Library
Your Marketing Agent Needs a World, Not Another Prompt: Building Marketing Agentic Systems the Palantir Way
A marketing agent needs a reliable way to connect a request to real campaigns, approved requirements, evidence, permissions, and outcomes. Palantir's Ontology offers one useful model for that operational layer.
Building to Learn: What Three Weeks of Prototyping Taught Us About Agentic Marketing Optimization
A three-week prototype explored whether simulated product-intent scores could help improve AI shopping visibility. The work exposed a useful boundary: a lab can assess semantic fit, but only external evidence can test discovery or business impact.
The Anti-Slop Marketing Stack: How Brands Stay Distinct When Everyone Has AI
AI has made content production cheap. Cannes shows what becomes scarce next: judgment, memory, taste, evaluation, and the systems that help brands recognise what deserves to exist.
Secure Marketing Agents: A Reference Architecture for DV360 and Google Ads Automation
How to let marketing agents analyse and propose campaign changes while identity, policy, approval, and execution controls keep authority bounded and reviewable.
Distribution Alone Is Not a Moat: The Growth Playbook for the GPT Ads Era
Meta, YouTube, Google and ChatGPT do different jobs in a company’s growth system. AI is making each one easier to operate and easier for competitors to copy.
The Empowerment Imperative: What Should Agentic Marketing Optimize?
Marketing systems can optimize measurable actions. This essay asks what else they should protect, how to turn human agency into a design question, and what evidence would test the proposal.
A New Front Door: What OpenAI DevDay 2026 Means for Brands, Reach and Marketing Operations
What DevDay's connected announcements mean for brand discovery, persistent customer tasks, shared marketing work and software adoption, with a practical workflow for building and evaluating a useful service.
Meta Built the Ad Machine. OpenAI Built the Agent. Who Controls the Agentic Marketplace?
Meta and OpenAI approach agentic commerce from opposite directions. Follow the complete system to see how customer delegation, merchant access, payment, memory and measurement could reshape platform power.
Jev as Ad Tech's System 1: Fast Decisions, Slow Learning
How marketing agents can use Jev to classify search terms, tag creative, route leads, process customer feedback and verify proposed actions while code and people keep control.
When Your Customer Stops Opening Your App: Marketing in the Agent-Owned Web
As agents carry customer goals across services, apps may become capabilities inside longer workflows. What changes for discovery, retention, authority, and marketing when the interface is no longer the relationship?
Who Owns the Pixel? ChatGPT and the Repricing of Advertising
ChatGPT ads put conversational context and advertiser outcome data on different sides of a measurement boundary. That changes what brands and agencies can know, test, and credibly claim.
Cannes Lions 2026: When the Product Becomes the Creative Idea
SOS POS, Uber Eats and UVA show how a service, an app and a cultural moment can become creative material. What must a team build around an idea to make it work?
The Agentic Commerce Readiness Stack: From Product Discovery to Authorized Action
Commerce readiness needs two kinds of evidence: that an agent can interpret a product for a defined need, and that any action follows verified authority. Simulations help test hypotheses but do not establish visibility on shopping platforms.
ChatGPT Ads: An Agency Playbook for a Controlled Test
How to design, instrument and evaluate a ChatGPT Ads pilot, from account access and creative to conversion events, bidding, independent reporting and a credible decision about what to do next.
The Deterministic Core: Algorithms and Data Structures for Marketing Agents
A practical guide to the search, ranking, graph, deduplication, and memory operations around marketing agents, with the assumptions and limits that matter in production.
Portable Intelligence: What Plugins Are and How Marketing Teams Can Use Them
A practical guide to packaging marketing skills, tools, and workflows for agent platforms, with a current comparison of Claude Code and OpenAI plugin formats, portability limits, and team governance.
The Enterprise AI Adoption Framework: Four Parts for Governed Innovation
A practical framework for turning practitioner experiments into supported organisational capability through an approved catalogue, a bounded sandbox, a clear promotion path, and shared education.
The Code Agent's Playbook: Maintenance, Security, and Controlled Improvement
Build a coding-agent maintenance system with useful skills, independent validation, performance evaluation, enforced guardrails, isolated workers, controlled releases, and a reviewed loop for improving the harness.
The Map That Talks Back: Gemini, Local Discovery and Geography-Based Advertising
Gemini connects local questions to place recommendations, navigation and supported actions. What must work between a useful answer and a successful visit, and what changes for local businesses, advertising and human choice?
Your OpenClaw Marketing Agent: From Setup to Reliable Operation
Build a bounded OpenClaw marketing assistant, from workspace instructions and skills to authorised data access, report validation, evaluation, scheduled work, isolated deployment, and recovery.
The Muscles of the Machine: Designing the Marketing Agent's Tool Layer
How to build and operate marketing-agent tools through MCP, CLI, or both, with explicit contracts, validation, permissions, evaluation, and deployment boundaries.
The Anatomy of a Marketing Agent: From Request to Verified Outcome
How reasoning, memory, skills, tools, validation, permissions, deployment, and evaluation work together, from a single marketing agent to coordinated teams.
The Agent Architect's Playbook: Designing Marketing Work and Reusable Skills
Define a marketing workflow, its success criteria, evidence, permissions, and evaluation plan, then package recurring expertise as a reusable skill.
The Answer Independence Paradox: Trust and Incentives in AI Commerce
OpenAI says ChatGPT ads can use conversation context without influencing answers. How can that separation be tested, and what would make a product recommendation worth trusting?
The Geometry of Intention: What Behavior Can Tell Us About Human Goals
Clicks and searches reveal what people do. Context can help us infer why, but a useful system must remain open to being wrong.
Memory & Agency: What Should an Agent Remember?
A useful agent memory keeps the evidence, context, and limits behind a lesson so it can be tested before being used again.
The Phenomenology of Search: From Similarity to Reasons for Trust
How learned representations help search find meaning, why credibility depends on reasons and social practices, and what evidence an answer needs to carry forward.
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