The Three Lives of an AI Agent: Why Your Assistant Breaks When You Scale It
An AI agent can answer one email, summarize one report, and look brilliant in one demo. That does not mean it can run overnight, handle 300 tasks, or keep t
Long-form analysis at the intersection of AI and life sciences — all spells, sorted by time.
An AI agent can answer one email, summarize one report, and look brilliant in one demo. That does not mean it can run overnight, handle 300 tasks, or keep t
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.
Imagine this scenario: You've been discussing a technical architecture with an AI assistant for half an hour. You've made critical decisions, clarified complex
Andrej Karpathy stopped writing code by hand in 2024. Not from burnout — from evolution. His framework for AI-orchestrated development is the clearest preview we have of what software engineering becomes next.
Every new conversation, your AI forgets everything. Ghost In Shell uses a 5-layer memory system with a cognitive engine to turn stateless LLMs into persistent digital entities. This is the architecture I have been running for 3 months.