Education, augmented by AI

The wise way to grow the skills that make engineers human.

way2wise.ai builds AI learning tools, starting with the EQ Agent — a personal reflection coach that helps software engineers develop emotional self-awareness and self-regulation.


The EQ Agent

An external mirror for your inner work.

Technical skill gets engineers in the door. Self-regulation — managing frustration, staying focused under pressure, communicating honestly — is what carries careers. The EQ Agent guides short weekly reflections and turns them into personalized insight.

  • 1
    Listen

    A five-minute weekly podcast introduces one EQ concept, written for engineers.

  • 2
    Reflect

    Ten minutes with the EQ Agent — guided prompts that meet you where the week actually happened.

  • 3
    See yourself

    The agent surfaces emotional patterns in your own language, mapped to self-awareness and self-regulation.

You mentioned the code review felt "unfair." What was happening in your body when you read that first comment?
Tight shoulders, honestly. I wanted to fire back a reply right away.
That's the third reflection where a pause came up before a strong reaction. What helped you wait this time?

Two paths, one product

Built for the classroom and the codebase.

Academic

For universities & programs

Close the EQ gap in software engineering education without adding a course to the catalog.

  • Fits capstone and project-based courses
  • Grounded in IRB-approved research methods
  • Privacy-first: no PII enters the AI system
Explore academic pilots
Enterprise

For engineering teams

Develop the "master developer soft skill" — self-regulation — in ten minutes a week, inside the flow of real work.

  • Designed around real engineering pressure points
  • Individual insight stays with the individual
  • Program-level outcomes for L&D leaders
Explore team pilots

Evidence first

Born from research, not a pitch deck.

The EQ Agent began as a graduate research study at Pepperdine University, examining how personalized AI interactions reveal emotional intelligence in working software engineers.

Qualitative case study

A month-long intervention with practicing engineers, triangulating AI reflection logs, weekly entries, and in-depth interviews.

IRB-approved methods

Conducted under Pepperdine University IRB protocol, with informed consent and full anonymization throughout.

Privacy by architecture

Zero Trust design, least-privilege access, and auditable lineage on every AI output. No personally identifiable information, ever.

Read the research

Fits what you already do

It works with your learning, not around it.

The EQ Agent isn't another course to schedule or platform to migrate to. It's a thin layer of guided reflection that wraps around the technical training, programs, and real projects your engineers are already engaged in.

Maps to your curriculum

Weekly themes align to recognized EQ competencies, so they slot into existing soft-skill and leadership tracks in your LMS or course catalog — onboarding, capstones, promotion readiness, tech-lead transitions.

Turns experience into learning

Reflections draw on the engineer's actual week — a tense code review, a missed estimate, a good pairing session — so growth compounds with the work they're doing rather than sitting in a separate silo.

Amplifies what's working

It pairs naturally with mentorship, agile and team-health practices, and existing leadership development, giving those efforts a consistent, personal feedback loop between sessions.


Why way2wise exists

I had to learn this the hard way.

way2wise.ai grew out of a simple conviction: the skills that decide an engineer's career are rarely the ones their training focuses on. I know this firsthand, because the human side of work is the part I had to fight for.

I grew up on Navy bases — Coronado, Alameda, Norfolk — the son and grandson of Rear Admirals, in a world of unwavering dedication and constant upheaval. Moving every few years, I learned early to read a room, adapt, and partner with whoever was in front of me. It built resilience, and it left me with a lifelong attentiveness to how people actually feel beneath what they say.

School was harder. Letters and numbers scrambled on the page, and for years I believed I was slow, lazy, or stupid — until a fourth-grade dyslexia diagnosis gave the struggle a name, and a teacher named Mrs. Johnson gave it a path forward. The lesson stuck: a brain wired differently is still capable of remarkable things when someone offers the right kind of patient, personalized feedback.

"That's what the EQ Agent is — the patient mirror I wish more people had access to."

My career became a long experiment in building and learning: OCR and client/server systems at IBM, a string of startups, a company I shepherded into a Google acquisition, and nearly twenty years inside Google itself. Through all of it, the same passions held — research, innovation, coaching, and mentoring — and I kept discovering that confidence is built one hard experience at a time. I also learned, presenting a new idea to Google's founders and watching it not get funded, that not every good idea gets backed. The work is what teaches you.

In 2015, a bipolar disorder diagnosis reframed everything again. The shock gave way to clarity: the manic energy, the self-doubt, the emotional swings finally made sense. I came to treat it not as a sentence but as a key — a call to embrace vulnerability, seek support, and keep learning about myself. That lived experience of emotional self-regulation, hard-won and ongoing, is the foundation the EQ Agent is built on.

Now, building way2wise.ai, I'm focused on the next generation of engineers — equipping them with the confidence, resilience, and emotional intelligence to navigate complexity and make a meaningful impact. The way I've run teams my whole career is the way I'm building this company: open communication, challenge ideas rather than people, prove it with data, launch and iterate, and make it fun.


Shape what comes next

The next iteration will be defined with partners.

We're inviting a small group of universities and engineering organizations to pilot the EQ Agent, contribute to the research, and co-design the roadmap.

Start the conversation