Coming soon

Demystifying AI Literacy

A free session on where to start, and a short course on what it means for your work

You keep hearing “AI literacy.” What does it actually mean?

Job posts ask for it. Leadership expects it. Almost no one explains what it means for your actual work. If that leaves you anxious or unsure where to start, you’re in good company. I’m hosting a free session and building a short course to change that, and I want to start with what you need.

What I mean by AI literacy

The software most of us grew up with made us adapt to it. AI can adapt to you, but by default it hands everyone the same average answer. AI literacy isn’t prompt engineering. It’s bringing your own problem-solving and point of view into these tools, so what comes back sounds like you and fits your work.

Two ways in

The plan is still taking shape. Your answers will decide the details.

Free session

Demystifying AI Literacy: Where to Start

Thirty minutes, live, online, free. An orientation: what AI literacy means for your work, and a first real task with a chatbot.

Course

Demystifying AI Literacy: What It Means for Your Work

A short course over several weeks, picking up where the session leaves off.

  1. Moving from chatbot to agent: handing off a multi-step task and checking what comes back
  2. Building a simple AI setup you own, in your own Google Drive, that goes with you to any tool or job

No coding. Free tools work.

Format, timing, and cost

Free session

Where to Start

Format
One live session, 30 minutes, online
Timing
Late afternoon Eastern Time; the date is set from survey responses
Cost
Free

Course

What It Means for Your Work

Format
Likely 2 to 3 live sessions, about an hour each, once a week, online
Timing
Late afternoon Eastern Time; dates set from survey responses
Cost
Not set yet. I’m considering discounts for groups. Tell me what would work for you in the survey.

About Jason Prunty

Jason Prunty

I’m an AI builder in Philadelphia with a background in product and design leadership. The interesting part of building with AI is deciding which job each model gets.

I build software by directing Claude Code, which is how I got MissionAligned running in about ten weeks. In Sorta, a daily knowledge game played against AI, one model drafts puzzles against a fixed schema and a second model critiques and scores them. Low scorers go back to draft, a similarity check catches repeats, and I approve every puzzle myself. My open-source design-director skill gives interface design its own AI critic, one that judges each screen from screenshots alone.

Moral Weather, my current art series, runs AI image generation over my own photographs, turning moral foundation scores into weather. For Designing Intelligence, AI argues against each draft before it ships. Once a post is done, AI turns its text into prompts, Midjourney generates many images, and I choose which ones make the post.

I teach AI at the School of Visual Arts and on Maven. My course Code as Medium has students watch how a model misreads an image, then build systems around those misreadings. Earlier, I taught design and photography at the School of Visual Arts, Thomas Jefferson University, The City College of New York, and Montclair State University.

LinkedIn → (opens in a new tab)

RSVP for the free session

Answer a few questions about where you are in your career, what worries you about AI and your work, and which times suit you, and I’ll save you a seat at Where to Start. Your answers tailor both the session and the course. I won’t share them, and an RSVP doesn’t commit you to anything.