The AgentFlow framework introduces a new paradigm of no-code programming, where the system's logic is formulated in natural language through structured prompts, and execution is carried out by a large language model (LLM). However, due to the inherently sequential nature of LLMs, true parallelism, determinism, and reliable execution control are impossible without an external mechanism. This paper proposes the concept of a universal orchestratorthe "conductor"as the single code component in the system, responsible for orchestrating, synchronizing, enabling true parallel execution, and integrating agents, while all domain-specific logic remains exclusively within the prompts. This approach preserves the philosophy of "One framework, countless scenarios," simultaneously ensuring accessibility for non-technical users and technical reliability. The limitations of existing solutions, such as LangChain and MetaGPT, are analyzedthese either require code writing or are constrained by an internal LLM-centric architecture. A formal model of the conductor, its architecture, and a Python implementation example are presented, confirming the practical feasibility of the approach. The proposed method establishes a foundation for building scalable, deterministic, and integrated no-code systems suitable for industrial applications. Keywords: No-Code Programming, LLM, Agent Swarm, Universal Conductor, Orchestration, Formal Model, Parallel Execution, Execution Manager, AgentFlow