The setting

Trailhead Supply sells trail-running and hiking gear directly to customers and runs a content hub that pulls in most of the brand's search traffic. You are the content writer, the only one, responsible for the blog and the product education pages.

Every mission on this path happens at the same company, so context carries over the way it does in a real job: the data you cleaned in mission two is the data the finance lead questions in mission four.

The missions

1. content briefstarter

Write the content brief for Trailhead Supply's beginner trail-shoe guide

The category team wants a pillar guide on choosing a first pair of trail-running shoes. It is the biggest search topic Trailhead Supply has not covered, and blog traffic has been flat all quarter. Before anyone drafts a word, they want a brief that the writer and the SEO reviewer can both work from.

You deliver: A content brief with a primary keyword, audience, mapped outline, word count, internal links, and a differentiating angle.

Scored on: Right primary keyword, Maps the questions, Clear angle, Complete brief.

Working from: keyword_research.csv, audience_notes.md.

2. draftstarter

Draft the beginner trail-shoe guide from the approved brief

The brief is approved and now the guide needs a first draft. Rosa, the fit specialist, has written up the facts you are allowed to state. The rule from the editor is simple: follow the outline, and every spec has to trace back to Rosa's notes.

You deliver: A full draft of the beginner trail-shoe guide following the approved outline and grounded in the fit specialist's notes.

Scored on: Follows the outline, Specs match the notes, Word count, Honest tone.

Working from: approved_brief.md, product_facts.md.

3. edit passcore

Fix the weak 'hydration for long runs' draft before it publishes

A freelancer sent in a draft on trail hydration. It is roughly the right shape but it is not publishable: the strongest point is buried at the bottom, one statistic looks invented, the advice contradicts itself, and it breaks the house style in several places. It goes live Friday unless you fix it.

You deliver: An edited version of the hydration article plus an edit log naming each change and why.

Scored on: Catches the errors, Fixes the lede, Applies the style guide, Edit log.

Working from: draft_hydration.md, style_guide.md.

4. SEO structurecore

Restructure the underperforming running-sock guide for search

Trailhead Supply's running-sock guide is stuck at position 7, bounces at 74 percent, and holds readers for 22 seconds before they leave. The content is accurate, but it is a single wall of text with no headings, and everything ranking above it is longer and better organized.

You deliver: An SEO restructure plan with title tag, meta description, heading outline, FAQ, snippet target, and comparison table.

Scored on: Title and meta, Answers the PAA questions, Snippet target, Keeps the facts.

Working from: current_article.md, serp_data.csv, search_signals.md.

5. repurpose planstretch

Turn the trail-shoe pillar into a quarter of channel content

The beginner shoe guide became Trailhead Supply's top page. Leadership wants more out of it: one strong article should feed a quarter of content across email, social, and video, without a paid budget. The catch is that only some sections of the guide actually held readers, and video capacity is one piece per month.

You deliver: A repurpose plan mapping the pillar into channel-specific assets, sequenced with hooks, reasons, and success metrics.

Scored on: Grounded in the data, Right channel per asset, Sequenced calendar, Measurable.

Working from: article_performance.csv, channel_notes.md.

How the scoring works

Each deliverable is graded against the rubric written for that mission. Separately, every mission on every path is graded on how you used AI, against the same four criteria:

  • Understood the task. The learner framed the goal for the assistant clearly instead of pasting the brief and hoping.
  • Grounded in the material. The learner directed the assistant into the provided files and based the work on them, not on invented facts.
  • Verified the output. The learner checked claims, numbers, or coverage against the source material before submitting.
  • Iterated with judgment. The learner refined weak parts of the draft with specific follow-ups rather than accepting the first answer.

Both scores, with the work behind them, go on your proof profile. That is what makes a claim like "I can use AI for content and copywriting" something an employer can check.