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Michelle Blomberg
Mesa AI Summit · May 18, 2026

Building Career Tools
That Outlast the Semester

How a Digital Media Arts faculty member is prototyping a free, local-first, AI-augmented career dashboard for students to keep after graduation.

Michelle Blomberg · Residential Faculty, Digital Media Arts · Glendale Community College
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Hello

I’m Michelle.

Residential faculty in Digital Media Arts at GCC. I started teaching as an adjunct in 1998, joined GCC in 2004 as Director of Instructional Technology, and have been full-time faculty since 2010.

I also spent time in EdTech product management at a startup in the late 1990s. MEd from NAU, 2017, research in connectivism and personal learning environments. That’s the theoretical foundation under everything I’m showing you today.

28
Years in higher ed
22
Years teaching
6
Years in Inst. Tech
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Why This Matters to Me

1995.

I had just graduated with a design degree. First day at a Fortune 100 company, a colleague handed me a printout:

“Here’s HTML. Learn it.”

He had a server under his desk and a website already started. I learned HTML in a week and we shipped one of the first Fortune 100 websites on the internet.

Web design wasn’t a thing when I was in college. I learned a tool that didn’t exist when I was a student. In a creative field, that is not a one-time event. It is the normal condition of the work.

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What That Taught Me

The fundamentals stay.
The tools always change.

Right now my field is changing faster than it ever has, because of AI. So I stopped waiting and jumped in.

Design principles

Grid, hierarchy, typography, color, composition. These haven’t moved in centuries. Students get this in school.

Today’s tools

Figma, Adobe CC, Webflow, generative AI. These will look very different in five years. Probably less.

Tomorrow’s tools

We don’t know yet. Whatever they are, students will need to learn them in a week. Just like I had to learn HTML.

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The Problem

All this work lives in Canvas.

And Canvas access ends at graduation.

What’s in Canvas

Everything

Resume drafts, cover letters, feedback comments, interview recordings, job research, rubric notes, 12 discussions, 8 quizzes.

The morning after graduation

It’s gone

Canvas access revoked. Threads vanish. Drafts vanish. Feedback vanishes. What students keep: a folder of PDFs.

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What This Looks Like for the Student

“Where do I start?”

The Monday morning after commencement.

They have a degree. They have the portfolio. They have the folder of PDFs. What they don’t have:

The structure of their semester, which jobs they liked, which they applied to

Their cover-letter drafts, interview practice notes, mock feedback

The weekly habit of “spend two hours on job search” that the course built in them

Anyone to ask. Their instructor is teaching the next cohort.

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How I’m Going to Solve This

Vibe coding.

I’m a faculty member with a design degree. I built a tool by describing what I wanted.

Vibe Coding, Defined

Writing software by describing intent in plain English to an LLM and iterating on what it produces. You don’t need to write the code, you need to know what you want and how to recognize when the output is right.

My first prompt, roughly

“I want to prototype a single-HTML-file dashboard students populate during AVC 248 and keep after graduation. Local-first, no login, first name only. Walk me through the architecture before we write any code.”

“There’s a new kind of coding I call vibe coding, where you fully give in to the vibes, embrace exponentials, and forget that the code even exists.”
Andrej Karpathy, co-founder of OpenAI · X post, February 2, 2025
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Part 3

Render

A career launch dashboard prototype, designed for students to build during AVC 248 and take with them after graduation.

Prototype · Fall 2026 pilot · singletrackmom.github.io/render
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The Course Behind the Tool

AVC 248, Design Self Promotion

The capstone career-launch course for DMA and Animation students at GCC.

16 weeks. Online, asynchronous. Roughly 24 students per cohort.

Students arrive with a degree’s worth of design work and a portfolio in progress. They leave with:

Polished resume and cover letter

Portfolio site or reel, presentation video

12 weeks of interview practice + mock interview

Working LinkedIn profile and network plan

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The Course That Inspired the Tool

AVC 248 , where Render gets woven in.

An established 15-week course. The plum column shows Render threaded through work students were already doing.

The course runs two through-lines every week: interview skill scaffolding and resume development. Interview practice builds from written responses to recorded OBS sessions to a full mock interview in Week 13. Resume drafts are spaced every other week for instructor feedback. The ★ Render column shows where the career launchpad gets built , week by week, until students leave with everything in one place.
Written practice
OBS / Big Interview
Mock / Final
★ Render , career launchpad
Grading week
WkTheme Interview PracticeResume ★ RenderWork This Week
First Half · Building Your Foundation
1Getting Started
IP1 Written
,
Setup account
Goals & dream job
Tool logins
Tech Login Challenge , Adobe, OBS, Miro, Behance, LinkedIn
Discussion: Career Services Overview
2Goals & Marketplace
IP2 Written
1st Draft due
Job Search #1
Target market
Personal Goals & Identity Statement
Market research , who are you targeting?
3Goals & Marketplace
IP3 Written
Grading
Job Search #2
Company research
Instructor grades 1st Draft
Watch: Conducting Research for the Interview
4Resume + Cover Letter
IP4 Written
2nd Draft due, Resume 2nd Draft , incorporate feedback
Cover Letter , begin
5Identity & STAR Method
IP5 Written
Grading
Identity Statement
Instructor grades 2nd Draft
Identity Design Brief
AI Resume Experiment & Reflection
6Identity & Self-Presentation
IP6 Written
3rd Draft due
Elevator Pitch
Business Card
Resume 3rd Draft , design pass
Business Card
Elevator Pitch draft
7Midterm Prep + First Recording
IP7 First OBS
Grading
Leave-Behind
Instructor grades 3rd Draft
Leave-Behind Concept
Midterm Portfolio Prep Plan
8Midterm
IP8 Midterm Presentation
, , Midterm In-Process Portfolio Presentation , recorded
Portfolio / Reel Plan
Second Half · Launching Your Career
9Business Practices
IP9 Big Interview
4th Draft due
Job Search #3
Marketing Plan
Resume 4th Draft , polished
Freelancing Resources
Cover Letter final
10Business Practices
IP10 OBS
Grading
Freelance Plan
Contract template
Instructor grades 4th Draft
Project Brief with Contract
Spec Sheet
11Networking & LinkedIn
IP11 OBS
,
LinkedIn profile link
Mentor contact
Learning LinkedIn for Students
Finding a Mentor , outreach
Portfolio Check-In
12Networking & LinkedIn
IP12 OBS
,
Job Search #4
Updated LinkedIn Profile
20 Questions for End of Interview
13Full Mock Interview
Mock + Big Interview
,
Interview prep notes
Job search schedule
Mock Job Interview , self-directed
Big Interview platform
14Copyright + Final Package begins, , , Copyright for Digital Media Artists , librarian module
Final Resume / Identity / Leave-Behind begin
15Final Package due
Final Portfolio Presentation
,
Final Resume
Final Cover Letter
Final Portfolio
Final LinkedIn
★ Complete · submitted
Final Resume, Identity, Leave-Behind , submit
Updated Portfolio & LinkedIn
Final Portfolio Presentation

The course already worked. Render doesn’t replace it , it threads through it, so the week-by-week work students do in Canvas lands somewhere they keep. In Week 15 the column goes dark, but the launchpad goes home with them.

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How It Works Under the Hood

Local-first. No login.
Designed to be theirs.

Single HTML file

Vanilla JavaScript. No framework, no server. The whole app is one file students can save and run anywhere.

Browser localStorage

All data persists on the student’s machine. Autosaves continuously. No account, no cloud, no third party sees their work.

JSON export

One click downloads everything. Their backup. Their property. They can move it to any computer, any time.

Claude API (optional)

Live AI features call Anthropic’s Sonnet directly. Student adds their own API key. Optional.

Copy-prompt mode

Without an API key, every AI button copies the engineered prompt. Paste into Claude.ai, ChatGPT, Gemini. Their choice.

FERPA-clean by design

Built so no PII is transmitted. A proposed Career Services pipeline would send anonymous employer data only.

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Meet Two Students

Let’s see this live.

Two paths through the same tool. Different time, different goals, different output.

Maya

Brand design, looking for a studio job

Hours / week
21 hrs
Where time goes

Search 8 hrs · Learn 5 hrs · Portfolio 6 hrs · Network 2 hrs

Riley

Animation and character design, scaling freelance

Hours / week
25 hrs
Where time goes

Client work 10 hrs · Learn 6 hrs · Marketing 5 hrs · Search 4 hrs

Switching to the browser now , I’ll walk you through Render as Maya, then as Riley.

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How I Built This

AI as a coding partner.

A faculty member with a design degree prototyped this in a semester.

PRD first

I wrote the product requirements document before any code. Claude helped me think it through. The PRD kept the project from sprawling.

Single HTML file

Vanilla JS, no framework. Claude wrote most of the code. I read every line, tested every feature, redesigned every panel. Faculty stays in the loop.

Daily AI pair-programming

Two-month build. I write the spec in plain English, Claude proposes code, I iterate. The same workflow my students are about to learn for their jobs.

My stack: Claude on Anthropic’s $100/month Pro subscription · VS Code · GitHub Pages

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The Idea Underneath All of This

A structured tool beats a blank prompt.

An empty AI chat asks the student to already know what to ask. That blank page is where a lot of students freeze, or avoid AI altogether.

A structured tool makes the first move for them. It asks the question, holds their goals and their saved work as context, and turns AI from something intimidating into something they just use.

The interface is the difference between a student using AI with confidence and a student avoiding it.

And building one is not a coding skill. It is prompting. If you can describe what you want, you can do this.

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Your Turn

What do you build over and over?

Think of one thing you paste into an AI chat over and over. The same prompt, every week.

That repetition is the signal. That is a structured tool waiting to be built, in your discipline, for your students, or just for you.

Take a minute. Drop one in the chat. What’s yours?

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A Few More, In Case You Are Still Thinking

A few more I am working on.

A structured tool · Live

CopaMigo

A bilingual student-support router. A student describes a problem in plain English or Spanish, and it points them to the right campus service with contact info, hours, and what to ask for.

An agent · An idea I’m designing

Syllabus Auditor

Faculty submit a syllabus through a form. An agent checks it against a required-elements rubric, then logs it as complete or emails back a report with specific fixes.

An agent · An idea I’m designing

Canvas Course Auditor

Point it at a Canvas course export and it checks module-to-competency alignment, accessibility, and how assignment due dates fall across the week.

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Writing It Down First

The PRD is what kept it from sprawling.

Before any code, I wrote a product requirements document , the same kind a real product team would.

A PRD forces the decisions that matter before they’re expensive: who the users are, what the tool must do, what it deliberately won’t do. For a faculty member building with AI, it’s the difference between a focused tool and an endless pile of features. I write the spec, Claude proposes the code, and the PRD is the thing we both check against.

Render PRD · Version 0.6
Career Launch Dashboard , a student-facing AI career readiness prototype
Executive summary, product vision, users and context, and core design principles , local-first and student-owned, structured AI instead of blank prompts, built during the course, lives after graduation.
Status: prototype, preparing for Fall 2026 pilot Updated May 2026 singletrackmom.github.io

The full PRD is linked from the portfolio page , useful if you want to build something like this yourself.

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What Is Next

Testing it for real.

Render is a prototype. The point of the next year is to find out what actually works.

Summer 2026

Usability testing

A small group of students works through Render so I can see where it helps and where it gets in the way, then revise before it reaches a full class.

Fall 2026

Pilot in one section

One full section of AVC 248 uses Render across the whole semester. If it works well, the natural next step is adapting it for other programs at GCC.

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Thank You

Questions?

Reach me: michelle.blomberg@gccaz.edu

Everything’s here: singletrackmom.github.io

Render and these slides are both linked from the main page.

Michelle Blomberg · Residential Faculty, Digital Media Arts · Glendale Community College

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