Claude

The answer to this question will depend rather heavily on who you are. For anyone whose workflow involves iterative design, the utility is a compelling addition. I can also see it improving over time as Anthropic continues refining it through the addition of newer features, further integrations, and user feedback. For a non-designer, the experience feels like a superpower. Whether you're building something from the ground up or using it as a starting point to hand off to a professional, the floor it sets is high enough that you can't really go wrong with it. Claude

The human sciences are shifting: for the first time, core research tasks can be handed off to machines. AI chatbots increasingly contribute to scientific research, including in the most prestigious publications and in the social sciences. This has spurred optimism that AI could boost research productivity—while also stoking fears about overloaded peer review and a deluge of academic AI slop. But while turn-taking AI chatbots have primarily been used for writing assistance, coding agents could restructure social science research more radically. Agentic coding platforms like Claude Code and Code

The AI-Q skill enables Claude Code, Codex, or other general-purpose agents to submit a research task to a running AI-Q server and receive a well-formatted, detailed report with citations. The skill includes a SKILL.md file that tells the harness how to use AI-Q, plus a helper script that manages request routing, job submission, polling, and result retrieval. A skill can mean different things in agent workflows. Agent skills guide the harness, the NVIDIA NeMo Agent Toolkit helps define reusable tool functions, and the AI-Q Agent Skill exposes the full research pipeline—including intent classifi