Built by Faculty. For Faculty
I help professors build structured, repeatable AI workflows in ChatGPT so you can reclaim 5–8 hours per week without lowering standards, compromising integrity, or adding more tools to your life.
Why AI-Powered Faculty Exists→
Most faculty don’t need more AI tips. We need fewer late nights, fewer repeated tasks, and fewer decisions we have to rebuild every week.
I built AI Powered Faculty because the way most people “learn AI” in higher education doesn’t match faculty reality: you try a few prompts between meetings, get inconsistent results, and then stop because it feels like one more thing to manage.
This workshop is different. Instead of prompt experiments, you build structured assistants anchored to your materials, your standards, and your professional judgment so the work becomes more consistent over time, not more complicated.
The goal is simple: more time to be human, not more work.
About Me
Hi, I am Dr. Jason LaFrance an Associate Professor of Educational Leadership with a research focus on artificial intelligence in education and institutional governance.
I built structured AI systems for my own teaching, research, and service before ever teaching this publicly. AI-Powered Faculty is an extension of that work.
This is not automation.
It is structured augmentation.
Faculty-First Design
AI adapts to academic work — not the reverse.
Built around your teaching, research, and service load.
Anchored in your standards.
Aligned with institutional policy.
Work first. AI second.
Human in the Loop
Judgment stays with you.
AI drafts.
You decide.Every system is designed for review, revision, and oversight.
Support, not substitution.
Structured Systems
Consistency reduces cognitive load.
Assistants tied to specific courses
Context preserved.
Standards embeddded once.
Better structure — not better prompts.
Time Reclaimed
Fewer late nights.
Reusable feedback.
Stable research scaffolds.
Administrative language that doesn’t need rewriting.
5–8 hours per week recovered by eliminating repetition.
FAQ
Frequently Asked Questions
Do I need prior experience using AI?
No.
This workshop is designed for faculty with little or no prior experience using AI tools. No coding or technical background is required.
The focus is not on mastering a platform. It is on building structured, repeatable workflows aligned to your teaching, research, and service responsibilities.
If you can write an email or outline a syllabus, you can participate.
What will I build during the workshop?
By the end of the workshop, you will have built:
A structured Teaching Assistant aligned to one of your courses
A Research Assistant configured to support your writing or analysis
An Administrative Assistant to reduce repetitive service work
A clear decision framework for when and how to use AI responsibly
These supervised digital assistants grounded in your materials, standards, and professional judgment.
The outcome is reduced cognitive load and time recovered — not automation.
Is this about AI “agents” or automation?
No.
This workshop does not rely on autonomous AI agents.
Faculty work is episodic, judgment-heavy, and ethically constrained. Automating decisions in teaching, research, or service introduces unnecessary risk and complexity.
Instead, this program is built around a human-in-the-loop model. You remain accountable. AI supports drafting, structuring, and organizing — it does not operate independently.
The goal is clarity and efficiency, not delegation of professional responsibility.
Will this lower academic standards?
No.
The workshop is built on the principle that AI is a capable but unreliable assistant. It requires supervision.
You will learn how to:
Maintain intellectual rigor
Preserve disciplinary standards
Apply ethical and policy-aware boundaries
Use AI only where it meaningfully reduces effort
The aim is not to produce more work. It is to reduce unnecessary cognitive friction while preserving quality.
Do I need a paid version of ChatGPT?
A paid version is recommended but not required.
Some features — such as Projects and custom GPT configuration — are more reliable or only available with a paid plan.
Participants using the free version can still engage with the core principles and build functional workflows, though some features may be limited.
The workshop assumes a single, consistent environment to reduce complexity and experimentation fatigue.
Why is the workshop built around ChatGPT specifically?
Most faculty work is text-based: course materials, feedback, manuscripts, reports, and administrative documents.
ChatGPT provides a stable environment that supports teaching, research, and service within one system.
The emphasis is on learning a framework that outlasts any individual tool. Tools will change. Structured thinking does not.
Should I use a personal or institutional ChatGPT account?
That decision should be guided by your institutional policies and personal comfort level.
Participants may use either a personal or university-provided account, if available.
The workshop includes guidance on managing risk responsibly. This includes avoiding sensitive or protected data and applying the same discretion used with email, cloud storage, and other academic technologies.
You remain responsible for aligning your use with institutional expectations.
How much time will this require?
Time commitment varies based on how you choose to engage.
The workshop includes:
A rapid setup pathway for faculty who want immediate implementation
A guided setup pathway for those who prefer a more deliberate, step-by-step approach
Both lead to the same outcome: a structured assistant aligned to your real responsibilities.
The goal is to recover 5–8 hours per week over time — not to add more tasks to your schedule.
How is this different from experimenting with prompts on my own?
Most faculty experimentation with AI is prompt-based and session-based.
That approach has limitations:
Context is not consistently embedded
Prior decisions and standards are not preserved
Outputs vary significantly from session to session
You end up rebuilding instructions repeatedly
Over time, this increases cognitive load rather than reducing it.
This workshop focuses on building structured, context-anchored systems. Your assistants are configured around specific courses, research projects, or service responsibilities.
Instead of re-explaining your standards each time, you develop an organized environment that:
Preserves context
Maintains consistency
Reduces repetition
Improves reliability
The difference is not better prompts.
It is better structure.
Ready to Reclaim 5-8 Hours Per Week ?
Build structured digital assistants for teaching, research, and service — without lowering standards or compromising integrity.
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