What is an AI marketing agent? A definition with examples
A plain-English definition, the five parts that make one work, examples by marketing job, and five checks for any product sold under the label.
29 min read
AI Marketing Agents
Understand what marketing agents can do and how to evaluate them.
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What is a computer-use agent? How browser agents do real marketing work
How computer-use agents work, a three-question test for which marketing jobs need one, four worked examples, and the controls, brief template, and checks to use before you trust the result.
43 min read
Which AI model is best for marketing? How to choose by task, not leaderboard
A marketing team's jobs need different things from an AI model, and no leaderboard tests your own briefs. Learn which differences matter, how to match a model to each job and how to test candidates on your work in about an hour.
44 min read
How to build an AI marketing stack (without paying twice for the same job)
A stack map by marketing job with keep, consolidate, or cut calls, a stack audit worksheet to copy, a buying order for lean teams, and a cost model that counts the time behind every subscription.
43 min read
What are AI evals? How marketing teams prove AI work is getting better
How to build a standing test for your team's AI marketing work: a golden set of real briefs, a rubric two reviewers apply the same way, an AI judge checked for bias, and a rerun after every change. Includes a rubric, scoring sheet, and judge prompt you can copy.
43 min read
How to measure the ROI of AI in marketing (hours saved is the wrong number)
An estimate of hours saved can't show what a marketing team's AI spend returned. Learn to price approved work at its full cost, compare it with a baseline, and report the return as a range, with seven formulas, a worked example, and a one-page report you can copy.
43 min read
What is shadow AI? The AI stack your marketing team built without asking
Where unapproved AI hides in a marketing team, the six risks it creates, and a blame-free plan to find it, decide what happens to each tool, and move the work somewhere the whole team can see it.
44 min read
What is an AI-native marketing team? Five stages from first pilot to daily practice
A five-stage model with a readiness self-assessment, the six reasons AI pilots stall and the fix for each, and an operating model that names who owns context, review, recurring work, and quality.
44 min read
What is multimodal AI? What marketers can do when AI can see, watch and listen
What multimodal AI can read and make, how reliable each is, and which marketing jobs to hand it, with the documented failure modes, a worked launch review, a question template and the consent and disclosure questions that faces and voices raise.
43 min read
How do deep research agents work? AI market research you can check
How a deep research agent turns one question into a cited report, where each step of its work can mislead you, and a brief template, a five-step source check and a desk-or-customer test for checking AI market research before you act on it.
41 min read
Why does AI give different answers to the same question? And how to get consistent brand work
Where the differences between two AI drafts come from, which ones help brand work and which ones hurt it, and the controls that keep names, prices, claims and formats steady, ranked by impact. Includes a fixed-and-open brief you can copy and a worked example.
43 min read
Agentic AI vs. generative AI: what's the difference for marketing?
Generative AI drafts what you ask for. Agentic AI takes a goal and works through the steps to reach it. A plain-language comparison for marketers, with one product launch handled three ways.
28 min read
AI agent examples for marketing: 24 jobs from brief to review
Concrete marketing jobs you can hand to an AI agent, with the brief to give, the deliverable to expect, and the check a person makes before the work is used.
29 min read
AI guardrails for marketing teams (with an AI usage policy template)
A prompt can ask an AI agent to stay within limits. Permissions, approval steps, spending caps and a short written policy are what make those limits hold.
29 min read
AI tokens and credits, explained: how AI agent pricing works
What tokens and credits measure, why agent work uses so many of them, how the four pricing models compare, and how to estimate and cap a month of agent spend.
28 min read
Autonomous AI agents: how much autonomy should marketing work get?
An AI agent's autonomy is something you set for each task. This guide explains the levels, what the evidence says about full autonomy, and a four-question test for deciding which marketing work can run without you.
28 min read
General-purpose AI assistant or AI marketing agent? How to choose
Both can produce capable marketing work. The choice turns on who builds and maintains the brand context, methods, tools, model choices, shared access and recurring work around the model.
29 min read
How to prevent AI hallucinations in marketing content
No AI model can promise only true statements. Learn where invented statistics, quotes and citations come from, which ones do the most damage in marketing, and how to keep them out of everything you publish.
29 min read
What are AI agent skills? How they make agents better at marketing
A skill is a method someone wrote down for an AI agent to follow. How skills load, what a good marketing skill contains, how they differ from prompts, tools and MCP, and how to judge them in a product.
28 min read
What is agentic marketing? How AI agents change marketing work
A plain-English definition, a simple model for the three ways agent work starts, and what changes for a marketing team while people keep direction, taste, and approval.
29 min read
What is AI agent memory? A marketer's guide to brand memory
What an AI agent can keep between jobs, what your brand memory should hold and leave out, and a five-step routine for keeping saved facts current.
28 min read
What is AI slop? How marketing teams spot and avoid it
Why polished AI content can still waste a reader's time, how to recognize it in your own marketing, and an editing process that keeps AI-assisted work specific to your brand.
28 min read
What is an agentic workflow? Patterns and marketing examples
An agentic workflow lets AI work through a job in steps, checking and revising along the way. Here's how those steps can be arranged, a marketing illustration of each arrangement, and where a person should check the work.
29 min read
What is context engineering? A guide for marketing teams
A clear prompt tells an AI agent what you want. Context engineering covers what the agent knows as it works: which brand facts, evidence and examples each job needs, where they live, and who keeps them current.
28 min read
What is human-in-the-loop AI? Review points for marketing teams
Five review points for AI marketing work, who should own each one, how deep each check should go, and how to keep approvals from becoming a formality.
27 min read
How to evaluate an AI marketing agent with your own work
Find out whether an agent can do the marketing work you need, how much review its work requires, and what to try before giving it more responsibility.
27 min read
How do AI agents work? A marketer's guide
What happens between your brief and the finished work? A plain-English guide to the parts of an AI agent, with a marketing example to connect them.
27 min read
How to brief an AI marketing agent for better work
A useful agent prompt is less like a magic phrase and more like a good creative brief: clear about the outcome, grounded in source material, and explicit about what needs your approval.
23 min read
From Ampere
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