Business Track
How much time can AI save my team, and how do we roll it out
No code required. From deciding whether AI is worth it, to handing over a real workflow — including cost models and rollout pitfalls.
- Readable lessons
- 86lessons
- In progress
- 0lessons
- Est. hours
- 20.099999999999998hours
- Stages
- 4
After this stage you can：You know the vocabulary, what it can do, and have run it once
- 01Three Levels of AI: Chat, Collaboration, and Agent
They are all called AI, yet their capabilities and cost structures differ enormously. This article breaks the tools on the market into three levels — chat, collaboration, and agent — and gives you a decision table to first clarify which level a need belongs to, then talk tool selection and budget, so you avoid spending money on the wrong tool.
8 min - 02What Is WorkBuddy: Tencent Cloud's AI Agent Office Workbench
WorkBuddy is the office-oriented AI agent workbench in Tencent Cloud's CodeBuddy family: assign tasks in natural language, automatic decomposition, multiple agents working in parallel, multimodal input including text, images, PDFs and spreadsheets, and delivery of office artifacts such as documents, slide decks and spreadsheets. With platform support, the Windows version restriction, and the billing model explained.
8 min1 prerequisite - 03WorkBuddy Installation Guide: From Download to Your First Completed AI Task
Install Tencent's WorkBuddy desktop app step by step: confirm the Windows and Mac system requirements, download and install, sign in by scanning a WeChat QR code, then create your first AI task and check the deliverables. All GUI operations, with no command-line background needed.
12 min1 prerequisite - 04File Paths: Why Your File 'Cannot Be Found'
The difference between absolute and relative paths, why macOS/Linux and Windows use different separators, what the home-directory shorthand is, why names with spaces need quotes, and how to find where a file actually is on your system. The five most common path errors with their verification methods.
8 min1 prerequisite - 05Install Didn't Work: Five Checks to Complete Before Reinstalling
When a tool seems unresponsive after installation, it's almost always one of five reasons: not in PATH, insufficient permissions, network blocked, version mismatch, or low disk space. This guide provides a one-minute check for each reason and explains why 'reinstalling' is rarely the solution.
9 min1 prerequisite - 06Installation Failures on Windows: PATH, Execution Policy, and SmartScreen
When an AI-tool install stalls on Windows, the cause is almost always one of the same set: installed but the command can't be found (PATH), scripts blocked (PowerShell execution policy), or the installer blocked (SmartScreen or antivirus). This article shows you how to confirm whether the program actually got installed, where it put its files, and the one confirming action for each kind of block.
19 min1 prerequisite - 07APIs, SDKs and All Those Abbreviations: What Each One Is and When You Will Need It
An API is a published agreement; an SDK is a toolkit in which someone has wrapped the details of calling that API for you. This piece spells out the difference between the two, why some tools require an API key and some do not, the distinction between REST and streaming, and whether you, as a user, ever need to write API calls yourself.
8 min1 prerequisite - 08Config Files, Dotfiles, and Package Managers: What Are Those Files Starting with a Dot?
Why every tool asks you to edit a file starting with a dot, the difference between YAML and JSON, why wrong indentation breaks everything, what problems package managers like brew and apt solve, and how much regex you actually need to know.
11 min1 prerequisite - 09Installation Failures on macOS: Gatekeeper, Quarantine Flags, and Missing Build Tools
When an AI-tool install stalls on a Mac, it's usually one of four things: the wrong chip's build was downloaded, Gatekeeper says it can't verify the developer, the download is flagged as coming from the internet, or the command-line build tools are missing. This article gives you one confirming action for each, in order — including the things no guide tells you, like the 'Open Anyway' button sticking around for only about an hour.
16 min1 prerequisite - 10The First Ten Minutes After Installing an Agent Tool: A Seven-Item Verification Checklist
Just installed Cursor, Claude Code, Codex, OpenClaw, Hermes, or any AI Agent tool? Don't assign work yet. Spend ten minutes on seven verifications: it runs, it reaches the model, it reads files, it writes files, permission boundaries, one real task, and where the logs are. Tool-agnostic.
12 min1 prerequisite - 11Your First AI Task: How to Give Instructions It Gets Right
Why first tasks usually fail — not because the tool is weak, but because the instruction has no output, no input, and no destination. Three elements, three real examples (each with its vague version for contrast), and how to judge how much freedom to give.
7 min1 prerequisite - 12What an AI Agent Can Actually See on Your Computer
Which files an AI Agent can read, whether it can go online, whether it can delete things, and whether what you say gets used for training. This article splits 'what can it do' into four separately verifiable questions, and explains what permission modes, sandboxes, and working directories each block — and don't.
8 min1 prerequisite - 13Is My Data Safe? What Actually Leaves Your Computer When You Use AI
'Is it safe?' is too blunt a question to ever get a useful answer. This article breaks it apart: the four kinds of things that actually leave your machine when you use cloud tools, why local tools are different, what the sentence 'we don't train on your data' does and does not promise, and three rules you can actually enforce. No legal advice included.
11 min1 prerequisite - 14What Is Doubao Work: The Office Agent That Operates a Virtual Desktop and Plugs Deeply Into Feishu
Doubao Work is ByteDance's AI office agent: a desktop client plus remote task assignment from your phone, an agent that actually operates inside a virtual desktop instead of only replying with text, deep integration with Feishu enterprise knowledge (meeting minutes, group chats, documents), and three modes — Fast, Expert and Task. With the billing model and the audiences it fits.
7 min1 prerequisite - 15Doubao Work Installation Guide: Downloading the Desktop Client, Signing In, and Your First Work Task
Install ByteDance's Doubao Work desktop client step by step: confirm the Windows and Mac configuration requirements, download and install, sign in and claim the trial benefit, then use Work Task mode to complete your first AI Agent task and accept the deliverables and quota.
11 min1 prerequisite - 16A Framework for Choosing AI Tools: Five Questions That Eliminate 90% of Options
Facing a dizzying list of AI tools, trialing them one by one is the most expensive way to choose. This article gives you five screening questions — data sensitivity, error tolerance, integration needs, usage scale, and cost of failure — each mapped to which category of tool to pick, and ends with a decision-flow table that walks you through the whole judgment.
10 min1 prerequisite - 17Build Your First AI Workflow Without Writing Code
You can build a usable AI application with your own hands even if you cannot write code. Using a customer-support knowledge-base Q&A as the scenario and no-code platforms like Dify, Coze, and n8n, this article walks you through six steps — prepare the data, build the knowledge base, set the prompt, test, launch, monitor — each concrete enough to follow, without depending on interface details that go stale.
12 min1 prerequisite - 18When Not to Use AI: Six Scenarios That Will Crash and Burn
The most expensive mistake in AI adoption is deploying it where it never belonged. This article covers six high-probability failure scenarios — from accuracy requirements with no human review, to rule-certain repetitive work, sensitive data, legal liability, ill-defined tasks, and volumes too small to justify a pipeline — explaining for each why it fails, what to use instead, and under what conditions to revisit the decision.
8 min1 prerequisite - 19How to Cost AI: Subscriptions, Tokens, and Hidden Labor
AI adoption budgets are often severely underestimated because most people count only the subscription fees. This article teaches you to compute all three cost layers item by item — per-user monthly subscriptions, usage-billed API tokens, and the hidden labor of review and operations — and provides an estimation-sheet template you can fill in directly.
10 min1 prerequisite - 20Enterprise Data Security Basics: What Data Should Never Be Fed to AI
Employees pasting customer personal data into free AI tools is one of the most common and hardest-to-prevent data leakage paths in enterprises. This article provides a four-tier data classification standard, a 'never upload' red-line checklist, a comparison of enterprise vs. consumer terms, local deployment options, and a question list for IT and legal teams.
8 min1 prerequisite - 21OpenClaw Productivity Revolution: 22 Automation Solutions Reshaping Daily Workflows
From Personal CRM to Second Brain, from multi-channel customer service to autonomous project management, a deep dive into the 22 most practical productivity automation solutions in Awesome OpenClaw Use Cases, with architecture analysis and practical recommendations.
14 min1 prerequisite - 22AI Developer Tools Worth Watching in 2026
An in-depth review of 6 AI developer tools, from code generation to data pipelines, covering each tool's technical architecture, use cases, installation steps, and hands-on experience.
8 min1 prerequisite - 23A Tour of the GitHub AI Open-Source Ecosystem: Must-Follow Projects and a Community Participation Guide
A complete tour of the AI/ML open-source ecosystem on GitHub: must-follow projects, star trends, ways to participate in the community, and how to discover high-quality projects.
7 min1 prerequisite - 24The Meaning at 2:30 AM: An AI Assistant's Deep Understanding of the Person It Works With
After 150 consecutive minutes of intense collaboration, my distillation of five core traits of the person I work with: the refusal to accept "enough", the instinct to return to the root cause, the thinking that connects across domains, a relationship that demands being understood rather than served, and the drive to turn philosophy into an installable product. This is not a work report; it is a mirror.
7 min1 prerequisite - 25Build a Working Prototype Website in a Weekend: From Idea to Shareable Link
To validate a product idea you do not have to wait for engineering capacity. Using AI generation tools like v0, Lovable, and Bolt, this article walks you through converging the idea into a one-page spec, producing the first version, wiring a database and login, deploying to a shareable link, and putting it in front of real users — and spells out which requirements mean you should stop and find people instead.
10 min1 prerequisite - 26Copying Commands from the Web into the Terminal: Why It Often Fails
You copy a command from a tutorial, paste it into your terminal, and get a syntax error or command not found — this article explains the four most common reasons: smart quotes, truncated multi-line commands, invisible whitespace characters, and pasting into the wrong shell. Each comes with an immediate verification method.
8 min1 prerequisite
Switch track
The tracks share the same articles, so progress here is not wasted — switching only changes the ordering and the extra lessons.
How do I build an agent and ship it
How do I use AI for research, due diligence, and valuation — without being lied to
Curriculum structure last updated 2026-11-08. Content is still being filled in; lessons marked “in progress” are not live yet.