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Episode artwork for "Who Did the Work? Proving Expertise in the Age of AI with Dan Pratl"

Who Did the Work? Proving Expertise in the Age of AI with Dan Pratl

51:21

Show notes

Episode Notes

AI can generate a polished report, prototype, or presentation. That makes the output useful, but it also makes the output weaker evidence of who understood the problem and did the work.

Dan Pratl, founder of Quadron, joins Cody to discuss what workers should be able to carry between jobs besides a resume and a folder of finished files. Dan argues for portable, verifiable professional reputation: evidence that preserves the context behind a contribution, including decisions, collaborators, problems, and outcomes.

They examine what Quadron is trying to build, why Dan separates blockchain from crypto speculation, and whether a verification layer could help people prove expertise across employers. The conversation also pushes on the risks: employer control, privacy, surveillance, uneven adoption, and the difficulty of representing hands-on or blue-collar work in a digital record.

Dan's descriptions of Quadron's capabilities, adoption prospects, and future outcomes are his claims unless independently supported by the linked sources.

In this episode:

- Why AI-generated output makes expertise harder to evaluate

- Proof of contribution and portable professional reputation

- Verifiable credentials for workers

- Blockchain as a proposed incentive layer

- Hiring, resumes, and enterprise adoption

- Proving blue-collar expertise

- The line between verification and surveillance

- Entrepreneurship, risk, and distribution

Guest and project:

Quadron: https://www.quadron.tech

Dan Pratl on LinkedIn: https://www.linkedin.com/in/danpratl/

Quadron on LinkedIn: https://www.linkedin.com/company/quadronai

Sources:

Quadron press page: https://www.quadron.tech/press

Dan Pratl public biography: https://alumshares.com/post-member/dan-pratl/

NIST Generative AI Risk Management Profile: https://www.nist.gov/publications/artificial-intelligence-risk-management-framework-generative-artificial-intelligence

W3C Verifiable Credentials overview: https://www.w3.org/TR/vc-overview/

The Weird Canadian: https://theweirdcanadian.ca

Watch the video version: https://youtu.be/BA0fpg3HDfM

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Disclosure: This episode contains promotional segments for PodMatch, Async, and PLAUD. The Async and PodMatch URLs are affiliate links, which may earn Cody a commission at no additional cost to you.

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