AIDRAD: From Meeting Notes to Execution – Building Autonomous AI Agents
by Most enterprises treat AI meeting assistants as glorified scribes that produce static bullet points that nobody reads. In this AIDRAD deep dive, we explore how to bridge the chasm between conversation and execution: compiling meeting transcripts directly into Directed Acyclic Task Graphs and dispatching autonomous agents to deliver working software.