Practical guides on building autonomous AI agents — from framework comparisons and SDK tutorials to production architectures and real-world case studies.
19 articles
Start with the fundamentals — the four core architectures every agent builder needs.
Now learn how to feed agents the right context so they actually work.
Put theory into practice — build a real coding agent from scratch.
Level up to multi-step workflows with a production research agent.
The pragmatic trick for running agents autonomously at scale.
Core concepts, architectures, and mental models before you write a line of code.
Design and build production AI agents that actually work. Learn the four core architectures, essential components, and real-world patterns from a venture studio founder.
Context beats prompts. Learn the systems that separate high-performing AI agents from the ones that hallucinate and fail—with real architecture patterns.
Compare the major agent SDKs side by side — setup, architecture, and production patterns.
OpenAI's new SDK makes building multi-agent AI systems accessible to any developer. Discover how specialized agents collaborating together solve problems humans can't.
Build production-grade multi-agent systems with Google's open-source ADK v1.25. From YAML-based authoring to visual builders to streaming deployment, no vendor lock-in.
Forget Google for AI agents—Exa is the search engine built for AI to actually find the right information fast, with code examples for research and competitor analysis.
Step-by-step tutorials building complete working agents.
Reverse-engineered Claude Code and built it from scratch. Here's the complete blueprint—no frameworks required, just pure Python and clear thinking.
Roll your own research agent that beats OpenAI's Deep Research for custom workflows—auditable, private, and integrated into your actual tools.
Monitor competitor ads in real-time using browser automation that looks human, bypasses detection, and feeds AI-powered competitive intelligence.
Built an AI executive assistant that runs entirely on your laptop—zero API costs, zero data leaving your machine, complete privacy.
Agents that do real business work — competitor monitoring, market research, content production.
Stop manually checking competitor websites. AI-powered scraping that extracts clean data, detects changes, and generates actionable business intelligence.
Automate VC due diligence: paste a startup URL, get competitive analysis, whitespace identification, and investment-ready insights in minutes.
An AI agent that transforms your VC's private investment memos into polished blog posts automatically—with code you can clone and customize for your fund.
Learn how to turn Claude Cowork into a personal AI assistant that organizes your files, drafts documents, schedules recurring tasks, and connects to your tools. The complete guide, no coding required.
Anthropic just launched Managed Agents, letting you spin up autonomous Claude agents in their cloud with containers, tools, and multi-agent orchestration built in. Here's how it works and how to get started.
The source code for Claude Code leaked. In this post, we explore how it actually works, from the moment you type a message to the moment it delivers working code.
I built a Claude Code skill that drafts and publishes my weekly newsletter to Kit, so it actually gets done every week.
Cowork turns Claude from a chatbot into an agent that actually does work. I built my own version called Jarvis and here's what I learned.
Convert any blog post into a podcast with natural voice, emotional range, and realistic pacing—all powered by Cartesia's ultra-realistic TTS.
Everything Claude — from Claude Code workflows and prompt techniques to MCP integrations, custom skills, and building production apps with the Claude API.
Hands-on reviews and workflow guides for AI coding tools — Cursor, Claude Code, Amp, and more. Find the right tools and learn how to use them effectively.
Deep analysis of large language models — GPT, Gemini, Claude, and open-source alternatives. Benchmarks, reviews, and what actually matters for real-world use.
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