Guides and deep-dives on AI workflow automation, multi-agent orchestration, RAG pipelines, and self-hosted AI infrastructure from the Heym team.
The Heym blog is a technical resource for developers, DevOps engineers, and AI practitioners building production-grade AI systems. We cover AI workflow automation from first principles — how large language models connect with APIs, databases, and conditional logic to form reliable, observable, self-running pipelines. Every post is written by practitioners, tested against real workloads, and focused on production outcomes rather than toy examples. If you are evaluating self-hosted AI automation platforms, migrating from n8n or Zapier, or designing your first multi-agent architecture, you will find opinionated, data-backed guidance here.
Architecture patterns for building multi-step LLM pipelines — from trigger design and prompt engineering to output validation, retry logic, and error recovery in production environments.
How to coordinate multiple AI agents working in parallel or in sequence, including state management, tool calling, context sharing, and conflict resolution strategies for complex autonomous systems.
Building retrieval-augmented generation pipelines with Qdrant, embedding strategies, chunking approaches, re-ranking, and evaluation techniques for production RAG systems that answer accurately.
Running open-weight LLMs (Mistral, LLaMA, Qwen) locally via Ollama, deploying Heym with Docker Compose or Kubernetes, and managing GPU compute for cost-effective inference at scale.
April 24, 2026Ceren Kaya Akgün
Build a RAG pipeline step by step: architecture, chunking, Qdrant vector search, and LLM integration without code in Heym's visual canvas. Build yours →
April 17, 2026Ceren Kaya Akgün
AI agent memory: 3 types explained, architecture patterns, and no-code implementation in Heym's visual canvas.
April 15, 2026Ceren Kaya Akgün
Discover 12 real-world AI agent use cases across customer support, research, DevOps, and more — with step-by-step guidance to build your first agent in Heym.
April 14, 2026Mehmet Burak Akgün
Learn how multi-agent AI systems work, the 4 core orchestration patterns, and how to build one in Heym's visual canvas — no code required.
April 10, 2026Ceren Kaya Akgün
Learn what agentic AI is, how agentic workflows work, and how to build your first agentic pipeline in Heym's visual canvas — no code required.
April 9, 2026Mehmet Burak Akgün
Learn how to build autonomous AI agents with Heym — from your first LLM node to multi-agent orchestration, MCP tool integration, and self-hosted deployment.
April 8, 2026Ceren Kaya Akgün
Learn how to build an MCP server from scratch in Python or TypeScript. Connect your tools, databases, and APIs to Claude and any AI workflow in under 30 minutes.
April 7, 2026Ceren Kaya Akgün
AI workflow automation connects LLMs, APIs, and logic into self-running pipelines. Learn what it is, how it works, and how to build your first AI workflow.