AI lecture argues most users tap only 10% of agents, while graph workflows run the rest
Roger_M_Taylor · x · 2026-07-26
- A repost of a 47-minute lecture on AI, paired with a short guide to graph engineering.
- The core claim is that most people use tools like Claude at only a small fraction of their potential: they type one prompt, get one answer, and stop.
- The “other 90%” comes from running agents in parallel, connected by graphs that verify their own work.
- The post argues that this approach is meant to optimize large processes, not just individual tasks, and frames the lecture as a must-watch introduction to that workflow.
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