Services

Build the machine.
Your team runs it.

I build the Context Layer — the foundational operating context that lets AI agents run your marketing with the precision, style, and strategic intent of your best marketer, then hand the controls to your team. Not a chatbot. Not a dependency. The infrastructure that makes an AI-first go-to-market actually work.

01

Conversation

30 minutes. No pitch — just signal.

02

Diagnostic

2-4 weeks. Map every gap.

03

Build

30-90 days. Deploy the layer.

Built by one architect, run by your team — the system handed to your team to operate

Is this you?

  • You're a CEO, founder, or CRO at a Series B through pre-IPO B2B SaaS company
  • Your team has AI tools but nothing feels different — output went up, pipeline didn't move
  • You're asking: Should I hire a Head of Marketing or build an AI-native system?
  • How many marketers do I actually need? What does marketing look like in 18 months?
  • You can picture the problem — you cannot picture the solution

The Context Layer makes the solution visible.

The CMO function, rebuilt

Every job a marketing leader owns — rebuilt for AI-first.

Same six jobs. The difference: I don't perform them by the hour — I encode each into your Context Layer, let governed agents run it at scale, and hand your team the controls.

Strategy your agents can execute

Your GTM strategy encoded into the Context Layer as machine-readable operating context every agent and teammate runs from — so it drives every output, not a slide nobody opens.

Classic · Strategic planning

On-brand by default, at machine scale

Brand and voice encoded as a spec the agents obey — so the same brief stops producing five different companies.

Classic · Brand management

Demand gen that runs itself — and gets you cited by AI

Campaigns running on the Context Layer, plus AI visibility across ChatGPT, Perplexity, and AI Overviews — where your buyers now start.

Classic · Digital marketing

Content as a system, not one-offs

Topic architecture and templates encoded so agents produce content that compounds — and is built for AI to cite, not decay the week it ships.

Classic · Content strategy

Measurement the system acts on

Targets and feedback loops encoded so the GTM learns what actually moves pipeline and reallocates — not a dashboard nobody reads.

Classic · Marketing analytics

Your team governs the fleet, not grinds output

I transition your team from doing the work to steering an agent fleet on the Context Layer — you keep a capability, not a dependency.

Classic · Team leadership

Everything we build and run.

From go-to-market strategy to the agents that run it, strategy and execution under one roof. Every service plugs into the same Context Layer, so the whole system compounds instead of fragmenting.

AI strategy that ends in pipeline, not pilots.

Every GTM team is running AI pilots. Few can point to the pipeline they moved. We turn AI from a theoretical priority into production infrastructure: strategy, governance, and embedded implementation, all tied to revenue.

Strategy & Roadmap

A pilot-to-production roadmap with clear kill criteria. No more AI theater.

Governance & Controls

Rules, harnesses, and evals. Data policies and guardrails so nothing drifts off-brand.

Embedded Implementation

Working agents in your stack, running on the Context Layer. We ship, not slide.

Services · engagement shape

Three shapes. One direction.

Most companies start with the Diagnostic and self-select into the Sprint within three weeks. Not everyone should buy the Sprint. The Diagnostic tells us both.

Digital Context Audit

Scoped to your stage2–4 weeks

Teams who suspect something is broken but can't name it.

  • Audit of current operating context
  • Friction map across the funnel
  • Coherence Model diagnosis
  • 12-page anonymized benchmark report
  • One 90-min readout
Start here
Most pick this

Context Layer Sprint

Tailored to scope30–90 days

Teams ready to build the infrastructure.

  • Everything in Diagnostic
  • Full Context Layer build (6 components)
  • Machine-readable brand + ICP spec
  • Content model + schema deployment
  • KPI framework + dashboard
  • Agent / tool integration handoff
  • Weekly Tuesday standups
Book a Sprint call

Advisor Retainer

Ongoing partnershipMonthly, 6-mo min

Teams with a Context Layer in place who want ongoing calibration.

  • Bi-weekly strategic syncs
  • Context Layer updates as you scale
  • GTM leader coaching
  • Slack + async access
  • Quarterly physics re-diagnosis
Add after Sprint

Also Available

Digital Context Audit™

A standalone AI visibility and GTM diagnostic. Tests 15-20 buyer queries across ChatGPT, Perplexity, and AI Overviews. Audits content authority and organic pull. Delivers findings, priority gap list, and 30-day action plan. Often serves as the entry point to the full Context Layer engagement.

Learn more

GTM Strategy

Focused GTM engagements — positioning, ICP development, pipeline mechanics, competitive framing. For companies that need strategic clarity before building infrastructure.

Learn more

How It Starts

01

Conversation

30 minutes. You tell me what you're seeing — or not seeing — in your marketing results. I tell you whether the Digital Context Audit is the right move or if something else would serve you better. No pitch, just conversation.

02

Diagnostic

2-4 weeks. I assess your marketing function across all six components of the Context Layer. You get a gap analysis, architecture blueprint, and build plan.

03

Build

30-90 days. The Context Layer gets built, deployed, and connected to your stack. Your team gets trained. The system compounds from day one.

Before You Hire, Build, or Buy

Know what you're actually missing. The diagnostic maps the six forces — mass, context field, surface area, friction, momentum, and escape velocity — against your current state and tells you what to build, in what order.

Start the conversation