The AI Agentics blog
Agentic AI tutorials, design patterns, and engineering deep-dives — written for the people who design, build, and ship autonomous AI agents. Concepts explained from first principles, then taken all the way to production.
- New posts regularly
- Tutorials + research
- Written by engineers
Welcome to the AI Agentics blog — our home for clear, opinionated, and genuinely useful writing about agentic AI. Building an agent that demos well is easy; building one that reasons reliably, calls the right tools, and stays observable and affordable in production is hard. Every post here exists to close that gap.
Start with a hands-on build like the support-agent tutorial, level up with agent design patterns, then harden your system with our guides on reducing hallucinations and cutting costs. No hype, no filler — just patterns, real numbers, and code you can adapt.
Start with these
Our most useful, most-referenced posts — the fastest way into building agents that actually work.
How to Build an AI Customer Support Agent (Step by Step)
TutorialA practical, end-to-end build: define the goal, connect your helpdesk and knowledge base, wire the reasoning loop with RAG, add guardrails, and ship a support agent that resolves tickets instead of just replying.
Learn more7 AI Agent Design Patterns Every Builder Should Know
EngineeringReAct, plan-and-execute, reflection, routing, orchestrator-worker, evaluator-optimizer, and tool-use — the reusable patterns that turn a flaky demo into a dependable agent, with when to reach for each.
Learn moreHow to Reduce AI Agent Hallucinations in Production
EngineeringHallucinations don't disappear when you add tools — they move. Here are the grounding, retrieval, validation, and self-check techniques that measurably cut confident-but-wrong answers in real deployments.
Learn moreThe full archive
Every post, newest first. Each one links to the reference guides when you're ready to go deeper.
The State of AI Agents in 2026: Trends That Matter
ResearchMulti-agent goes mainstream, protocols standardize tool access, evals become table stakes, and 'agentic' stops being a buzzword. An opinionated look at where AI agents are actually heading this year.
Learn more9 Ways to Cut AI Agent Costs Without Losing Quality
EngineeringAgents re-send context every step, so cost compounds fast. Model routing, context trimming, caching, cheaper tools, and smarter loops — concrete tactics to slash your token bill while keeping results sharp.
Learn moreHow to Choose an AI Agent Framework in 2026
EngineeringLangGraph, CrewAI, AutoGen, LlamaIndex, or roll your own? A decision framework based on control, team skills, multi-agent needs, and lock-in — so you pick the right stack the first time.
Learn moreLooking for structured, ground-up explanations instead of posts? The learning library has 21 free guides, the comparisons hub puts frameworks side by side, and the glossary defines every term.
Writing built for builders
Original articles
and counting
Reference guides
in the learn library
Avg. read
concept to code
Original content
no recycled fluff
What we write about
Four tracks, one goal: help you go from curious to capable on agentic AI.
- TutorialsHands-on
Build something real
Step-by-step builds — a support agent, a coding agent, a research agent — with the goals, tools, loops, and guardrails you can copy into your own project.
- EngineeringProduction
Make it reliable and affordable
Design patterns, hallucination control, evaluation, observability, and cost optimization — the unglamorous work that separates a demo from a dependable system.
- FrameworksTooling
Pick the right stack
Honest, dated comparisons and decision frameworks so you choose the right tools for your team and use case — and avoid lock-in you'll regret.
- ResearchFrontier
Where agents are heading
Trends, multi-agent coordination, protocols, and the open problems we find most interesting right now — grounded analysis, not hype.
Build your first AI agent
Turn what you read here into something running. Start free — no credit card required.