The Human Capability Engine
for the Age of AI

Because The Future Depends on Our Ability To Adapt.

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Talent is the last analog supply chain

The résumé is its broken keystone.

AI has inflated signals faster than our ability to understand real human capability.

Why this matters

For decades, society relied on convenient proxies to represent talent: job titles, degrees, keywords, and years of experience. These signals were never accurate — they were simply the best tools available at the time.

AI didn’t break hiring.
It exposed the limits of those proxies.

When anyone can generate hundreds of tailored résumés instantly, signals collapse. Applicants blur together. Organizations receive more data, but less understanding. People struggle to stand out on merit. Institutions struggle to make fair, informed decisions.

This is not a hiring problem.
It is a representation problem.

Human capability was never designed to live inside static documents. It develops over time, in context, through action, reflection, and growth — none of which résumés were built to capture.

Until this changes, every downstream system remains fragile.

What was missing wasn’t better tools — it was a shared map of the human being

Civilization never finished building a way to represent human capability that works for both people and institutions.

What we mean by that

Every major system we rely on today is built on a shared representation:

  • Money depends on ledgers

  • Science depends on measurement

  • The internet depends on protocols

Talent never got one.

Instead, each institution invented its own partial view: education systems tracked credentials, employers tracked roles, platforms tracked profiles — none of them interoperable, none of them complete.

As a result:

  • Skills became abstracted from experience

  • Growth disappeared between transitions

  • Potential was inferred instead of understood

The problem was not lack of data.
It was lack of structure.

Gobekli exists because modern societies can no longer coordinate around human capability without a shared map that preserves context, meaning, and growth.

What We Invented:

The Talent Tree

A canonical map of how human capability actually develops and expresses itself over time.

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The Talent Tree reflects the full structure of human capability — including motivation, agency, identity, interests, roles, activities, skills, intelligence, creativity, wisdom, and potential.

These dimensions were always present.
They were just never mapped together.

The Talent Tree is:

  • Descriptive, not prescriptive — it reveals structure without imposing paths

  • Stable, even as interpretations evolve

  • Interoperable, allowing diverse systems to align without flattening people

Rather than reducing individuals to scores or categories, the Talent Tree preserves relationships between experiences, skills, and growth — making capability visible without stripping it of meaning.

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Pythia

An interpretive interface that helps people translate lived experience into structured understanding — and back into meaning.

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Pythia does not replace human judgment.
It supports it.

People already possess their experience. The challenge has always been articulation, reflection, and translation — especially across systems that demand structure.

Pythia helps individuals:

  • Understand their experiences

  • Identify patterns of capability

  • Express growth in a form systems can understand

AI plays a supporting role.
The human remains the source of meaning, agency, and direction.

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What we built with them:

A Two Pillar System:

Making talent visible, verifiable and useful fore everyone!

Built on Interoperable LER Standards & Ecosystem

The LER (Learning and Employment Record) Ecosystem ​

An open, interoperable layer of trust
A common digital standard that lets schools, employers, and governments share verified learning and work data — securely and privately.

Making talent meaningful across systems
LERs give context to credentials, turning isolated achievements into living records of growth that can move with the individual.

Powering a human-centered economy of value
When connected through Gobekli, this network becomes more than data exchange — it becomes an ecosystem that recognizes, measures, and grows human value.

Gobekli’s products create a human centered experience layer. ​

Learn more about LERs

For Individuals.

A Universal Talent Passport that helps individuals know, grow, and show their capability across life.

 

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TalentPass replaces static records with living representations of experience, skills, and growth. People use it across careers, education, networking, and personal development — not just job searching.

It gives individuals ownership over how their capability is understood and shared.

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For Organizations.

A system for organizations to understand, align, and grow real human capability at scale.

 

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TalentSync allows organizations to request, compare, and work with TalentPass profiles using real skills data and verified evidence — while integrating with existing ATS and HRIS systems.

As people grow, organizations gain shared visibility into what matters — enabling clearer hiring, development, planning, and recognition.

Creating A Virtuous Feedback Loop
That Benefits Everyone!

People gain clarity, ownership, and growth.

Organizations gain visibility, alignment, and outcomes.

As more people and institutions participate, the system improves for everyone — creating a durable network effect across work, learning, and public service.

Why Gobekli Exists:

Human value used to be easier to see

For much of history, people learned and worked in close proximity.
Skills developed through experience, and contribution was visible through action.

Opportunity followed what people could actually do — because others could see it.

This system wasn’t perfect, but it created a clear connection between effort, growth, and reward.

As systems grew, visibility was lost in exchange for shortcuts

Industrialization and bureaucracy allowed societies to scale, but they also made people harder to understand.

To compensate, we relied on shortcuts: job titles, credentials, and résumés.
They weren’t complete, but they helped large systems function.

For a long time, that was enough.

AI exposed the limits of those shortcuts

Artificial intelligence didn’t break work.
It revealed how little our systems truly understood about people.

When signals became easy to produce:

  • Résumés stopped differentiating

  • Credentials lost meaning

  • Employers struggled to see real skill

  • People struggled to stand out on merit

The result isn’t just inefficiency — it’s wasted talent and missed opportunity.

Understanding can no longer be assumed

Once shortcuts stopped working, something became clear:

Human value can no longer be inferred.
It has to be understood.

In the age of AI, progress depends on being able to see how people grow, adapt, and contribute over time — clearly and fairly.

That requires a shared way of understanding human capability, not just credentials or descriptions.

Gobekli exists to build that foundation.

The future depends on
our ability to adapt...

...and adaptability always
starts with visibility.

Our People

Team

Lead and designed by:

Danny Done (Founder/CEO)

 Seasoned founder, lifelong entrepreneur and digital experience designer, former self-accredited homeschool student turned college student body president with a degree in Comparative History of Ideas from University of Washington

Engineered and built by:

Kayode Ezike (Co-founder/CTO)

Believer in building systems that empower people. MIT Masters of Engineering, leading expert in Verifiable Credential, LER, and human distributed data technologies.

Growth spearheaded by:

Beth Ardner (VP of Growth)

Edtech innovator and alliance builder. Expert in learning systems sales, relationship management, and product development. Monetization and launch strategist. 

Pythia Experience Lead By:

J Wolf

Guides the voice, behavior, and evolution of Pythia across TalentPass and TalentSync. Focused on user feedback, conversational quality, system coherence, and continuous improvement of Gobekli’s AI interface.

Advisors

Ken Cavallon

Docusign Founding Employee/ SAAS GTM/Fundraising Advisor

Phillip Long

LER Architecture Advisor US Chamber Foundation

Wallace Boston

Academic Industry Advisor / President Emeritus at American Public University System

Charlie Pascal

Legal
Advisor

Organizational Allies

Get in touch!

No matter where you sit in the ecosystem — we’d love to hear from you.

  • For Organizations: Learn how Gobekli’s tools can help your teams see, grow, and align human value with mission and strategy.

  • For Individuals: Discover how TalentPass can help you own your data, showcase your skills, and build your future on your terms.

  • For Partners & Policymakers: Explore collaboration opportunities and help us build ethical infrastructure for the future of work and learning.

  • For Press & Researchers: Connect for insights, data, and stories about the new human economy.

Whatever brings you here — curiosity, partnership, or purpose — reach out.
We’re building this future together.

Let’s start the conversation.

Let's Chat!