AI Agent Cost Optimization: Cut Your LLM Bill
AI agent cost optimization: what drives agent spend, the levers that cut your LLM bill 50 to 85 percent, and how to measure and reduce it with no code.
June 7, 2026Mehmet Burak Akgün
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.
Architecture patterns for building multi-step LLM pipelines, from trigger design and prompt engineering to output validation, retry logic, and error recovery.
How to coordinate multiple AI agents working in parallel or in sequence, including state management, tool calling, context sharing, and conflict resolution.
Building retrieval-augmented generation pipelines with Qdrant, embedding strategies, chunking, re-ranking, and evaluation techniques.
Running open-weight LLMs locally, deploying Heym with Docker Compose or Kubernetes, and managing GPU compute for cost-effective inference.
AI agent cost optimization: what drives agent spend, the levers that cut your LLM bill 50 to 85 percent, and how to measure and reduce it with no code.
June 7, 2026Mehmet Burak Akgün
June 1, 2026Ceren Kaya Akgün
AI code review with one model is noisy and biased. See how an adversarial, multi-agent setup finds more real bugs and posts far fewer false positives.
May 31, 2026Mehmet Burak Akgün
AI agent evaluation explained: the metrics, scoring methods, and LLM-as-a-judge that prove your agent works, plus how to test agents with no code.
May 29, 2026Mehmet Burak Akgün
AI agent observability explained: the 6 metrics to track, tracing vs monitoring, and how to watch agents in production without a separate tool.
May 27, 2026Ceren Kaya Akgün
Heym shipped 31 releases in 30 days and reached 456 GitHub stars. Full changelog: MCP clusters, agent tools, token pricing, and security fixes from month one.
May 22, 2026Ceren Kaya Akgün
Context engineering explained: what it is, how it differs from prompt engineering, the four strategies, and how to apply them to AI agents in Heym.
May 20, 2026Mehmet Burak Akgün
What is vibe coding? Karpathy's term defined, vs no-code, eight tools, the 19% productivity catch, and how to vibe code an AI workflow in Heym.
May 18, 2026Ceren Kaya Akgün
Agentic AI vs generative AI compared: autonomy, goals, memory, tools, a decision framework, and a Heym workflow that runs both. See how →
May 16, 2026Mehmet Burak Akgün
What is MCP (Model Context Protocol)? A 2026 guide to how it works, MCP vs function calling vs RAG, security, and using MCP in Heym. Build yours →
May 14, 2026Ceren Kaya Akgün
AI agent vs chatbot compared on autonomy, tools, memory, and goals. Includes a decision framework, 8-dimension table, and a Heym walkthrough. Build yours →
May 12, 2026Ceren Kaya Akgün
RAG vs fine-tuning compared: cost, accuracy, latency, and a clear decision tree. Includes a hybrid RAFT pattern and a no-code Heym walkthrough. Build yours →
May 9, 2026Mehmet Burak Akgün
Learn how text-to-workflow AI turns plain English into a runnable automation pipeline. See how Heym's AI Canvas generates workflow JSON from one prompt.
May 7, 2026Ceren Kaya Akgün
Build an AI lead qualification agent: scores leads 1-10, routes hot prospects to Slack, sends personalized cold emails. No code. Start in 10 minutes.
May 4, 2026Ceren Kaya Akgün
Learn what prompt chaining is, the 4 core patterns with code examples, and how to build a visual prompt chain in Heym without boilerplate API code.
May 2, 2026Mehmet Burak Akgün
Learn what LLM orchestration is, the 4 core patterns, and how to build orchestrated AI pipelines in Heym. Practical developer guide with real examples.
April 29, 2026Ceren Kaya Akgün
Build an AI agent without code: trigger, agent node, tools, persistent memory, MCP, and multi-agent orchestration in Heym, step by step.
April 27, 2026Ceren Kaya Akgün
Learn how to connect two APIs in an AI workflow — no code. Step-by-step tutorial: HTTP node, cURL, security headers, response mapping, and MCP sharing.
April 26, 2026Mehmet Burak Akgün
The 10 best MCP servers for AI workflow automation in 2026 — ranked by category, GitHub stars, and Heym compatibility. Start connecting your agents today.
April 25, 2026Mehmet Burak Akgün
AI agents vs RPA: key differences, when to use each, and how to migrate legacy bots to AI-native workflows — with a practical Heym walkthrough.
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
Heym vs LangGraph vs AutoGen vs CrewAI: top AI agent builders in 2026 compared on visual canvas, native MCP, multi-agent orchestration, and self-hosting.
April 8, 2026Ceren Kaya Akgün
Learn how to build an MCP server in Python or TypeScript. Connect tools, databases, and APIs to Claude and AI workflows 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.
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