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.
Hexabot Blog12 min read
Hexabot Blog
16 stories
Hexabot 3.4.0: rebuilding RAG around helpers and the database
Hexabot 3.4.0 rebuilds RAG around database-backed helpers, with full-text and vector retrieval options plus workflow and admin improvements.
Hexabot Blog6 min readIntroducing 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.
Hexabot Blog12 min readWhy Self-Hosted AI Workflow Automation Matters
Learn why self-hosted AI automation matters for data control, compliance, customization, security, and building reliable AI agents in production.
Hexabot Blog12 min readWhat Is AI Workflow Automation?
AI workflow automation uses artificial intelligence to automate, optimize, and orchestrate business processes.
Hexabot Blog13 min readHexabot 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.
Hexabot Blog2 min readUse 100+ LLM Providers in Hexabot with LiteLLM
Learn how Hexabot uses LiteLLM to connect built-in AI actions to 100+ model providers through one OpenAI-compatible gateway.
Hexabot Blog8 min readHexabot vs n8n for AI Workflow Automation: Which One Should You Use?
Compare Hexabot and n8n for AI automation, agentic workflows, chatbots, integrations, self-hosting, memory, extensibility, and production use cases.
Hexabot Blog13 min readOpenAI frontier models and Codex are now available on AWS
OpenAI frontier models and Codex are now available on AWS. Learn what this means for enterprise AI adoption, Amazon Bedrock, and production workflows.
Hexabot Blog12 min readFrom 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.
Hexabot Blog11 min readWhy 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.
Hexabot Blog12 min readAgentic 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.
Hexabot Blog12 min readAI 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.
Hexabot Blog10 min readWhat Is AI Workflow Automation? A Developer-Friendly Guide
Learn what AI workflow automation is, how it combines LLMs, APIs, actions, and human review, and how developers can build reliable AI workflows.
Hexabot Blog13 min readHow to Set Up a New Hexabot Project: From Zero to Your First AI Automation Workspace
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.
Hexabot Blog9 min readHexabot 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.
Hexabot Blog7 min read
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