Class Act Navigator

Giving communities a way to see danger coming — while there’s still time to act.

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Project Story: Job Survival & Risk Navigator

(What inspired me • What I learned • How I built it • Challenges I faced)

✨ What Inspired Me

This project comes directly from the people I’ve trained, mentored, and worked alongside for years — apprentices, displaced workers, returning parents, and laid-off tech employees navigating impossible systems with limited information.

I’ve been doing workforce transformation since 2009, from teaching Salesforce and AWS in Linux environments, to helping scientists understand neural networks, to working with apprentices transitioning into real-world roles. Every layoff wave hits the same groups hardest: people of color, women, older workers, disabled workers, immigrant workers, and people without generational savings.

What inspired me was the truth I heard again and again:

“I don’t know how long I can last.” “I don’t know if I’m going to be okay.”

And the hardest one: “I didn’t know how close I was to the edge.”

This app grew out of my belief that no one deserves to walk blindfolded toward a cliff — especially those who’ve already faced systemic disadvantages.

It’s also influenced by PACITA AI’s ethos: helping people unplug, get honest, and see their lives clearly enough to make informed choices — without shame and without jargon.

📚 What I Learned

I learned that when you combine justice-aware data with gentle honesty, something powerful happens. You don’t create fear — you create agency.

I also learned:

  • People want clarity, not sugarcoating.
  • People want to know how long hope will hold.
  • People will make better choices if they can see the real timeline of their survival.
  • Equity requires building tools that respect the lived reality of people who’ve been failed by traditional systems.

I also saw firsthand how inaccessible “tech tools for job seekers” can be — jargon-heavy, dehumanizing, built for idealized workers who don’t exist.

So I learned how to design something that matches real people’s lives, not tech fantasies.

🛠️ How I Built the Project

I built this app using a human-first, no-code-first philosophy I’ve been teaching for years:

“Speak your truth, capture it, and build from there.”

I started with Lovable, pasting a prompt that included:

  • A complete user data model
  • A justice-first risk framework
  • A survival timeline calculator
  • A multi-page flow with local storage
  • A set of humane explanations and benchmarks

I designed the logic using the same systems thinking I apply in workforce strategy:

  • Monthly burn rate
  • Savings runway
  • Homelessness risk thresholds
  • DEIJ-adjusted factors (race, gender, age, disability, prior unemployment “scarring,” access to housing support, etc.)
  • Conditional outcome messaging that avoids shame and centers human dignity

I borrowed concepts from

  • Social determinants of health
  • Workforce development timelines
  • Housing instability models
  • My years tracking apprentice progressions and downturn patterns

I built it so the app:

  • Requires no signup
  • Stores data locally for safety and privacy
  • Ends each session with policies, opportunities, and survival guidance
  • Reveals the truth without catastrophizing
  • Makes hope visible, but honest

The whole thing reflects my Oakland-rooted practice: build transparent tools, build for real people, and build for those the system leaves out.

⚠️ Challenges I Faced

The biggest challenge was balancing truth with care. I could easily calculate the day someone might lose housing — but how do you say that ethically?

I had to build output language that:

  • Does not retraumatize
  • Does not claim to predict mortality
  • Does not shame
  • Does not encourage panic
  • Still tells the truth

Another challenge: Modeling systemic racism, sexism, and ageism without reinforcing them. This meant:

  • Using data sources that reflect structural realities
  • Presenting them as context, not destiny
  • Emphasizing choice, opportunity, and agency

I also had to reconcile:

  • My instinct to give users everything vs.
  • The need to avoid information overload during crisis

Building a “hope until there isn’t” tool requires extreme emotional intelligence. But this project taught me that it’s possible to blend:

  • justice
  • math
  • survival
  • compassion
  • and agency

…into one experience that people actually want to use.

🌿 Closing Note

I built this because survival shouldn’t depend on luck, privilege, or reading between the lines of broken systems.

Everyone deserves a map. Everyone deserves a warning before the cliff. Everyone deserves a chance to protect their hope — while there’s still time.

Built With

  • chatgpt
  • loveable
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