Turn your curiosity into a small learning project
A simple way to move from ‘I want to learn that’ to something you can actually try this week.
Read the field noteLEARN
Ideas, questions and practical knowledge for a changing world.
EXPLORE A CONNECTED COLLECTION
What is AI doing? Where does it fail? What should we learn differently? Follow a journey from foundational concepts to practical verification and independent judgement.
Begin with a question, explore the mechanisms behind it, and try something you can evaluate. These resources are organised around ideas and their relationships, rather than publication dates.
Explore the AI learning journey ↗APPLY AI TO MARKETING
Move from understanding the technology to applying it to marketing strategy, execution and decision-making. Start with the customer problem, follow the evidence and judge automation by the outcomes it serves.
Explore audience research, content, paid media, social, search, analytics and governance as connected parts of a marketing system.
Explore AI in Digital Marketing ↗OPTIMIZE AI SYSTEMS
Understand what drives AI cost, choose capability for the task and reduce waste without weakening the result. Measure the full path from request to accepted outcome.
Apply a practical framework across models, context, reasoning, output, verification and ROI.
Explore AI cost & performance ↗AUTOMATE WITH CONTROL
Move from answers to bounded action. Understand how agents choose tools, retain state, observe results and decide whether to continue, ask, escalate or stop.
Design around capability, permission, cost and human oversight, then evaluate the full path before expanding autonomy.
Explore AI Agents & Automation ↗DISCOVER IN AN AI-MEDIATED WORLD
Understand how discovery changes when search results, generated answers and assistants can resolve a question before a website visit—or create a new reason to seek the source.
Connect SEO, AEO and GEO through one practical aim: create information that can be found, understood, trusted, retrieved and referenced.
Explore Search in the AI Era ↗These sample field notes introduce the kind of learning we’re building. Practitioner and guest-author contributions will follow.
A simple way to move from ‘I want to learn that’ to something you can actually try this week.
Read the field noteMove beyond quick answers with a few questions that make the real problem easier to see.
Read the field noteTurn a lesson from your own experience into a clear, generous explanation for someone else.
Read the field note