Allocate creative attention using simple indices that balance exploitation of proven ideas with exploration of new concepts. Score tasks 0-22 based on Revenue, Portfolio Value, Engagement, and Exploration—then pick the highest score 90% of the time.
A practical heuristic for allocating creative attention across competing projects, inspired by multi-armed bandit theory. This is not a formal reinforcement learning implementation—it's a pragmatic decision framework that balances exploitation of proven ideas with exploration of new concepts.