James Pearce | Activities
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Identify, test and improve AI guardrails through a structured, scenario-based framework that addresses common implementation failures and attack patterns.
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The problem with non-deterministic inputs and outputs
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Leading with AI - The London Edition
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A half-day educational experience to navigate the world of AI
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Claude Code Best Practices - a collection to bookmark
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An AI state of the union: We’ve passed the inflection point & dark factories are coming
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The problem with non-deterministic inputs and outputs
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This badge is awarded to members who visit the Ministry of Testing site 99 times
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MoTaCon 2026
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A tech conference to help you navigate the ever-shifting landscape of Quality Engineering, AI, Leadership, Product, Accessibility and Security.
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AI Security Capture-the-Flag challenge by Alice
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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Explore shift right and how to practice it within testing
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We can test in production: An introduction to shifting testing right
awarded Callum Akehurst-Ryan for:
We can test in production: An introduction to shifting testing right
awarded Callum Akehurst-Ryan for:
We can test in production: An introduction to shifting testing right
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We can test in production: An introduction to shifting testing right
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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I featured your call for insights on the MoTaverse homepage. 😃
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
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The problem with non-deterministic inputs and outputs
contributed:
How do AI guardrails deal with millions of possibilities?
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Rise of the Agentic Workflows
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Agentic QE: From AI Assistant to AI Workforce
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A paradigm shift from using AI as a coding assistant to directing AI agents as an intelligent workforce
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Great to chat with you on a call for insights. I very much enjoyed our conversation and I look forward to others listening to it. Thanks!
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Identify blind spots created by AI-driven testing and prevent false confidence in testing outcomes
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Back to the basics: Rethinking how we use AI in testing
awarded Konstantinos Konstantakopoulos for:
Back to the basics: Rethinking how we use AI in testing
is Open to Teach
is Open to Mentor
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is Open to Write
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James Pearce
Principle AI Quality Engineer
Quality strategist specialising in artificial intelligence testing, driven by a passion for solving complex problems with creativity and logic.
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