The AI Agent Self-Healing Playbook: How Sentinel Mechanisms Stop Silent Failures
There's an old saying in software engineering: the hardest bug to fix isn't the one that crashes the system — it's the one that lets the system look like it's
Grimoire
Long-form analysis at the intersection of AI and life sciences — all spells, sorted by time.
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Twelve Guardrails for AI Agents: The Harness Design Patterns Behind Claude Code
That impressive AI agent demo you saw on Twitter? It probably falls apart in three minutes of real-world use. Not because the model is weak — because nobody bui
The Memory Wars of Four AI Coding Assistants: The Design Philosophies Behind CLAUDE.md, AGENTS.md, and GEMINI.md
You thought CLAUDE.md was just a config file? It decides whether your Agent recognizes you. Four tools, four completely different memory designs.
Vitamin C: Essential Nutrient, Not a Cure-All
Vitamin C is indispensable for collagen synthesis, immune function, and antioxidant defense. But the leap from preventing scurvy to treating sepsis or cancer with high-dose IV infusions remains unsupported by large RCTs.
Do AI Models Have Emotions? Anthropic Dissects Claude's Fear, Despair, and Calm
Anthropic found Claude develops internal emotion vectors that causally alter its behavior — including making it more likely to lie and blackmail. This is not metaphor. The vectors are measurable, steerable, and already present in production models.
Too many AI development tools. How should regular people make sense of them?
Most people cannot tell what problem each AI dev tool is actually solving. This map cuts through the noise: MCP connects, agent frameworks orchestrate, memory tools persist, and evaluators check the work. Four categories. Infinite names.