guide ai-agents
The Ultimate Guide to Designing And Building AI Agents
Learn four production AI agent architectures, the components each needs, and practical patterns for designing agents that work reliably.
31 min
AI Agents
Practical guides on building autonomous AI agents — from framework comparisons and SDK tutorials to production architectures and real-world case studies.
21 articles
Start Here: Your AI Agent Journey
- 01
The Ultimate Guide to Designing And Building AI Agents
31 minStart with the fundamentals — the four core architectures every agent builder needs.
- 02
Context Engineering: Setting AI Agents Up for Success
9 minNow learn how to feed agents the right context so they actually work.
- 03
Build a Coding Agent in Python: Step-by-Step Tutorial
28 minPut theory into practice — build a real coding agent from scratch.
- 04
Building a Deep Research Agent with LangGraph And Exa
17 minLevel up to multi-step workflows with a production research agent.
- 05
Ralph Wiggum: The Dumbest Smart Way to Run Coding Agents
8 minThe pragmatic trick for running agents autonomously at scale.
Foundations
Core concepts, architectures, and mental models before you write a line of code.
guide ai-agents
Context Engineering: Setting AI Agents Up for Success
Context beats prompts. Learn the systems that separate high-performing AI agents from the ones that hallucinate and fail—with real architecture patterns.
9 min
Framework Deep Dives
Compare the major agent SDKs side by side — setup, architecture, and production patterns.
guide ai-agents openai
OpenAI Agents SDK Tutorial: Build Production Agents
Build production AI agents with the OpenAI Agents SDK. A practical Python guide to tools, handoffs, guardrails, sessions, human approval, and tracing.
19 min
guide ai-agents google
Google Agent Development Kit (ADK): Complete Guide
Learn Google ADK with practical Python examples for tools, multi-agent systems, workflow graphs, memory, evaluation, A2A, MCP, and production deployment.
48 min
tutorial ai-agents python
How To Build Web-Aware AI Agents with Exa
Build web-aware AI agents with Exa search, with practical code examples for research, competitive analysis, retrieval, and source selection.
19 min
Build Something Real
Step-by-step tutorials building complete working agents.
tutorial ai-agents python
Build a Coding Agent in Python: Step-by-Step Tutorial
Build a working coding agent in Python with the Claude API. Add tool use, file editing, code execution, context management, and verification.
28 min
tutorial ai-agents langgraph
Building a Deep Research Agent with LangGraph And Exa
Roll your own research agent that beats OpenAI's Deep Research for custom workflows—auditable, private, and integrated into your actual tools.
17 min
tutorial ai-agents research
Building a Competitor Intelligence Agent with Browserbase
Monitor competitor ads in real-time using browser automation that looks human, bypasses detection, and feeds AI-powered competitive intelligence.
14 min
tutorial ai-agents automation
I Built an AI Chief of Staff That Runs Entirely on My Laptop
Built an AI executive assistant that runs entirely on your laptop—zero API costs, zero data leaving your machine, complete privacy.
9 min
Business Automation
Agents that do real business work — competitor monitoring, market research, content production.
tutorial ai-agents research
Firecrawl Competitor Research: Step-by-Step Tutorial
Stop manually checking competitor websites. AI-powered scraping that extracts clean data, detects changes, and generates actionable business intelligence.
18 min
tutorial ai-agents research
Build a Market Research Agent With Parallel AI
Automate VC due diligence: paste a startup URL, get competitive analysis, whitespace identification, and investment-ready insights in minutes.
13 min
tutorial ai-agents automation
Build a Content Agent for VC Investment Memos
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.
11 min
More Articles
guide ai-agents coding-tools
What Is an Agent Harness? How Coding Agents Actually Work
Inside Claude Code, Codex, Amp, and Factory: agent loops, tools, context, sandboxes, permissions, memory, and feedback.
27 min
guide claude ai-agents
Claude Cowork Tutorial: Build a Personal AI Assistant
Build a Claude Cowork personal AI assistant that organizes files, creates documents, connects to tools, and runs recurring tasks without code.
37 min
guide ai-agents claude
Claude Managed Agents: Cloud Agent Tutorial
Learn how Claude Managed Agents provides hosted containers, tools, sessions, and multi-agent orchestration for building autonomous agents.
13 min
guide claude ai-agents
The Anatomy of Claude Code And How To Build Agent Harnesses
See how Claude Code's agent loop handles prompts, tools, context, and verification, and apply the same design to your own agent harness.
41 min
guide ai-agents claude
How To Automate Your Email Newsletter With Claude Code
I built a Claude Code skill that drafts and publishes my weekly newsletter to Kit, so it actually gets done every week.
13 min
guide claude ai-agents
Claude Agent Skills for Teams: Deployment Guide
Deploy governed Claude Agent Skills across a team. Learn distribution, access control, testing, updates, security, and ownership at scale.
21 min
tutorial claude ai-agents
How to Build a Jarvis AI Assistant With Claude Code
Build a personal Jarvis AI assistant with Claude Code that plans your day, manages projects, processes email, and remembers how you work.
21 min
tutorial ai-agents python
Cartesia AI Tutorial: Build an AI Podcast Generator
Convert any blog post into a podcast with natural voice, emotional range, and realistic pacing—all powered by Cartesia's ultra-realistic TTS.
11 min
Explore More Topics
Claude
Everything Claude — from Claude Code workflows and prompt techniques to MCP integrations, custom skills, and building production apps with the Claude API.
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Coding Tools
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.
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LLMs
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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