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AI Workflow Automation Blog

In-depth guides on AI agents, MCP servers, RAG pipelines, and workflow automation — practical and production-tested by the Heym team. New posts every week.

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What we write about

The Heym blog is a technical resource for developers, DevOps engineers, and AI practitioners building production-grade AI systems. Every post is written by practitioners, tested against real workloads, and focused on production outcomes rather than toy examples.

AI Workflow Automation

Architecture patterns for building multi-step LLM pipelines, from trigger design and prompt engineering to output validation, retry logic, and error recovery.

Multi-Agent Orchestration

How to coordinate multiple AI agents working in parallel or in sequence, including state management, tool calling, context sharing, and conflict resolution.

RAG Pipelines & Vector Search

Building retrieval-augmented generation pipelines with Qdrant, embedding strategies, chunking, re-ranking, and evaluation techniques.

Self-Hosted AI Infrastructure

Running open-weight LLMs locally, deploying Heym with Docker Compose or Kubernetes, and managing GPU compute for cost-effective inference.

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Editor's pick
AI Browser Automation That Survives a Redesign
Editor's pick

AI Browser Automation That Survives a Redesign

Browser agents score 90% on benchmarks, 30% on real sites. The AI browser automation that survives: fixed steps, AI only where one breaks. →

July 21, 2026Mehmet Burak Akgün

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41 posts

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