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In conclusion, we demonstrated through this tutorial that the core principles behind ClawTeam’s Agent Swarm Intelligence, task decomposition, agent spawning, dependency-aware scheduling, inter-agent messaging, and leader-driven synthesis, can be faithfully reproduced using OpenAI’s function-calling API and Python. We show that even without ClawTeam’s native infrastructure of tmux sessions, git worktrees, and filesystem-based message queues, the architectural patterns themselves are powerful enough to enable meaningful multi-agent collaboration, with specialized workers coordinating autonomously under a leader’s orchestration.