Long-form analysis at the intersection of AI and life sciences — all spells, sorted by time.
Not long ago, building a production-grade AI agent system meant months of engineering work before a single line of business logic got written. You needed distri
Open-source 20B+ models run fine on consumer hardware in 2026. Plug them into an agent framework and tool-call success rates collapse below 50%. After 27 top-venue papers, the verdict is clear: the bottleneck is the framework, not the model.
Something shifts after 40. A late night lingers longer. Afternoon crashes hit harder. Muscle disappears more quietly. What feels like one vague decline is often
## Opening: Why You're Stuck LinkedIn is flooded with people saying "I built an AI agent that...". You decide to follow a tutorial. You fall into the LangChain
# Why Your AI Assistant Forgets Everything: The Brutal Evolution of Three Engineering Paradigms > **TL;DR**: Your carefully trained AI forgets you the instant
Why do AI Agents always crash on long-running tasks? The answer isn't in the model—it's in "harness engineering," the operating system for Agents.