Articles — Aug 2026
Long-form articles and engineering deep-dives on building AI agents, workflows, and TypeScript tooling with Mastra.
6 Best Zapier Alternatives in 2026
Zapier handles most deterministic automation well, but agentic and non-deterministic work exposes gaps such as per-user authorization, inspectable branching and deployment control. This piece covers six alternatives, each the strongest answer to one of those requirements.
AI agents for business: what they automate, where they fail
Learn what AI agents for business can reliably automate, where they fall short, how to deploy them safely, and how to test agents in production.
Best AI tools for business in 2026: tested and ranked
Compare the best AI tools for business by category, from chatbots and analytics to agent frameworks, with honest strengths, trade-offs, and pricing.
The AI agent stack: layers, tools, and how to build in 2026
A developer’s guide to the AI agent stack in 2026: models, tools, memory, frameworks, evals, guardrails, and deployment, with real tradeoffs at each layer.
LLM as a judge: how to evaluate LLM and agent outputs at scale
Learn what LLM as a judge is, how to build a reliable LLM judge, avoid bias, and evaluate agent outputs at scale with prompting and calibration methods.
Agent builder: how to build, test, and deploy AI agents
Learn what an AI agent builder is, the core building blocks of an AI agent, and how to build, test, and deploy your first agent to production.
AI agents news: latest developments, adoption trends, and what’s next
AI agents news, adoption trends, use cases, and production challenges. Learn where agentic AI stands and what developers should watch next.
CrewAI multi-agent framework: architecture and use
Learn how the CrewAI multi-agent framework works, how to build and test crews, and how to run production multi-agent systems.
Your open source LLM guide for 2026: models, benefits, and deployment
Compare the best open source LLM models in 2026, how licensing works, deployment tradeoffs, and how to evaluate and run open models in production.
Context engineering for AI agents: a practical guide
Learn what context engineering is, how it differs from prompt engineering, and the strategies for managing context in production agent systems.
Generative AI models: types and how they work
Learn what generative AI models are, the main types of generative AI models, how they work, and how to build and evaluate them in TypeScript.
Generative AI tools: what they are and how they work
Explore the main types of generative AI tools, real examples like ChatGPT and Gemini, and how developers build production apps with models, RAG, and evals
