9 min read
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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#AI Agents
8 articles
10 min read
Introducing the Hexabot AI Coding Agent Action
Discover the Hexabot AI Coding Agent action, which runs Codex, Claude Code, OpenCode, and Grok Build inside isolated Docker sandboxes.
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2 min read
Hexabot Introduction: Build AI Workflows That Talk, Act, and Remember
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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11 min read
From Chatbot to AI Agent: How Conversational Automation Is Evolving
Conversational automation is evolving from traditional chatbots to AI agents that understand context, use tools and automate business processes.
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12 min read
Why Production AI Needs More Than Prompts and Tools
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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13 min read
Agentic Workflows Explained: From Chatbots to Business Automation
Learn how agentic workflows combine AI reasoning, business rules, tools, memory, and human oversight to move beyond conventional chatbots.
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10 min read
AI Agents vs AI Workflows: What’s the Difference?
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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8 min read
Hexabot v3 Is Here: From Chatbot Builder to Agentic AI Workflow Automation Platform
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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