Austin Academics Consulting

AI for Academics

Practical AI consulting for faculty, by faculty.

Most AI training for higher education is delivered by technologists who have never graded a stack of essays or rebuilt a syllabus over winter break. This practice is different: a working professor showing colleagues what actually works in a real classroom.

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7 coursesrebuilt with AI-assisted materials, live at austin-academics.com
4 disciplinesAmerican history, Chinese history, ethics, and world religions
Full workflowlecture decks, test banks, study guides, and course websites
Zero jargoneverything taught in plain faculty language, not tech-speak

Services

Four Ways to Work Together

Every engagement is grounded in the same premise: AI should give faculty their time back without lowering academic standards.

Faculty AI Workshops

Hands-on training for departments and colleges. Faculty leave with working AI workflows for their own courses — not slideware about "the future of education."

  • Half-day and full-day formats, in person or remote
  • Discipline-specific examples, not generic demos
  • Academic-integrity and AI-resistant assessment design
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1-on-1 Faculty Coaching

Individual sessions for professors who want a colleague, not a helpdesk. We build your AI course-prep workflow together, on your actual courses.

  • Lecture, assessment, and study-material pipelines
  • Custom AI skills tailored to your teaching style
  • Follow-up support as your workflow matures
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Course Material Builds

Done-for-you development of course materials using the same AI-assisted process behind austin-academics.com — reviewed and refined by a subject-matter professor.

  • Interactive lecture decks and student study guides
  • AI-resistant test banks ready for your LMS
  • Course websites for student-facing resources
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Speaking & Keynotes

Conference talks and campus events on AI in higher education, from a professor who uses these tools every day — the promise, the pitfalls, and the practice.

  • Keynotes, panels, and faculty-development days
  • Case study: rebuilding a full teaching load with AI
  • Honest treatment of academic-integrity concerns
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Why Faculty-to-Faculty

Advice From Someone Who Grades on Sunday Nights

I teach American history, Chinese history, ethics, and comparative religion at a community college. Over the past two years I have rebuilt my entire teaching practice with AI: lecture decks, study guides, test banks designed to resist AI cheating, and the course website you can inspect yourself. Every recommendation I make is something I run in my own classroom first.

That matters because faculty do not need another vendor pitch. They need to know which corners are safe to cut, which never are, and how to keep academic rigor while reclaiming their evenings.

The goal is not to automate teaching. It is to automate everything that keeps you from teaching.

How It Works

A Simple Engagement Model

Inquire

Send a short email describing your situation — a department, a single course, an event date.

Scope

A free 30-minute call to define goals, format, and a flat-rate quote. No hourly meters.

Deliver

Workshop delivered, workflow built, or materials shipped — with follow-up so it sticks.

Professor Steven Austin

About

Professor Steven Austin

Steven Austin is a professor of East Asian history, American history, religious studies, and ethics. He is also an advanced photographer working in fine art and conceptual portraiture — a background that shapes how he thinks about AI as a creative and analytical instrument rather than a shortcut.

His course resources — built with the AI-assisted workflows this practice teaches — are publicly available at austin-academics.com. What you see there is the portfolio.

Contact

Start a Conversation

Tell me about your department, your course, or your event. Every engagement begins with a free 30-minute scoping call.

[email protected]