The Atomic Task Graph (ATG) architecture, which uses an explicit Directed Acyclic Graph (DAG) for agent planning, allows Llama-3.1-8B-Instruct to outperform GPT-4+ReAct on tasks like ALFWorld and WebShop without fine-tuning or more data. This approach reduces execution steps by 20-40%, drops hallucinations by over 70%, and triples recovery speed by localizing repairs to broken subgraphs.