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An index to everything I’ve written on AI and writing
Cyborgs Writing has accumulated something close to a hundred posts on AI and writing — courses, prompt experiments, podcast episodes, research syntheses, tool walkthroughs, and arguments about why none of this is really about the model. The line that runs through all of it: AI behavior is shaped by the rhetorical and structural choices a writer makes upstream.
This page is the index I wish had existed: a way to find a piece by what it’s about rather than scrolling the archive.
Start with whatever calls to you, or skip to the section that fits what you’re trying to do.
By the way, I used Claude Co-work to create this index after building my own markdown knowledge base by first exporting and organizing all my Substack posts. More on that coming soon!
Start here
Bridging Ancient Wisdom with AI Technology for Writing & Content Strategy — newsletter about-page
Writing With Machines (course)
The course curriculum, in roughly the order it’s taught.
Writing With Machines — course about-page
Using Information Types to Build and Evaluate Prompt Structures
Deep Reading (research synthesis)
Each piece reads two or three academic sources together.
Rhetoric and Artificial Intelligence — Hunter 1991 (foundational)
The Man Who Predicted ChatGPT in 1998 — Horn 1998, Information Mapping
Do Prompts Really Need Markup? — semantic markup studies
What Does “Evidence-Based” Actually Mean for AI? — Sackett, evaluation frameworks
What the Ancient Art of Organized Thinking Says About AI Hallucinations — semantic entropy, topoi
What is RAG ... No Really, What is It? — RAG and chunking
When AI Research Validates What Content Pros Have Always Known — chunking research
Why Many Writers Can’t Map Their Workflows (and why that matters for AI) — Haas, Lockridge & Van Ittersum on workflow mapping
Reclaiming Agency in AI Collaboration — agency and student writing
Prompt Lab / Context Lab series
Numbered experiments building specific prompts. Each entry pairs a finished prompt with its design rationale.
Prompt Lab #4: Structuring Conference Notes for Your Knowledge Base
Prompt Lab #6: Crafting AI-Powered Meeting Summaries That Actually Work
(Prompt Lab #1 and Prompt #10 sit with the teaching posts further down the archive.)
PromptOps — libraries, taxonomies, structures
The methodology cluster: how to organize prompts so they can be reused and tested.
Chatbots and agents
Built artifacts: walkthroughs for creating chatbots, custom GPTs, and agent skills.
Step-by-Step Guide to Taking a Structured Approach to Building Chatbots
How to Build and Test Your Own Chatbot for Free on Zapier ... Without a ChatGPT Plus Account
Creating Custom Chatbots — resource index
Bridging AI Operations and Human Expertise with Tailored Frameworks
AI tools — hands-on walkthroughs
Tool-by-tool experiments with Lex, Copilot, NotebookLM, ChatGPT, Triplo.
How I Used Lex AI to do an “Audience check” on my Newsletter
How to Use Copilot’s Notebook to Experiment with Prompt Design
AI content operations & structured content
Theory and practice of structured content as the substrate for prompt reuse.
3 Easy Ways to Create AI Writing Systems Using Structured Content
How Collaborating with AI Can Generate More Ideas… Not Just Content
Poetry and creative work with AI
How to use AI in the writing of poems — not the poems themselves.
3 Intelligences You Already Use to Write Poetry (and how Ai can enhance them all)
How I Use Artificial Intelligence as a Conversation Partner to Write Poetry
Personal essays — how I use AI
First-person accounts of using AI for specific work.
How I Use Artificial Intelligence for Digital Writing (And Why It’s Not Cheating)
How I Used ChatGPT to Stay Connected Authentically with my Family While in Poland
How I am Using Collaborative AI to Help With My Study Abroad
Experiments and stray observations
Pieces that don’t fit the clusters above — cultural commentary, one-off experiments, and a few open questions.



