OpenAI's assistant — the course's default thinking and planning surface, and the tool every mechanism gets demonstrated on.
claude: the trainer moved to Claude for connectors while keeping ChatGPT for brainstorming
| Session | Coverage | Moment | What happened |
|---|
| Basecamp 1: Prompting & RAGs | demonstrated | 0:37:24 | Tokenization visualization, hallucination demo ('Claude Juggernaut'), bad vs personalized diet-plan prompting |
| Basecamp 2: Vibe Coding | demonstrated | 0:54:17 | Whole planning layer: feature extraction from pricing screenshots, MVP definition, PRD, and Lovable-ready prompt generation; trainer's current brainstorming default over Claude |
| Basecamp 5: MCP | demonstrated | 2:23:07 | Rival connector ecosystem; apps feature ~5-6 months old per trainer, reliability ~4/10 vs Claude 7/10 |
| Session 5: Mastering Lead Generation | demonstrated | 1:39:51 | The ICP research chain: capability → ranked industries → titles/size/geo/keywords → final targeting spec merge |
| Session 7: The Outreach Engine | demonstrated | 0:55:42 | Projects + Sources as the skill runtime: attach skill.md, prompt with your service, get the offer |
| Session 13: Claude Code — Skills, Sub Agents & the Token Economy (posted as 'Beyond Vibe Coding — n8n & More') | demonstrated | 1:02:17 | The discovery engine: MCP lookup, design top-10, install commands |
| Session 16: GitHub 101 — Fundamentals & Essentials | demonstrated | 1:21:05 | Escape-room ideation (20 themed variations) and the Lovable build prompt; conversation link shared with the cohort |
| Session 17: Facebook Ads Competitor Research & Replication | demonstrated | 1:09:06 | Split-screen code generator for every code node, the Apify curl, the JSON parsing, the ad-generation system prompt, and live debugging; trainer's paid subscription |
| Session 18: Nano Banana + Veo 3.1 Multi-Shot Video — UGC Genie, an AI-UGC Product Built Live | demonstrated | | Desktop app; project-folder context binding ritual repeated ('drag the chat inside') |
| Session 19: Content Strategy Pipeline — the YouTube Growth Stack, Built by an Agent Team of Chats | demonstrated | | Desktop app: projects, drag-chat-into-folder context binding, terminal button shown to a learner |
| Session 20: Complete LinkedIn Agency Automation — Carousels + Newsletter from One Content System | demonstrated | | Desktop app hosting the project; Files tree explored |
| Session 21: Advanced Data Extraction from PDFs — Parsing, OCR, and the Token-Free Product | demonstrated | | Desktop app hosting the AuthReady project; folder-tree visibility gap puzzled over live |
| Session 22: Automate Admin Tasks — Advanced RAG (Enterprise 'Internal Perplexity' Built Live) | demonstrated | | Desktop app hosting the Codex project ('Talent Lens') |
| 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 | demonstrated | 2:14 | The coding agent reaching into PostHog; model named as heard ('6.1 high') |
| 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 | 0:21:00 | Temporary chat to extract stack, MVP and write CLAUDE.md and DESIGN.md |
| Day 1: APIs, Webhooks, How LLMs Predict, CoStar vs Meta Prompting, Local Models, and a Live RAG Build | demonstrated | | Token counts, embeddings, prediction variability demos |
| Day 5: MCP as Concierge — Easy/Medium/Hard Modes, Stacking Servers, Smithery Vetting, and RAG vs MCP | demonstrated | | Connectors menu; Spotify playlist demo |
| Day 1: How a Model Learns (Teachable Machine Live), Context Engineering, CO-STAR, Artifacts, Connectors, and Claude Cowork Running a Daily Stand-up | demonstrated | | Canvas; Projects; custom GPT |
| 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 | | Routines; custom GPT |
| Sections 1-2: Why AI, Not ChatGPT — Four Prompting Techniques, ChatGPT vs Claude vs Gemini, and Tools vs Marketplaces | demonstrated | | Full interface walkthrough; 4o; Customize + Memory |
| Section 3: AI Image Generation — Nano Banana Pro's Nine Use Cases, Grok vs Nano Banana, Photoshop's Five AI Tools, Ideogram Logos, Image Ads, and Upscaling | demonstrated | | Image generation, inpainting, transparent PNG, site graphics |
| Section 6: Four Full Builds — a Faceless Hook in 20 Minutes, a '$300,000 Ad for Under $30', an Animated Music Video, and a Viral AI-Clone Action Sequence | demonstrated | | Scripts, prompt templates, animatic extraction |
| Sections 7-8: Thumbnails That Stop the Scroll, and Writing With AI — Train It on Your Voice, Ideas to Outline to Script, Canvas, Research, Feedback, Repurposing, and the 5-Part Ad Formula | demonstrated | | Memory, Projects, Canvas; every writing workflow |
| Bonus: Launch a Digital Product With AI in Two Days — Quick-Win Products, Order Bumps, Seven Myths, and the Five-Step AI Build | demonstrated | | Every research, copy and script step; free tier sufficient |
| Supplement: The Realtor Reel Pipeline, Twenty-Five AI Filmmaking Moves, and Five Editors Graded Out of Ten | demonstrated | | Script for the realtor reel; also writes music and image prompts |
| Why 99% of Personal Brands Fail: Trust at Scale, Real vs Vanity Metrics, and Pillar 1 - Your Story | demonstrated | | Story workflow, same chat as Day 1 |
| Pillar 2 - Your Specialty: Own One Thing, the Specificity Formula, and the 'Get Ultra Specific' Interrogation Workflow | demonstrated | | Ultra-specific workflow; window failed at 0:16 |
| Pillar 3 - Your One Person: Write for One, Attract Thousands (the Five Questions and the AI-Drafts-First Variant) | demonstrated | | Persona workflow, both variants |
| Pillars 4 and 5 - Mission and Method: the Contrarian Mission Statement and Packaging Your Process as a Named Framework | demonstrated | | Mission and framework workflows |
| Find a Profitable Niche and Build Your Positioning Statement: the Passion/Profit Matrix, Four Validation Questions, Perplexity-then-ChatGPT Research, and the Master Formula | demonstrated | | Niche score; positioning statement |
| Four Ways to Never Run Out of Ideas: Expertise Mining, the 5-Year Reflection Interview, Audience-Question Mining in Perplexity, and Competitor Analysis | demonstrated | | Canvas, 50 ideas, voice interview |
| Write a Full Post with AI: 15 Hooks, the Post Template with a Virality Score, Human Polish, Seven-Format Repurposing, and the 30-Day Calendar | demonstrated | | Hooks, post, polish, repurpose, calendar, CSV export |
| Find Anyone on LinkedIn: Three Prospecting Layers, Boolean Search, and Two Free Unlimited-Search Hacks (LinkedInProspect, RecruitmentGeek) | demonstrated | | Company list |
| Headline and Headshot in Under 20 Minutes with AI: the Mega-Prompt and a Nano Banana Pro Headshot | demonstrated | | Headline mega-prompt |
| Build a Lead-Generating LinkedIn Banner in Canva, with an AI Banner-Copy Prompt | demonstrated | | Banner-copy prompt |
| The About Section: the HSVC Framework, Five Writing Methods, and the Generator Prompt | demonstrated | | About generator (same chat) |
| Final Sections and Power Moves: Results-Focused Experience, Follow vs Connect, Settings, and the Branded URL | demonstrated | | Experience rewrite |
| Prompt Engineering for Writers, Part 1: Weak vs Professional Prompts, COSTAR, a Five-Email Worked Example, the Meta-Prompt, and Three Prompting Modes | demonstrated | | |
| Prompt Engineering for Writers, Part 2: Four Templates - Voice Matching, Hook + CTA, Thought-Leadership Outline, Complex-Topic Simplifier | demonstrated | | Prompt generation |
| Claude (Opus) and ChatGPT for Data Analysis: a Role-Defined Prompt, a Targeted Question, and a PDF Report | demonstrated | | Same prompt in parallel |
| 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 | | |
| Shipping a Web App to the iOS App Store with Expo and Claude Code: WebView Wrapper, EAS Build and Submit, App Store Connect and TestFlight | 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 | | Projects on GPT-4o for keywording |
| ChatGPT Overview: Origins and Adoption, Learning from Feedback, the Model Selector, Custom GPTs and Memory | demonstrated | | |
| ChatGPT Models, Custom GPTs and Memory: Choosing a Model, Building a "Reel Hook Ninja" GPT, and Managing What It Remembers | demonstrated | | |
| ChatGPT Multimodal, Image Generation, Share and Download: Files In, Posters Out, and Moving Work Out of the Chat | demonstrated | | |
| ChatGPT Video, Projects and Threads: Sora Settings and Style Presets, Project Folders with Files and Instructions, and Filing Chats | demonstrated | | |
| Happenstance Deep Dive: Search Your Own Network in Plain Language - LinkedIn Import, Friend and Group Sharing, Person Research Reports | demonstrated | | |
| AI Career Coach: a Custom GPT That Knows Your Resume, and a Gemini Gem Industry Researcher | demonstrated | | Custom GPT builder |
| Cold Mailing: Hunter Lead Discovery, a ChatGPT-Drafted Email, Spam Score, Scheduling, and When Not to Cold-Mail | demonstrated | | Email body |
| Chapter 3: The Workflow — Four Steps, Four Agreement Rounds, No Going Back | demonstrated | | His custom prompt digests the questionnaire and feeds the sitemap step |
| Chapter 5a: The Client Build — Discovery to Direction with Lucy's Bakery | demonstrated | | Role-primed sitemap cross-check; section-copy drafting with the anti-copywriter re-prompt |
| Chapter 5c: The Finish — Details, Feedback, AI Images, and the Polished Preview | demonstrated | | Copy drafting and palette-constrained image generation - 'I would even start here these days' |
| Prompting for Marketers: Role, Output Format, Context - and the Same Brief in ChatGPT o3 versus Manus | demonstrated | | |
| Day 2 (afternoon): MCP as the USB Port for AI, Building a Server in Two Lines, the Four Orchestration Shapes, and CRUD as the Security Model | demonstrated | | Agent Mode shopping on Amazon.in |
| 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 | | CRO expert; research merge |
| 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 | | Custom GPT wizard; Configure tab |
| Bonus Session (Day 3): No-Code Automation in Make.com - Form to Sheet to Email, the 7-Step Process, and a Daily AI Image-and-Caption Poster for Instagram and LinkedIn | demonstrated | | Plain text -> HTML |
| Evaluating AI Research Tools, Part 1: the Bake-off Method, a Market-Landscape Report, and a Notion Competitor Benchmark | demonstrated | | Deep Research |
| Evaluating AI Research Tools, Part 2: Buyer Personas, Marketing Trends, a Content-Gap Analysis, the Verdict, and Adapting a Proven Prompt | demonstrated | | Deep Research |
| AI Sprint: GPT-6 Astra Live - Day 2 (Restaurant-Chef Analogy, Model-Harness-Workflow, the Six-Block Delegation Brief, a Ten-Page Launch Pack in One Loop, and Making Astra Argue Against Itself) | demonstrated | | Chat vs Work tabs; plugins |
| 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 | | Project and brainstorming; Kindle book conversion |
| AI Sprint: OpenClaw — Session 2 (Token Anatomy, Claude Code Inside the Server, Skills, and Multi-Agent Workspaces) | demonstrated | | The patient-technical-partner starter prompt: one command at a time, screenshots back — and the live rookie-mistake catch |
| 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) | demonstrated | | Project memory kept the restoration workflow across two weeks |
| AI Sprint: AI Evals & Reliability — Day 2 (Testing Systems That Never Answer Twice) | demonstrated | | The same-prompt-twice non-determinism demo |
| Zapier Overview: Trigger and Action, Start from Templates, and Filters, Formatter and Multi-Step Zaps | demonstrated | | |
| Build Reliable AI Apps Using LangGraph: The Travel Agent That Changes Its Mind — State, Nodes, Cycles, Interrupts, and Why the Vocabulary Is the Skill | explained | | The 'attempt one' counter-example - confident plan, no real prices, no budget check - and also the recommended tool for generating the ten eval-set edge cases. |
| Session 1: Getting your first Client | explained | 1:01:22 | The market-validation research partner: top-5 pain prompts, niche ranking ('what companies rely on cold email?' → recruiting), TAM and gap questions |
| Session 29: Build Always-On Assistants — Autonomy Is Designed, Not Switched On (OpenClaw on a VPS, Hermes on the Desktop) | explained | | As the interviewer that writes your soul.md, and the same pattern for prompt design. |
| Make Websites Agent-Ready with WebMCP: Front-End Tools for Browser Agents, the Tool Menu, MCP vs WebMCP, and a New Service Offer | explained | 0:53 | Its browser has WebMCP enabled |
| 24/7 Chief of Staff: Building 'Jarvis' - Hermes Agent as the Brain on an Azure VM, DeepSeek Harness as the Pluggable Face, Agent Client Protocol Instead of MCP, a Realtime Voice Orb, and Tailscale to Keep It Yours | explained | 0:15:00 | 'Dot' personal agent with call feature |
| Day 8: AI Workflows — Chaining Tools, the IDEA(L) Analysis Framework, Claude Skills vs MCP vs Projects, and the Reel-Cloning Pipeline | explained | | Free Skills workaround via skill.md meta-prompt |
| Sections 4-5: AI Clones and AI Video — the 5-Step Workflow, Image-to-Video Prompting, First/Last Frame, HeyGen, Runway Aleph, ElevenLabs Voice, and Wan 2.2 Replace | explained | | Ideas, script, prompt drafting |
| The Outreach Playbook: Fan/Neighbor/Peer Requests, the 5-Touch Strategy, Crystal Knows Personality Reads, Acceptance Benchmarks and Weekly Limits | explained | | Free personalisation prompt |
| Copilot Standalone Chat and Image Generation: Hooks and LinkedIn Posts, Follow-Up Nudges, and How Prompts Get Expanded | explained | | |
| Introduction to AI-Powered Content Creation: the Five-Step Stack, the 70/30 Split, Tool Roles, and a Starter Challenge | explained | | |
| Practice Lab: Six Confidence-Building Projects | explained | | Project 6's Custom GPT/Project home |
| Learning Topics: Sessions 1–5 — Foundations to AI Director | explained | | Named across sessions as general assistant, Custom GPT builder (paid plan required in the source snapshot), and voice-mode rehearsal surface |
| Vibe Marketing: Emotion x Automation x Virality, the Marketer as Orchestrator, and an AI Squad of Tools | explained | | |
| Day 1: What Makes an LLM an Agent - Planning, Tools, Memory, Actions; Five Design Patterns; and Cursor, Antigravity and Claude Code Live | explained | | Knowledge-cutoff illustration |
| Building a Web App with Replit: Vibe Coding Explained, the Tool Landscape, and a Live Build of a Business Site with an AI Sales Chatbot | explained | | Writes the starter and system prompts |
| 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) | explained | | Oct 14: DOTS, Spaces, Pages and Codex from OpenAI Dev Day 2026 |
| Basecamp 3: Introduction to n8n — I | mentioned | 1:30:55 | Cloud-model roster in the chat-model node; Grok-OpenAI legal battle quip |
| Session 2: How to Plan, Scope and Sell your AI Projects | mentioned | 0:16:25 | Selfie → professional headshot; banner generation; ChatGPT as the AEO citation engine |
| How to Build Vertical Harnesses: The Car Analogy, a Reusable Folder Template, and Live Builds that Print a Keycap, Replace a TV's Bloatware, and Reach Physical Devices Over SSH and Tailscale | mentioned | 0:27:00 | Stock car; Codex shares the account sign-in |
| AI Studio Chat, Compare Mode and Temperature: Reading the Thinking Trace, Picking a Model, and Turning Creativity Up or Down | mentioned | | |
| The Video Formula, Packaging, and Getting Comfortable on Camera — Hook, Foundation, Loops, Outro; Titles and Thumbnails Before Filming; and an Eight-Step Ladder Out of Camera Anxiety | mentioned | | Generating shorter title variants |
| Record Once, Post Forever: Shooting the 3-5 Minute Raw Video Your AI Clone Trains On, and the Teleprompter Hack | mentioned | | Generate a script to read |
| Connect the Dots: Link ElevenLabs to HeyGen by API Key, Produce Your First Avatar Video, Fix Pronunciation, and the External-Audio Workaround | mentioned | | Phonetic respelling |
| Claude Multimodal and Long Context: Analysing Images, Summarising a 64-Page Report, and Mining a YouTube CSV with Code | mentioned | | |
| Numerous AI: ChatGPT Inside Google Sheets - Sentiment, Keywords and Issue Buckets on Amazon Reviews | mentioned | | |
| Julius AI: Notebook-Style Analysis with Database Connectors, Self-Correcting Code, and the Four-Tool Recap | mentioned | | ~500 MB limit claim |
| Q&A and Feedback, 2 Jun 2025: A Mavic 4 Pro via Canada, the DJI FCC Scare, Care Refresh Rumours, Europe and Geofencing, Jamal's Boat Footage (Key the Blown Highlights), Goggles vs RC2 and the Drone Mask 2, and Freewell's Dual-Strength NDs | mentioned | | Researching import duties |
| Gemini Gems: Saved Custom Assistants with Instructions and Knowledge Files, and Choosing Flash or Pro with Show Thinking | mentioned | | |
| Beginner Glossary (30 terms) + I'm Stuck Guides (23) | mentioned | | Named in the paid-plan token guide and tool-selection guide |
| Manus Overview: an Agent That Builds Slides, Images, Video and Websites, and the Three-Zone Dashboard | mentioned | | |
| The Future of Vibe Marketing: Four AI Trends, Assistant Chef versus Head Chef, Career Paths and Staying Current | mentioned | | |
| NotebookLM Overview: a Source-Grounded Research Assistant, Notes Formats, Citations and a Start-Small Workflow | mentioned | | |
| Perplexity Overview: Live Web Search plus AI Synthesis with Line-Level Citations, Live Data, and Deep Research | mentioned | | |
| 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 | | Named as an example of 'LLM' - and explicitly excluded from W1 |
| Supergrow Deep Dive: a LinkedIn Personal-Branding Suite - Post Generator with Content Styles, Voice-to-Post, Carousels and Scheduling | mentioned | | |
| SuperJoin Deep Dive: AI Data Analysis Inside Google Sheets - Connectors, Prompt-Driven Reports, and In-Cell SuperGPT Formulas | mentioned | | |
ChatGPT