YouTube · 23:14
AI Agents Explained — From theory to practice
One-line summary
By calling tools, storing memory and splitting tasks, agents let general-purpose models keep handling complex work.
01 Models aren't everything: tools set the limits of action
The system keeps the timestamp of every point, so each conclusion can be verified against the video context.
02 Memory keeps tasks moving forward
The system keeps the timestamp of every point, so each conclusion can be verified against the video context.
03 Planning and feedback close the execution loop
The system keeps the timestamp of every point, so each conclusion can be verified against the video context.











