AI-native marketing for operators and builders.
Modules 00 – 1.10. Two tracks inside.

How to Know What You Actually Know. The epistemic operating system that runs underneath every module — confidence scoring, conditions, and the Brief format.

Unlearn legacy tactics. Master consumer psychology and the financial math behind modern market survival. Serves both tracks with different assignments.

See the shift from link-based to answer-based search, the four consequences for every marketing function, and where your marketing is invisible to the new buyer. Serves both tracks with different assignments.

Learn the six-step research method: name the source, look for disconfirmation, extract your buyer's actual vocabulary, and produce a research brief that survives scrutiny. Serves both tracks with different assignments.

Learn how AI engines choose their sources: the retrieval pipeline, the five citation signals, the content structures that win citation, and how to run a controlled citation test. Serves both tracks with different assignments.

Assemble research, positioning, channels, budget, sequencing and measurement into one defensible plan: the eight components, the AI-era channel mix, and how to define what “working” means before you launch. Serves both tracks with different assignments.

Design the architecture that produces your own signal: the four types of data you can own, zero-party exchanges, server-side tracking, identity resolution and predictive vectors. Serves both tracks with different assignments.

Design, build and govern agents that produce leverage without liability: the authority chain, system prompts, multi-agent orchestration, when not to deploy, and the execution log. Serves both tracks with different assignments.

Run paid media when the platform decides the targeting: feed the algorithm, structure a creative matrix, measure contribution beyond last-click, and defend the budget to a CFO. Serves both tracks with different assignments.

Master the four numbers that decide whether a marketing system is profitable: CAC, LTV, payback velocity and the 3:1 health ratio, and build a model you can stress-test. Serves both tracks with different assignments.

Assemble everything from Level 1 into one defensible marketing plan for a real business, defend it against the CFO, the CEO and the Board, and stress-test it. Completing it finishes Level 1. Serves both tracks with different assignments.

Design a joint sales-marketing operating model: a shared ICP, a shared scoring model, a joint cadence, an escalation path and governance for AI-assisted SDRs. Serves both tracks with different assignments.

Build a live intelligence function: monitor competitive, citation, intent and category signals, set thresholds and decision triggers, and run a daily, weekly and monthly cadence. Serves both tracks with different assignments.

Replace last-click with a measurement stack that survives the zero-click world: Marketing Mix Modelling, incrementality testing and data clean rooms, and a framework you can defend to a CFO. Serves both tracks with different assignments.

Price with evidence, not instinct: the four pricing models, the Van Westendorp method, conjoint analysis, tiering, and how to change a price without damaging revenue. Serves both tracks with different assignments.

Design, seed and defend a category: how to spot an opening, build the language framework, seed it through analysts, press, community and AI training data, and measure ownership. Serves both tracks with different assignments.

Serve the enterprise buying committee: the six roles, the five artefacts every deal needs, multi-stakeholder content, co-marketing with analysts and partners, and the metrics that fit a long cycle. Serves both tracks with different assignments.

Design the team shape for 2026: the four functions, hiring signals that test judgment, pay that rewards it, a training ladder, a right-sized tool stack, and the individual career shape. Serves both tracks with different assignments.

Prepare marketing for a new market: scope the launch, control claims and evidence, validate local expression, separate buyer requirements from legal questions, and build a comparable measurement plan. Serves both tracks with different assignments.

Present marketing in the language of the board: the four questions a board asks, metric translation, the six-slide deck, defending the budget under challenge, preparing for a downturn, and the relationship between meetings. Serves both tracks with different assignments.

Assemble the eleven Level 2 components into one operating system for a real business, defend it to the CEO, CFO and CMO, stress-test it, and compress it into one page. Serves both tracks with different assignments.

Design an agent that acts on its own authority: the authority chain, the system prompt, the self-monitoring loop and the execution log, and when not to deploy one at all. Serves both tracks with different assignments.

Build and validate three predictive models: who is ready to buy, who is about to leave, who is about to grow. Learn the three ways models fail, how to turn a score into a signal that triggers action, and when not to deploy one. Serves both tracks with different assignments.

Design the six layers that prediction, activation and governance run on: identity resolution, the event pipeline, the warehouse schema, reverse ETL and a governance layer that can stand up to an audit. Serves both tracks with different assignments.

Build a brand system that stays coherent when AI produces at scale: the voice system, the review rubric, the memory architecture and the human oversight layer, and where AI must not operate. Serves both tracks with different assignments.

Run marketing as a product organisation: the sprint cadence, the experimentation infrastructure, growth loops that can compound, and a roadmap that ships. Learn where the operating model fails. Serves both tracks with different assignments.

Tell category design from category creation, test whether an opportunity exists, build the language framework, seed the category through analysts, press, community and AI answers, defend it, and measure whether it is yours. Serves both tracks with different assignments.

How the retrieval pipeline is described in published analysis: chunking, the signals that may influence citation, reranking, and how to run a controlled citation test with repeat runs and controls. Where the evidence is thin, it says so. Serves both tracks with different assignments.

Map the four regulatory layers, run a documented compliance audit, localise rather than translate, govern the strategic core and local expressions, and measure each market against its own baseline. Serves both tracks with different assignments.

Detect and verify AI-amplified reputation threats, separate evidence from attribution, run a six-stage response protocol, preserve deepfake evidence, and rebuild trust through visible commitments. Serves both tracks with different assignments.

Select one Level 3 capability, assemble a permitted live, shadow or clearly labelled constructed deployment, measure the evidence, defend the outcome and stress-test the failure modes.