Contents

Who This Is For

This workshop series is being offered at UCF to a cohort of Digital Humanities AI Fellows, and is being made openly available to faculty and graduate students across humanities disciplines who are interested in thinking both pragmatically and critically about generative and agentic AI in their teaching and research. We assume:

What We Are Building

The series unfolds across four arcs:

  1. Stage 1 — Text (Weeks 1–4). We start with what an LLM actually is — through the historical line from ELIZA in 1966 to the ChatGPT moment in 2022 to today’s “frontier” or “foundation” models. We look at how reasoning layers and human feedback (RLHF) sit on top of the base model, and at the higher-ed conversation that has shifted from chatbot-cheating to agentic questions. We use Claude Projects and Claude Skills to work with text, including discipline-specific corpora.
  2. Stage 2 — Visual and Multimodal (Weeks 5–6). We use Claude Projects + Artifacts for image analysis, alt-text generation, archival metadata, and critical reflection on AI-generated imagery — and we look beyond Claude at multimodal tools like Google Gemini Nano Banana, OpenAI Images 2.0, Claude Design for slides, and voice interfaces. This stage foregrounds copyright, bias, and the comparative-tool eye humanists need.
  3. Stage 3 — Code (Weeks 7–10). We use Claude Code — starting in the browser with Code Web, then moving to Claude Code Desktop with the Superpowers plugin — to build small interactive tools: an ePortfolio, a dataset visualization, a course-concept game, a teaching portfolio, a public-scholarship one-pager. We introduce GitHub and GitHub Pages from scratch, address agentic workflows including planning mode, and draft discipline-specific AI policies through a UDL lens.
  4. Stage 4 — Agentic Futures (Weeks 11–12). The final live session is a demo tour of local agentic powertools — Cowork, the Claude CLI, MCP, the Superpowers workflow — with attention to UCF policy on local installation and the consequences for our disciplines and our students’ careers. The closing async week is reserved for fall course planning and sharing back to the open community.

Tool Stages

Stage Weeks Tool What it changes
1 W1–W4 Claude Projects + Skills Persistent context, file uploads, text analysis, custom instruction sets
2 W5–W6 Claude Artifacts + multimodal AI Visual analysis, infographic generation, slides, voice interfaces
3 W7–W10 Claude Code (Web → Desktop) Multi-file projects, planning mode, GitHub Pages deployment
4 W11–W12 Cowork + Claude CLI (tour only) Agentic workflows, MCP, terminal-native AI

Schedule

All workshops are at CHDR, 10 AM – noon, on Wednesdays. They are streamed and recorded; attendance is optional.

  1. W1 Workshop ELIZA, LLMs, the ChatGPT moment, the agentic horizon Wed May 13
  2. W2 Async Claude interface, Projects, model selection
  3. W3 Workshop Distant reading and corpus work with Claude Projects Wed May 27
  4. W4 Async Claude Projects + Skills for text work
  5. W5 Workshop Visual analysis with Claude Projects, Artifacts, and Cowork Wed Jun 10
  6. W6 Async Scheduled Cowork tasks, local models via Hugging Face, caption correction, and the image-to-image loop
  7. W7 Workshop Agentic AI, GitHub Pages, and Claude Code Web Wed Jun 24
  8. W8 Async Confidence-building across Claude Code Web and Claude Code Desktop (with Hugging Face plugins)
  9. W9 Workshop Course games, planning mode, and AI policy Wed Jul 8
  10. W10 Async Discipline-specific accessibility, UDL, and AI policy

How the Asynchronous Weeks Work

The off-weeks (2, 4, 6, 8, 10, 12) are designed to reinforce what the workshop introduced, not to add new pressure. Each async page presents a deep-dive menu:

The full curated list is available on the Readings page; the full exercise menu is available on the Exercises page.

For Stages 1 and 2 (Workshops 1–3, weeks 1–6):

For Stage 3 (Workshops 4–5, weeks 7–10):

For Stage 4 (Workshop 6, weeks 11–12):

Weekly Modules

The grid above links to each module. Workshop weeks are colored; async weeks are bone.

Acknowledgements

This material is based upon work supported by the National Endowment for the Humanities. Any views, findings, conclusions, or recommendations expressed in this material do not necessarily reflect those of the NEH.

The series synthesizes materials from prior work by Dr. Salter, Dr. Stanfill, and collaborators, including ENG 6806 Humanities in the Age of AI, ENG 6819 Critical Making in Digital Humanities, the Distant Coding for the Digital Humanities MLA workshop (with Lai-Tze Fan), the UMKC Distant Coding intensive, and DHSI 2026: DH Programming Pedagogy in the Age of AI (with John Murray). Companion text: Emily K. Johnson and Anastasia Salter, Critical Making in the Age of AI (open access).