Content Strategy for LLMs
Content strategy is changing now that LLMs are reading, writing, and rewriting most of what we publish. This series is a practical walkthrough for content folks: setting up the right tools, structuring content as markdown, defining tone of voice and microcopy in ways an LLM can actually follow, and evaluating what comes out the other end.
What will we discuss?
- What changes about content strategy when LLMs are both the writers and the readers
- The minimum viable toolkit for working with an LLM on content
- Why markdown is the right substrate, and how to structure your first content files
- How to capture tone of voice so an LLM can actually apply it
- Generating and refining microcopy without losing voice or precision
- Lightweight ways to evaluate the content an LLM produces
- A small, repeatable workflow for content strategy with LLMs in the loop
Who is this for?
- Content strategists, UX writers, and content designers adapting to LLMs
- Anyone responsible for tone of voice or microcopy in a product
- Teams that want a practical, low-process way to put LLMs into their content workflow
Content Strategy for LLMs
- All 7 videos in this series
- Prompts, templates and resources from each episode
- Watch at your own pace, on any device
- Full access to every other course on model context experience
Full access to all courses, $79/m after the trial. Cancel anytime.
What you'll learn
- How to set up the tools for working with LLMs on content
- How to structure content as markdown files an LLM can use
- How to define tone of voice and microcopy in ways a model actually follows
- How to evaluate generated content
Learn from Peter
Peter Van Dijck
Peter has been building AI products since 2023 and teaching teams how to build them since 2024. He has spent that time in the trenches with evals, observability, synthetic data and context engineering, and turns what actually works into practical, no-fluff lessons.
Every episode is taught by Peter himself, in plain language, for product managers, designers, researchers and strategists who need to understand how AI systems are really built, without needing to be an engineer.
Peter on LinkedInWho this is for
Content strategists
You want a practical way to work with LLMs that read, write and rewrite your content.
UX writers
You want your tone of voice and microcopy to survive generation by a model.
Marketing and content leads
You need a repeatable process, not one-off prompts.
What's included
- All 7 videos in this series
- Prompts, templates and resources from each episode
- Watch at your own pace, on any device
- Full access to every other course on model context experience
- Markdown content, tone of voice and microcopy files to start from
What participants say
“This is opening up all sorts of new neural pathways for me to see under the hood more of how the sausage is made! 🙏”
“Very timely at my enterprise software company as evaluation of AI features scales.”
“Everything I know about evals is from Peter's talk, which is why I'm back to find out more!”
The videos
1. Content Strategy for LLMs
Introduction
What changes about content strategy when LLMs are both the writers and the readers. The shape of the series and who it's for.
Setting up your tools
The minimum viable toolkit for working with an LLM on content: where to write, where to store, how to keep humans and the model looking at the same source of truth.
First markdown content files
Why markdown is the right substrate for LLM-era content, and how to structure your first files so they're useful to both humans and models.
Tone of voice
How to capture tone of voice in a way an LLM can actually apply consistently — beyond vague adjectives, into concrete patterns and examples.
Microcopy
Generating and refining the small, high-stakes bits of text — buttons, errors, empty states — without losing voice or precision.
Evaluating content generation
How to tell if the content an LLM produces is actually good. Lightweight evals for tone, accuracy, and fit, without drowning in process.
Wrapping up
Pulling the threads together: a small, repeatable workflow for doing content strategy with LLMs in the loop.
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Your subscription unlocks every course on model context experience.
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