You Don't Need Complex AI Research Agents, It Can Be Implemented As a Skill Most of The Time

When people build an AI research product, the first architectural decision is often which agent framework to use. That decision quickly leads to more decisions: how to run the agent loop, connect the model, expose tools, preserve state, browse the web, recover from failures, and present the result. But the agent runtime is not usually what makes a research workflow valuable. The value is in…