A goal-based vector field pathfinding method that helps agents navigate efficiently by generating a heat map and a vector field. It walks through the algorithm's three steps: generating a heat map that describes distance along the path, creating a vector field pointing toward the goal, and using the vector field to steer agents' movement. How to solve the local optimum problem, and how subdividing the grid optimizes path computation to make pathfinding more stable and efficient.