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Master Claude AI: Fable 5, Cowork & Agents for Business
Role Play
New
Rating: 2.8 out of 5(2 ratings)
7 students

Master Claude AI: Fable 5, Cowork & Agents for Business

Automate real work with Claude Fable 5, Cowork agents, skills, connectors & MCP — safely. No coding. (Unofficial)
Created byAutomation Labs
Last updated 6/2026
English
English

What you'll learn

  • Understand what Claude Fable 5 — the first Mythos-class AI model — changes for your work, and when it's worth 2× the cost of Opus
  • Use Claude confidently across Chat, Cowork, and Claude Code — and pick the right model for every job
  • Delegate real multi-step work to Cowork agents: reports, data extraction, file operations, cross-tool briefings
  • Get consistently better output with a repeatable prompting method — role, task, context, format, constraints, and iteration
  • Work safely with AI agents: permissions, least privilege, prompt-injection defense, and the 'unverified ≠ fact' habit
  • Build your own no-code Claude Skills and automate recurring workflows end to end
  • Connect Claude to your tools with Connectors (MCP) and package whole roles with Plugins
  • Roll Claude out to a team: roles, cost controls, provisioning, analytics, security & compliance

Course content

16 sections136 lectures7h 36m total length
  • What You'll Be Able to Do by the End2:32

    Discover the shift this course teaches — from asking an AI questions to delegating real multi-step work — and the three concrete outcomes you'll be able to build by the final section.

  • How the Course Works — and How to Use It2:26

    Get the map of the course: three parts, two tracks, and the resources that ship with every section — so you can choose the path that fits your role and your time.

  • Set Up Claude in 3 Minutes (Free Is Fine to Start)2:52

    Set up a working Claude account in about three minutes, no credit card required. Learn why the free plan covers the first part of the course — and exactly when that changes.

  • Your First Real Win: One Prompt, One Working Artifact3:36

    Go from a blank chat box to an interactive one-pager fit for a leadership meeting — with a single prompt. More importantly, learn the repeatable pattern behind it.

  • The One Principle That Makes AI Safe to Trust at Work2:31

    Learn the one principle every safe AI workflow rests on. Get it right and you can delegate aggressively; get it wrong and AI becomes the most confident source of errors your business has ever had.

  • Pick the Workflow You Want Automated by the End

Requirements

  • A Claude account — free to start; a paid plan (Pro/Max/Team) unlocks the Cowork automation sections
  • No coding required — the optional technical lectures are clearly marked
  • A desktop computer (Mac or Windows) — Cowork runs in the Claude desktop app

Description

This course contains the use of artificial intelligence.

In June 2026, the ceiling moved. Anthropic released Claude Fable 5 — the first Mythos-class model ever made generally available — and suddenly the most capable AI on the market is sitting in the same model picker you already have access to. Here is the uncomfortable part: for most professionals, nothing will change. They will keep typing one prompt at a time into a chat box, get a decent paragraph back, and call it "using AI." The bottleneck is no longer what the model can do. It is whether your work is actually set up to use it.

This course closes that gap. Over sixteen sections you will go from typing prompts to running a working digital coworker: an agent that reads your folders, drafts your reports, refreshes your spreadsheets, briefs you on Mondays, and asks permission before it touches anything that matters. Not a demo. Not a toy example with fake data. Real delegation, with real guardrails, on the Claude tools that exist right now — Chat, Cowork, skills, connectors, plugins, and the Model Context Protocol.

Why learn this from us

We are Automation Labs, and we are not teaching theory. Our own business runs on these exact systems every day — research agents, content pipelines, reporting workflows, scheduled tasks, and the security hooks that keep them honest. The course material comes from that daily practice, and it has been through two full verification passes against live Anthropic documentation before recording. Where a fact is likely to change — a price, a plan tier, a button label — we version-stamp it on screen and in narration, and we maintain the course as the platform evolves. You will hear "as of June 2026" in this course because we would rather be precise than impressive. Every section also ships with downloadable resources — cheat sheets, templates, and working files — drawn from the same library we use internally.

What you will actually build

This is a build-first course. By the time you finish, you will have constructed:

  • A Monday-morning briefing assistant that compiles a weekly digest from your own notes and tools — then runs on a schedule

  • A marketing content drafter with a built-in fact-check gate, so nothing unverified slips into your copy

  • A sales account one-pager generator that turns scattered account data into a clean, current brief

  • A finance spreadsheet refresh that updates real workbooks with working formulas — read-only sources, flagged anomalies

  • The Meeting-Notes Tidier: your first installable skill, built step by step and packaged so a colleague can use it

  • A capstone automation of your own choosing — specced, built, edge-case tested, governance-checked, and shipped

Every build-along names the model it uses and why, so the "which model, when" decision becomes a habit instead of a guess. And because the goal is your work, not ours, the course ends every major section with an assignment that points the technique at one of your own routines — by the final section you are not repeating our examples, you are shipping your own automation.

A tour of the sixteen sections

Section 1 gets you a real win fast: Claude set up in minutes and one prompt producing a working artifact, plus the single principle that makes AI safe to trust at work. Section 2 maps the landscape — Chat versus Cowork versus Claude Code, the full model lineup, and every plan from Free to Enterprise, decoded. Section 2A is the Fable 5 deep dive: what Mythos-class means, the numbers that define the model, how its safeguards work, and a worked cost decision on when the premium model pays for itself.

Section 3 is chat mastery: Projects with retrieval, artifacts, memory and incognito, research mode end-to-end, and real file creation — actual Excel workbooks with formulas, Word documents, presentations, and PDF files. Section 4 teaches prompting as a method, not luck: anatomy of a strong prompt, steering with examples, grounded answers, five reusable work patterns, and a live teardown from bad to great.

Sections 5 through 7 are the heart of the course. You will learn what Cowork is and how it differs from chat, run your first delegated tasks — organizing a messy folder, turning screenshots into a structured spreadsheet, building a branded report from scattered notes — and then complete the four build-alongs above. Section 6 sits in the middle on purpose: the approval dial, least privilege, read-only defaults, computer-use lockdown, and a calm, practical explanation of prompt injection and how to defend against it.

Sections 8 through 11 cover the extension system: what skills, connectors, sub-agents, hooks, and plugins each do, how they fit together in one picture, and how to build your own. You will package a skill from scratch, connect Claude to tools like Slack and Drive with scoped permissions, understand local MCP power and risk, watch a security plugin halt a poisoned task in real time, and — on the clearly marked technical track — build a plugin from a template.

Section 12 is the capstone: choose a worthwhile, low-risk automation from your own work, spec it on one page, build it live, test the edge cases, put it on autopilot, and run the two-minute governance check before anyone else depends on it.

Sections 13 through 15 extend the course to teams: rolling Claude out across an organization — roles, seats, single sign-on, capability controls, and cost management — followed by governance, security and compliance in depth, and a full settings tour with a recap. These team-scale sections arrive as an included content update in the first weeks after launch, at no extra cost to enrolled students.

The differentiator: governance, not just capability

Plenty of material can show you what Claude does. Almost none of it shows you how to run it responsibly. This course treats safety as a first-class skill: every workflow you build gets a permissions audit, every automation gets a "needs your eyes" gate for decisions that deserve a human, and the habit of treating unverified output as a draft — never as fact — runs through every section. If you are a founder or team lead, this is the difference between an AI rollout you can defend and one you quietly hope nobody asks about. You stay accountable for what your AI does; we show you how to make that accountability real.

Kept current

This course is updated for Claude Fable 5, June 2026. Volatile facts are isolated into clearly marked lectures so updates land fast when the platform changes, and dated claims are stamped on screen. When the model lineup or the interface moves, the affected lectures get refreshed — that is the maintenance promise this course is built around.

Honest requirements

You need a Claude account; the free tier is enough for the early sections. The Cowork and automation sections require a paid plan and the desktop app on a Mac or Windows computer — the course shows exactly what each tier unlocks before you spend anything. No programming background is required. A handful of optional technical-track lectures go deeper for those who want them, and they are clearly labeled so everyone else can skip them without losing the thread.

Who this course is for — and who it is not for

It is for professionals and operators who want to genuinely automate parts of their daily work; for founders, executives, and team leads evaluating or rolling out Claude across a company; and for consultants and internal "AI champions" who need to be the most informed person in the room. It is not for people looking for a pack of copy-paste prompts, get-rich-quick automation schemes, or API programming tutorials — this is a hands-on, current, carefully verified course about doing real work with AI, safely.

This course is an independent production by Automation Labs and is not affiliated with, sponsored by, or endorsed by Anthropic.

If that sounds like the course you have been waiting for, preview the free lectures and see the build quality for yourself.

This course contains a promotion.

Who this course is for:

  • Professionals and operators who want to actually automate their daily work with Claude — not just chat with it
  • Founders, CEOs, and CTOs evaluating or rolling out Claude for a team — with governance, cost control, and security answered
  • Consultants, ops, marketing, sales, and finance people who want a working 'digital employee' without writing code
  • NOT for anyone seeking a generic prompt pack — this is a deep, current, hands-on course