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AI Cred profile

Steve Jones

CEO at VeilStream

Vancouver, Canada

@Steve_Jones

AI fluency score

9.0Expert

Assessed Mar 28, 2026 · Earlier rubric

The five skills

Strongest: Prompt Mastery

This score uses an earlier AI Cred rubric, so the skill names differ from the 2026 ones.

About

I’m a product leader turned founder who is passionate about leveraging AI and ML to solve data intensive problems in critical industries. I played a leadership role in the UBC entry to the DARPA Grand Challenge in 2005 when autonomous vehicles were still science fiction. More recently, I'm the author of A Mind Made of Math: Decoding the AI and Robotics Revolution for Individuals, Leaders, and Society. I have been building B2B SaaS product teams for almost twenty years across multiple industries.

I'm currently building VeilStream as the simplest way for software development teams to spin up ephemeral preview environments with realistic sanitized test data. Our solution filters/obfuscates PII on-the-fly, integrates directly with GitHub + Docker Compose, and powers one-click deploys for Claude Code, Cursor, and other AI coding agents. When used with our MCP server, VeilStream empowers your AI agents to run their own test/feedback loops.

I'm an active member and volunteer in the tech and outdoor community in BC. Outside of work, I try to spend as much time skiing, biking, and paddling (in that order.)

In short

Steve Jones is a Vancouver-based CEO, author, and product leader with nearly two decades of experience building B2B SaaS teams and applied AI roots stretching back to the DARPA Grand Challenge in 2005. An expert-level AI practitioner, Steve designs sophisticated closed-loop pipelines that move autonomously from market research through MVP deployment and real-world feedback collection — treating human input as a trust boundary requiring dedicated guardrail architecture. He operates fluently across text, image, video, and audio modalities at both consumer and API levels, applying advanced prompting techniques including Chain-of-Thought, few-shot learning, and model challenging with nuanced awareness of when each applies. His original Slop/Spew/Science/Social taxonomy for evaluating LLM outputs reflects the kind of conceptual rigor that distinguishes systems-thinkers from heavy users. Steve brings frontier-level architectural thinking and a closed-loop validation philosophy to every problem, helping organizations move from experimental AI adoption toward reliable, production-grade systems that compound over time.

Written by AI from Steve's assessment and profile, Mar 28, 2026.

Experience

  • CEO at VeilStream

    VeilStream is a platform that provides Environments-as-a-Service with sanitized test data. As software development teams integrate AI agents into their process, there is an unmet need to provide those agents with a secure AI-enabled platform on which they can safely run tests at scale.

Get your AI Cred

Steve earned this score in one conversation. The assessment takes 20 to 30 minutes. You talk through how you work with AI, and you leave with a score across five skills and a page of your own to share.