AI Research Workflow Hindered by Manual "Glue Work" Between Tools

Current AI tools excel at individual research tasks, but users still face significant "glue work" to connect these steps and synthesize information. The common workflow of asking AI a direct question often bypasses the crucial process of source selection, data collection, and iterative refinement.

Researchers find themselves managing multiple browser tabs, copying and pasting information, and manually organizing findings before AI can even begin to process them. This fragmentation means the bottleneck in complex research projects remains the human effort required to orchestrate the AI's capabilities, rather than the AI's ability to generate text or provide answers.