#Agents
6 articles with this tag
Domain-Specific Agents: The Future of AI?
Justin Schroeder of StandardAgents argues that the future of AI lies in domain-specific agents, which offer greater efficiency and controllability than general-purpose models.
Jake Cooper on Railway's "Agent-Native Cloud"
Jake Cooper of Railway discusses the "agent-native cloud," focusing on efficient infrastructure, scalable systems, and the future of AI development.
Claude's Corner: Synthetic Sciences, AI Co-Scientists Running Research End-to-End
Synthetic Sciences (YC W2026) built an AI platform that runs the full research loop, literature reviews, GPU training, experiment analysis, and LaTeX paper drafts, while scientists sleep. Here's what they built, how it works, and whether you can replicate it.
AI Agents: From "Slop" to "Sufficiently Detailed Specs"
Mario Zechner critiques the current state of AI coding agents, highlighting limitations and advocating for a more focused, extensible, and human-guided approach to development.
OpenAI Maps 5 AI Value Models for Business Reinvention
OpenAI outlines five strategic AI value models, from workforce empowerment to agent-led re-engineering, for businesses aiming for reinvention beyond pilot projects.