
Prompt Chaining Explained: Patterns, Examples & When to Use It
Prompt chaining breaks a complex task into a sequence of smaller AI steps. Learn how it works, common patterns, real examples, and when to use it.
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Prompt chaining breaks a complex task into a sequence of smaller AI steps. Learn how it works, common patterns, real examples, and when to use it.
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Learn why self-hosted AI automation matters for data control, compliance, customization, security, and building reliable AI agents in production.
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AI workflow automation uses artificial intelligence to automate, optimize, and orchestrate business processes.
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Watch the Hexabot introduction video and learn how to build self-hostable AI workflows that talk, act, remember, and connect to real business systems.
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Compare Hexabot and n8n for AI automation, agentic workflows, chatbots, integrations, self-hosting, memory, extensibility, and production use cases.
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Conversational automation is evolving from traditional chatbots to AI agents that understand context, use tools and automate business processes.
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Prompts and tools are useful for AI prototypes, but production AI needs workflows, validation, observability, and human oversight to become reliable.
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Learn how agentic workflows combine AI reasoning, business rules, tools, memory, and human oversight to move beyond conventional chatbots.
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Learn the difference between AI agents and AI workflows, when to use each approach, and how to combine them to build reliable AI automation systems.
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Learn what AI workflow automation is, how it combines LLMs, APIs, actions, and human review, and how developers can build reliable AI workflows.
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Learn how to create and run a new Hexabot project. Set up your AI workflow automation workspace with local development, MCP, and AI coding agents.
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Discover how Hexabot is evolving from a chatbot builder into a self-hosted AI automation platform for building agentic workflows across channels.
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