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Overview
Founder, Researcher, Mountaineer — Trained in large-scale computational physics at Stanford and USC. Co-founded and scaled an AI-powered personalization company to $150M+ in total revenue. Building AI systems above the model layer.
News
Prompt Engineering Best Practices in 2026: Why the Advice Contradicts Itself Amy Yuan
Anthropic deleted 80% of a system prompt with no regression. An ICLR paper says rewriting context destroys it. Both are right. Five tests tell you which advice applies to your agent.
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Report
Agentic Workflow Design: Six Principles for 2026 Amy Yuan
Most 2026 agent-design advice is load-bearing on one hidden assumption: that verification is cheap. Six principles, where each one inverts, and the mental model for what still belongs to the model rather than the code.
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Report