Odyssey Lab — Codified AI-orchestrated marketing-engineering practice

Odyssey Lab

Design, dev, analytics, tagging, Google Ads, SEO, AIO, GEO, and CMS run as one practice on the same foundation. Codified AI implementers do the work that usually splits across five vendors. Mastery-tier execution at boutique-agency prices.

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The lab in one line

Mastery-tier work at boutique-agency prices. The implementers are real systems with names.

One operator directing a roster of codified AI implementers. Mastery-tier execution at boutique-agency prices because the stack is integrated end-to-end and the implementers are real systems with names. Selective by design, intentionally small caseload. Currently exploring senior full-time and fractional roles where this practice scales to company-wide application; the lab continues either way.

The integrated stack

What the lab does

Design, dev, analytics, tagging, Google Ads, SEO, AIO, GEO, and CMS are one integrated practice here, not a stitched-vendor handoff. The Odyssey design skill produces layouts and patterns. The ad-ops skill runs Google Ads optimization, built on roughly $1M in career-level managed spend. GTM and GA implementations get baked into every build at elite-tier depth. Per-client copywriting bots train on each client's voice substrate. Mobile UX behaves more like an app than a brochure: actions at thumbs, persuasive content at fingertips, schema-first and component-driven underneath.

Public proofs

Receipts

TITAN Research Engine

Multi-agent CLI research protocol that runs in Claude Code. Adversarial filtering, triangulation, red-team synthesis pass.

~$1M in managed Google Ads spend

Across years and accounts of career-level Google Ads work. What runs now is the codified ad-ops skill: reliable optimization targeting high-value low-demand search, with hyper-focused ad landing pages baked into the site system.

The agency analytics + reporting backend

Vercel + Inngest + Tremor + Anthropic API. Inngest functions handle data retrieval from Google Ads, GA4, and GTM. The Anthropic API drafts the weekly client reports. Tremor renders the dashboards. The same runtime handles custom backend logic well past what Zapier and Make can do.

“marketing unicorn… the prototype for a new breed of Marketing DevOps professionals”

— Baker Johnson, then VP Marketing at Serenova

The arc

How an engagement unfolds

Foundation

Opens with the deep-dive intake, web scrape, and voice-of-customer pass that produces the per-client knowledge set. From there: integrated foundation off the old stack, conversion baseline, on-page SEO + AIO + GEO, mobile UX that behaves like an app, lead-delivery email design, GBP where local. Ships live.

Punch-up

Surfaces from real-user data 30 to 60 days post-launch. Conversion-pattern audits against actual traffic, review-count social proof, A/B test setup, additional ad landing pages where search demand maps, deeper analytics-tracking-reporting infrastructure.

Depth

60 to 90 days past Phase 1. Custom CMS where content scope warrants, advanced portfolio or schema architecture, foundations that reuse across the multi-tenant platform, retainer transition where it fits the cadence.

Working with the lab

Selective by design. Premium pricing, intentionally small caseload. Most engagements scope into a three-phase value-ladder: get you off the old stack and onto the integrated foundation, then post-launch CRO punch-up from real-user data, then enhancement and system depth as the foundation compounds. Full framing on the About page.