AI Agents for Beauty Marketing Operations
Design, build and govern agentic workflows that run your marketing calendar
Explain how tool use, the Model Context Protocol, memory and orchestration make an agent different from a chatbot
Write an agent specification that a developer or a no-code builder can implement
Build a review-mining agent that turns customer language into positioning and product input
Automate retailer and retail-media reporting into a weekly decision brief
Design evaluation sets and approval gates that catch agent failure before a customer does
Calculate the payback of an agentic workflow and decide whether to scale or stop it
3 modules, 10 lessons
A build-along certificate course for teams that have stopped experimenting with chat and want systems that run. You will learn how agents actually work in 2026 - tools, the Model Context Protocol, memory, orchestration and guardrails - then build four workflows with measurable payback in beauty: review mining, retailer and retail-media reporting, distributor pipeline follow-up, and always-on content production. The final third of the course is about the part most teams skip: evaluations, failure modes, approval design and the economics of running agents in production.
Module 01How Agents Actually Work
3 lessons
From chatbots to agents: tools, MCP and orchestration
PreviewWhat an agent is, in operational terms, and the four components every working agent has.
18 min · Lesson text · Workbook · AI prompts · Quiz
Open preview lesson →Lab: write your first agent specification
35 minTurn one real recurring workflow into a specification a builder can implement without asking you questions.
35 min · Lesson text · Workbook · AI prompts · Quiz
Graded assessment: agent architecture
20 minFive graded questions on tools, protocols, memory and scoping. Pass mark 80 percent.
20 min · Lesson text · Workbook · AI prompts · Quiz
Module 02Four Workflows With Real Payback
3 lessons
Choosing workflows that pay for themselves
18 minA selection test for agent candidates, and the four beauty workflows that pass it most often.
18 min · Lesson text · Workbook · AI prompts · Quiz
Lab: build the review-mining and retailer reporting agents
40 minBuild two working agents: one that mines customer reviews into positioning input, one that turns retailer data into a weekly decision brief.
40 min · Lesson text · Workbook · AI prompts · Quiz
Graded assessment: workflow selection and build
20 minFive graded questions on selecting, scoping and building agentic workflows.
20 min · Lesson text · Workbook · AI prompts · Quiz
Module 03Evals, Human Approval and Production Economics
4 lessons
Evals, failure modes and approval design
18 minHow agents fail in practice, how to detect it automatically, and where a human belongs in the loop.
18 min · Lesson text · Workbook · AI prompts · Quiz
Lab: build an eval set and an approval gate
35 minCreate twenty evaluation cases from your own failure list and wire a two-minute approval step.
35 min · Lesson text · Workbook · AI prompts · Quiz
Graded assessment: evals and production economics
20 minFive graded questions on evaluation, approval gates and payback.
20 min · Lesson text · Workbook · AI prompts · Quiz
Capstone: agent portfolio and payback case
1h 30mA graded final project. Submit two agent specifications, an eval set, an approval design and a payback case.
1h 30m · Lesson text · Workbook · AI prompts · Quiz
Altera Consulting
Beauty growth and AI advisors
Altera Consulting advises beauty and skincare brands on international growth. This course reflects the agentic systems we build inside client marketing teams.