#agent

Beginner tutorial: first prepare Claude Code, a Codex login, or an API key. On Windows, choose the Windows Hub installer or a one-line PowerShell command. On Mac, choose OpenClaw.app or a terminal command. After finishing the onboarding wizard and setting it to run in the background, verify with gateway status and the control panel. Includes 1 ready-to-copy troubleshooting prompt.

Six bots with clear responsibilities run on a fixed rhythm: data drives ad and product changes, every deliverable comes with evidence, and spending and releases wait for human approval.

Advanced tutorial: first decide whether you need a team at all, then build it following an SOP: the orchestrator splits up tasks, specialists each do one thing in parallel, and the reviewer only reads and never edits, acting as the gatekeeper. When dispatching work, spell out everything. Set tools and effort per role, and cap budget, depth, and time. Includes complete Python code and prompts to hand to an Agent for execution.

A set of specialized bots, each handling one area: automatically summarizing email, news, and traffic every day, watching competitor activity, drafting content before anything is published, and coordinated by a manager bot.

A beginner tutorial: Obsidian is one of the better choices for a personal knowledge base today. Four steps to connect an agent such as Claude Code to your notes: install and create a vault, enable the official command line, install the Obsidian Skill, then have it check your notes before answering and save new conclusions back. Includes three ready-to-copy prompts.

The agent completes tasks on your real phone, key steps such as payments wait for you to click allow on your computer, sensitive apps are invisible, and every step comes with an explanation and a screen recording.

Use when the user asks you to do things on their own iPhone or Android phone (look up information, reply to messages, place orders, organize photos, move files). Operates through the Pinky desktop app and phone_* MCP tools, with the user approving key steps such as payments; never enters passwords or verification codes, and never bypasses any block. Use case: Let an Agent operate your phone while you watch and approve

The open-source project Horizon collects content from Hacker News, Reddit, X, GitHub, RSS and other sources, has AI score, deduplicate, and add background and community discussion, then generates a bilingual Chinese-English daily digest that can be published as a website or email, or pushed to Feishu or Slack. Includes a source list, what you need to prepare, and notes.

A plain-language rewrite of Microsoft's open-source AI Agents for Beginners 19 lessons: 5 lessons are readable by general users, and 14 are for developers who want to build their own agents. Each lesson has key points, exercises, and a tutor prompt you can hand to an agent.

Developer tutorial on what you need to run the code in Microsoft's AI Agents for Beginners course: forking the repo, Python 3.12, the Azure CLI, a Foundry project with a deployed model, and how to avoid common stumbling blocks.

A beginner tutorial that explains in plain language what an AI agent is, what parts it is made of, the common types, and which tasks suit an agent and which do not need one.

A developer deep-dive: why use an agent framework, what work it saves you, and what Microsoft's Agent Framework and Foundry Agent Service each handle.

Developer advanced tutorial: designing agents from the user experience, with ideas at three levels (space, time, core), then down to three practical guidelines: transparent, controllable, consistent.

Developer advanced tutorial: how function calling lets large models use tools, the three things you need to prepare, and what to watch for with errors, state and security when using tools.

Beginner tutorial: Regular RAG 'retrieves once, then answers', while Agentic RAG 'checks its own results after retrieving, and if they fall short, rewrites the query and searches again'. Covers the loop, suitable scenarios, and things to watch out for.

Developer advanced tutorial: to build a trustworthy agent, manage its system prompt well and recognize six common threats: tampered instructions, unauthorized access, resource abuse, knowledge base poisoning, cascading failures, and how to defend against them.

Advanced developer tutorial: how to get an Agent to handle complex tasks: set the goal first, split it into subtasks, use structured output (JSON) so downstream steps can pick it up easily, then use event-driven handling for unexpected situations.

An advanced developer tutorial on when to use multiple agents, what they offer over a single agent, and communication and collaboration patterns (group chat, hand-off) and how to see what they are doing.

Intermediate tutorial: metacognition means thinking about how you think. Have the Agent evaluate its own performance, catch mistakes, and adjust its approach, with a travel Agent example.

Developer advanced tutorial: once an agent is live, you need visibility into it. Use traces and spans to record the process, monitor latency, cost, errors, user feedback and accuracy, and run automated evaluations.