Making Deterministic Chatbots | Workflows for Predictable Chatbots
What happens when you stop treating chatbots like open-ended assistants and start designing them like reliable software systems? In this episode of Code & Cognition, Aron and Josh of Olio Apps sit down to explore the workflow behind a "deterministic chatbots," a powerful architectural pattern for building more reliable, controllable, and production-ready LLM systems. Drawing from a real-world healthcare outreach use case, they unpack why giant system prompts often fail and how a hybrid of LLMs + classical software engineering can dramatically improve chatbot quality. ----- Topics covered in this episode include: Why prompt engineering alone breaks down in complex chatbot workflows A three-phase architecture for deterministic chatbots: LLM analysis for extracting structured facts from conversation Deterministic logic engines for business rules and workflow routing LLM “composer” layers for natural language response generation Using LLM as Judge and LLM as Composer design patterns How smaller prompts can improve accuracy, reduce latency, and lower token costs Why classical decision trees still matter in modern AI systems Building regression testing frameworks for conversational AI Strategies for balancing guardrails with flexible responses When to use expensive reasoning models vs lightweight models in multi-stage agent pipelines Safety valves, human handoffs, and production lessons from building AI in regulated environments ------ One of the big ideas we explore is that reliable AI often looks less like “magic prompts” and more like traditional software architecture enhanced by language models. If you are building with tools like OpenAI APIs, Anthropic models, orchestration frameworks, or designing multi-step agents, this discussion offers practical patterns you can compare your system against. If you're interested in AI engineering, agent reliability, prompt architecture, or modern software design patterns, subscribe for more conversations on the future of building with AI. And thanks for listening to Code & Cognition, hosted by Olio Apps! We're Scott and Aron. We are software engineers, and business operators running Olio Apps. We help our clients build the best software possible. We're always learning and improving our methods and practices, and we want to share that with you. Our related blog post: https://www.olioapps.com/blog/determi... Olio Apps can help you build your app: https://www.olioapps.com/contact-us Subscribe to our monthly newsletter: https://www.olioapps.com/newsletter #DeterministicChatbots #AIAgents #GenerativeAI #PromptEngineering #LLMEngineering #ConversationalAI #SoftwareArchitecture #AgenticAI #CodeAndCognition #ArtificialIntelligence

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