ✅ | Unknown | Rarely |
| GCP + Claude + WordPress stack expertise | ✅ | Rare combination | ❌ |
| Builds infrastructure you own | ✅ | ✅ | ❌ (you rent theirs) |
| Documented skills library handed off | ✅ | Maybe | ❌ |
| Cost vs. full-time senior hire | Fraction | $150k+/yr | Retainer + markup |
| Available without 6-month commitment | ✅ | ❌ | Usually no |
Ready to Build the Machine?
Describe what you’re trying to build or what’s breaking in what you already have. Will will tell you honestly whether a fractional engagement is the right fit — and if it’s not, which of the productized services is.
Email only. Honest scoping conversation, not a sales pitch.
Frequently Asked Questions
What’s the minimum engagement size?
The Infrastructure Sprint is the minimum — a 30-day focused build on one specific pipeline or stack component. Smaller individual needs are better served by the productized services (GCP Content Pipeline Setup, Notion Second Brain Setup, etc.) which have fixed scopes and prices.
Do you work with teams or just solo operators?
Both. Solo operators get a full stack built around their workflows. Teams get infrastructure built plus documentation and handoff training so internal staff can operate and extend it independently after the engagement.
What does the skills library handoff actually include?
Every repeatable operation gets a documented skill file — a structured prompt and workflow document that tells Claude (or any AI) exactly how to execute the operation correctly. At the end of the engagement, you have a library of skills covering every pipeline we built together. The operation runs without Will because the intelligence is in the skills, not in his head.
Is this available for businesses outside the content and SEO space?
The infrastructure patterns — GCP pipelines, Claude AI orchestration, Notion OS, BigQuery memory — apply to any knowledge-intensive business producing content at volume. The vertical expertise (restoration, luxury lending, healthcare, SaaS) is a bonus for clients in those niches, not a requirement for everyone else.
Last updated: April 2026
Visual summary
About this image. This image is part of the AI & Technology Concepts collection in the Tygart Media visual library. Every image produced by Tygart Media is AI-generated using Google Vertex AI (Imagen), converted to WebP format, and injected with full IPTC/XMP metadata before publication.
- Format: WEBP
- Collection: AI & Technology Concepts
- Pipeline: Vertex AI Imagen → WebP → IPTC/XMP → WordPress
- Pipeline: Vertex AI Imagen → WebP Conversion → IPTC/XMP Metadata Injection → WordPress Media Library
Leave a Reply