The article discusses the limitations of large language models (LLMs), which often produce inconsistent outputs when prompted multiple times. This unpredictability can hinder real-world applications where reliable and testable AI behavior is essential. To address these challenges, the author has developed deterministic agents using Lyzr AI. These agents adhere to clear goals and defined steps, eliminating the guesswork associated with LLMs and providing consistent outputs. The author shares a demonstration of a deterministic agent and invites feedback on this approach. The piece emphasizes the need for reliable automation in AI systems, contrasting it with the often chaotic nature of traditional LLMs. Additionally, the author encourages applying for Y Combinator’s Fall 2025 batch, highlighting the importance of innovation in AI development.
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