Anthropic's assistant — the course's pick once work involves your real files, calendar and tools.
| Session | Coverage | Moment | What happened |
|---|
| Basecamp 3: Introduction to n8n — I | demonstrated | 1:18:41 | Skill→system-prompt conversion, workflow mind maps, n8n JSON generation (Sonnet 4.6 — missed native Firecrawl nodes) |
| Basecamp 4: Introduction to n8n — II | demonstrated | 0:28:51 | Workflow mind map, JSON schema generation, humanizer-skill → system prompt, Lovable mega-prompt from attached workflow JSON (Sonnet; free-tier daily limit hit live) |
| Basecamp 5: MCP | demonstrated | 1:56:37 | Recommended over Sonnet 4.6 on free plans — faster, cheaper, more tokens; 'Haiku 4.5' cited for retries |
| Basecamp 6: Voice Agents | demonstrated | 2:51:27 | n8n expression generation, IANA timezone lookup, post-call description drafting, and the discovery-form → first-draft-prompt meta workflow |
| Session 6: Building an AI-Powered Lead Gen Machine | demonstrated | 2:16:31 | Drafted the analyst system prompt; preferred for signal analysis ('OpenAI can hallucinate more given lots of data'); live credit-balance failure swapped it out |
| Session 7: The Outreach Engine | demonstrated | 0:59:48 | Same skill-creation flow shown in Claude for learners who asked; also his helper for DNS redirects and the Listmonk cold-email hack |
| Session 8: The Conversion Playbook | demonstrated | 0:50:58 | Wrote the business description (Opus 4.8, with web-scrape), the ICP fields, and the full 4-email sequence with sequence-builder + Humanizer skills; hallucinated an ICP once under long context |
| Session 29: Build Always-On Assistants — Autonomy Is Designed, Not Switched On (OpenClaw on a VPS, Hermes on the Desktop) | demonstrated | | Computer use taking control of his screen to read five invoice PDFs into an Excel register, then a second agent verifying the register. |
| Founder Stack Ep03 with Shai Krishna: Why Wrappers Make AI Slop - CLAUDE.md as the Brain and DESIGN.md as the Art Direction, Founder-Led UGC with AI Avatars, Trial Reels, and Email Journeys | demonstrated | 1:17:00 | Claude app with a personal video skill; Cowork inside the app |
| Day 5: MCP as Concierge — Easy/Medium/Hard Modes, Stacking Servers, Smithery Vetting, and RAG vs MCP | demonstrated | | Web connectors: Trivago, Google Drive |
| Day 8: AI Workflows — Chaining Tools, the IDEA(L) Analysis Framework, Claude Skills vs MCP vs Projects, and the Reel-Cloning Pipeline | demonstrated | | IDEA(L) live analysis; Skills / Skill Creator |
| Day 1: How a Model Learns (Teachable Machine Live), Context Engineering, CO-STAR, Artifacts, Connectors, and Claude Cowork Running a Daily Stand-up | demonstrated | | Projects, artifacts, connectors, Cowork, Chrome extension |
| Day 2: ACR and DRA Thinking Frameworks, Connectors and Scheduled Tasks, the Image-to-Video Ad Pipeline, MoSCoW + 5 Whys, and Building LearnVault Back-End-First in Lovable | demonstrated | | ACR/DRA, connectors, scheduled tasks |
| Day 3: Markdown Prompting, Content DNA and Skills, MCP Everywhere (Vapi Call, Zomato, Apify), Goose and Local Models, a Voice Agent, and the Full n8n Customer-Support Build | demonstrated | | Markdown prompts; MCP demos |
| AI Automation Mastery I: Trigger-Logic-Action, Zapier vs Make vs n8n, and Four Live n8n Builds (Form to Email, AI-Personalised Email, Sheets and Data Tables, Scheduled LinkedIn Poster) | demonstrated | | Drafted the posts |
| Turn Content Into Leads: the 3:2:1 Ratio, Hand-Raise Posts, Three Tiers of Lead Magnet, the Comment-to-DM Funnel, and the Rule of 100 | demonstrated | | One-page lead magnet |
| Claude Overview: the Long Context Window, Plan-Gated Models, Changing Its Tone with Styles and Preferences, and Projects | demonstrated | | |
| Claude Multimodal and Long Context: Analysing Images, Summarising a 64-Page Report, and Mining a YouTube CSV with Code | demonstrated | | |
| Claude Artifacts, Integrations and Styles: a Published Interactive Content Calendar, Calendar and Gmail Search, and a Custom "Sardonic Wit" Voice | demonstrated | | |
| Prompt Engineering for Writers, Part 1: Weak vs Professional Prompts, COSTAR, a Five-Email Worked Example, the Meta-Prompt, and Three Prompting Modes | demonstrated | | Five-email sequence; Claude Projects |
| Prompt Engineering for Writers, Part 2: Four Templates - Voice Matching, Hook + CTA, Thought-Leadership Outline, Complex-Topic Simplifier | demonstrated | | |
| Claude (Opus) and ChatGPT for Data Analysis: a Role-Defined Prompt, a Targeted Question, and a PDF Report | demonstrated | | Opus model; CSV upload, report, PDF |
| AI for Designers: Product Research - Personas, Jobs to Be Done, Competitors and a Locked Value Proposition in Claude and ChatGPT | demonstrated | | |
| Research Synthesis to First Build: a PRD by Prompt-for-a-Prompt, Mood Boards in ChatGPT and Figma Weave, Grounding, and Claude Code | demonstrated | | |
| Business - Five Steps to Paid Work, Specialise 90/10, Hormozi's Four Ways to Get Clients, the Free-Video Offer, Cold Outreach With Claude Cowork, the Pricing Calculator ($100/$200/$300 an Hour), a Website on Netlify in Half an Hour, and Keywording Stock Footage With ChatGPT | demonstrated | | Cowork for lead scraping, Gmail drafts, website build |
| Claude for Marketing Analytics and Content Calendars: Long Context, CSV Analysis Like an Intern Brief, and MCP-Powered Planning | demonstrated | | |
| Competitive Intelligence on Autopilot: a Relay.app Workflow That Emails a Weekly LinkedIn Influencer Analysis | demonstrated | | |
| Day 1: The Magic Prompt Formula, a Toolkit Tour, Thinker-and-Doer Data Analysis, the Blind-Men-and-the-Elephant Research Method, and a Living Pitch Deck | demonstrated | | Extended thinking + search cold email |
| Day 2: Custom GPTs and Gems, Markdown Prompting, Cloning Your Writing Style, MCP in Daily Use, a Vibe-Coded Calorie Counter, and the Consultant-to-SaaS Road | demonstrated | | MCP orchestrator; 'thinker' in the build |
| Organic Sales Playbook, Intro: Rent vs Own, the Honest Timeline, and the Business-Coach Diagnostic Prompt | demonstrated | | Diagnostic prompt |
| Organic Sales Playbook, Part 1: Build the System - Offer, Revenue Back-Math, Buyer Research, and the First Content System | demonstrated | | Post audit, offer check, buyer research |
| Organic Sales Playbook, Part 2: Email List, Lead Magnets, Communities and DMs, SEO Fundamentals, and AEO Citations | demonstrated | | Lead magnet, blog post, SEO score, AEO audit |
| Evaluating AI Research Tools, Part 1: the Bake-off Method, a Market-Landscape Report, and a Notion Competitor Benchmark | demonstrated | | Claude Research |
| Evaluating AI Research Tools, Part 2: Buyer Personas, Marketing Trends, a Content-Gap Analysis, the Verdict, and Adapting a Proven Prompt | demonstrated | | Claude Research |
| AI Sprint: Meet GrokBot — Stop Prompting, Start Delegating (One Cloud Computer, a Chief of Staff, Four Specialist Bots, and the Reversible/Irreversible Rule) | demonstrated | | Custom instructions reused as context; 'No AI Slop' skill exported and imported |
| Understanding Jev, the AI Built for Decisions (Sprint Day 2): Two Second-Brain Systems - a Leadership Self-Review Built Problem-First, and a Tag-Classifying Knowledge Base Where a Cheap Decision Model Replaces a Chat Model | demonstrated | | Claude project for the self-review system; Haiku model for summaries via OpenRouter |
| AI Sprint: AI Evals & Reliability — Day 2 (Testing Systems That Never Answer Twice) | demonstrated | | Sonnet 4.5 as the live demo's LLM judge |
| Weekly AI Updates - October 2026 digest (Oct 7 so far: Gemini 4 'Argon', America.gov AI, Meta Muse, NVIDIA OpenShell, Grok Bot rewards, Copilot teammates, Claude Sonnet 5.5 deep dive; Mark Palmer's GBox showcase; Oct 14 so far: Google Health Coach, the White House frontier-AI accord, OpenAI Dev Day 2026, Anthropic's Oct 8 usage-policy update, Hark, Microsoft MAI voice models, Claude Haiku 5.5) | demonstrated | | Sonnet 5.5 on the free plan: repo clone, tests, patch |
| Weekly AI Updates - October 2026 digest (Oct 7 so far: Gemini 4 'Argon', America.gov AI, Meta Muse, NVIDIA OpenShell, Grok Bot rewards, Copilot teammates, Claude Sonnet 5.5 deep dive; Mark Palmer's GBox showcase; Oct 14 so far: Google Health Coach, the White House frontier-AI accord, OpenAI Dev Day 2026, Anthropic's Oct 8 usage-policy update, Hark, Microsoft MAI voice models, Claude Haiku 5.5) | demonstrated | | Oct 14: Haiku 5.5 vs Sonnet 5.5 on the triage, summary and routing prompts |
| Basecamp 1: Prompting & RAGs | explained | 1:43:28 | Thinking modes as built-in CoT; skills vs RAG distinction in Q&A (2:30:13); trainer shifted from ChatGPT to Claude for connectors |
| Session 1: Getting your first Client | explained | 2:38:52 | Offer-crafting partner: 'take this session's transcript, dump it into Claude, iterate your offer'; also between-calls solution design from recorded discovery calls |
| Session 28: Acquire Leads With Paid Ads — Sell the Click, Match the Temperature, Feed Andromeda Variety, and Do the Money Math | explained | | Homework: transcript + slides in, ads out |
| Day 6: Voice Agents That Talk Like Humans — the 5-Step Pipeline, Retell Settings That Matter, the 5-Section Prompt, cal.com Booking, and Call Logging | explained | | Runs the discovery-form meta-prompt |
| Sections 1-2: Why AI, Not ChatGPT — Four Prompting Techniques, ChatGPT vs Claude vs Gemini, and Tools vs Marketplaces | explained | | Writing specialist; Claude Code and Cowork named |
| Pillar 2 - Your Specialty: Own One Thing, the Specificity Formula, and the 'Get Ultra Specific' Interrogation Workflow | explained | | Stack discussion; $20/$100/$200 plans |
| The LinkedIn Lead-Gen Mindset and Your Ideal Customer Profile: the Funnel, Five ICP Dimensions, Buying Signals, and Deposit Before You Withdraw | explained | | Psychographic prompt |
| Introduction to AI-Powered Content Creation: the Five-Step Stack, the 70/30 Split, Tool Roles, and a Starter Challenge | explained | | |
| Beginner Glossary (30 terms) + I'm Stuck Guides (23) | explained | | Workspace terms defined (Project, instructions, knowledge file, artifact, Skill); chat-vs-memory-vs-Project and Skills-vs-instructions guides |
| Practice Lab: Six Confidence-Building Projects | explained | | Project 5's Project build (factored knowledge, XML instructions) and project 1's artifact option |
| Learning Topics: Sessions 1–5 — Foundations to AI Director | explained | | Projects (free alternative to Custom GPTs in the source snapshot), data-analysis dashboards, Research, and Claude Design for presentations |
| Workbooks 1–5: Guided Builds with Completion Proof | explained | | Workbooks 1 & 3: artifacts (three Visuals toggles as hard checkpoint), AI-powered artifacts, Projects with custom instructions |
| The Research Mindset: Why Research Is Broken, Three Research Killers, and a Starter Plan | explained | | Subject of the lesson; nothing else demonstrated |
| AI Sprint: Build Your Own AI Skills - Day 1 (Solve It Three Times Before You Build the Skill, Prompt / Skill / Project Rule, the Video-Restoration Walkthrough, and the Two-Skill Voice-Then-Deslop Pipeline) | explained | | Projects and skills; feature parity with Codex |
| Community Session 1: Causa Claims — a Non-Coder's Five-Agent Construction-Claims Pipeline, the Gate as the Product, and What RAG Really Costs | mentioned | | Opus for drafting, Haiku for chronology |
| Founder Stack Ep01: How an AI Voice Agency Actually Makes Money — Matthew Cohn on Content as the Only Free Channel, Value-Based Pricing, the Three-Problem Rule, and SOPs Before Hiring | mentioned | | A cohort member reports using Claude to sanity-check her value-based pricing math; he does not comment on the practice. |
| Build Reliable AI Apps Using LangGraph: The Travel Agent That Changes Its Mind — State, Nodes, Cycles, Interrupts, and Why the Vocabulary Is the Skill | mentioned | | Named alongside ChatGPT as attempt one, and as an option for analysing eval-set failures. |
| Office Hours XIV: Story Before Landing Page, Scoping an Agentic-Web Pitch, the Cost of Compute, Automating Past Google, and the Idea Bank | mentioned | 1:27 | Built Paul's idea bank |
| Session 17: Facebook Ads Competitor Research & Replication | mentioned | 2:24:38 | 'Opus 5 just released, and I think it's also really smart' — endorsed as an alternative code generator to ChatGPT |
| Session 21: Advanced Data Extraction from PDFs — Parsing, OCR, and the Token-Free Product | mentioned | | Reached for in the handwriting demo when ChatGPT upload stalled |
| Session 30: C3 Town Hall — Four Cohort Products Under the Knife, Outcome Selling, and the Rest of the Programme | mentioned | | Sarah built her receptionist with Claude and ChatGPT before she had met any CLI tooling. |
| Adding Beautiful Animations to Your App: Splash and Onboarding, State-Driven Micro-Interactions, an AI Layer That Never Blocks, PostHog Funnels and Feature Flags, and the Road to the Stores | mentioned | 0:11 | Named as an agent that can use the animation skill |
| AI Studio Chat, Compare Mode and Temperature: Reading the Thinking Trace, Picking a Model, and Turning Creativity Up or Down | mentioned | | |
| AI Automation Mastery II: an AI LinkedIn Pipeline with Human-in-the-Loop Approval and Nano Banana Images, Apify Lead Scraping to Personalised Cold Drafts, an AI Job-Match Scorer, Telegram Bots, and the Six-Level AI Generalist Roadmap | mentioned | | Draft a workflow JSON from a screenshot |
| Find a Profitable Niche and Build Your Positioning Statement: the Passion/Profit Matrix, Four Validation Questions, Perplexity-then-ChatGPT Research, and the Master Formula | mentioned | | Alternative deep research |
| Headline and Headshot in Under 20 Minutes with AI: the Mega-Prompt and a Nano Banana Pro Headshot | mentioned | | Equivalent alternative |
| The Five-Level AI Generalist Roadmap (+ Operating System & Monetization) | mentioned | | Across levels: Projects (L2 managed RAG), Claude Code (L4/L5), Cowork and Claude in Chrome (L4 consumer agents), the nine-surface ecosystem snapshot |
| Happenstance Deep Dive: Search Your Own Network in Plain Language - LinkedIn Import, Friend and Group Sharing, Person Research Reports | mentioned | | |
| Hands-On Project: a Chat-Triggered n8n Agent with Search, Manus Repurposing, and a Weekend Relay Assignment | mentioned | | |
| Building a Notion Database with AI: Pages with Properties, "Build with AI", and Kanban and Calendar Views | mentioned | | |
| Organic Sales Playbook, Part 3: AEO Tracking, the Four-Stage Funnel, the Non-Sleazy Ask, Scaling with AI, and Measuring What Matters | mentioned | | Cowork scheduled tasks, connectors |
| AI Sprint: Claude Code with Antigravity — Day 1 (Taste as the Moat, the Muscle-and-Mirror Setup, and the Model Council Build) | mentioned | | The Mythos drop + Carlini/OpenBSD story frames the sprint; Anthropic's $30B run-rate cited as-heard |
| AI Sprint: Choosing the Right Problem — Day 2 (A Nine-Step Worksheet from Pain Inventory to PRD, and the Honest Screen for Whether AI Belongs at All) | mentioned | | Same - named, then banned for the pain-inventory step |
| SuperJoin Deep Dive: AI Data Analysis Inside Google Sheets - Connectors, Prompt-Driven Reports, and In-Cell SuperGPT Formulas | mentioned | | |
Claude