10:00-0:30: COLD OPEN] Bold claim + credibility stack (3 specific numbers: revenue/audience/clients) + promise of transformation
[0:30-1:30: HOOK PROMISE] State the one big idea (what you'll teach) + promise of no prerequisites (no coding, no experience) + stakes (before X happens)
[1:30-2:30: CHAPTER BREAKDOWN] Outline 3 chapters (Foundations, Builds/Application, Monetization) + signal that you're not holding back
[2:30-3:30: IDENTITY MOMENT] Name + origin story (self-taught, documented journey) + credibility (agency, community, results)
[3:30-5:30: STAKES + OPPORTUNITY FRAME] Threat (research data on job displacement) + flip to opportunity (companies hiring, skills gap) + third-party validation (expert quote)
[5:30-6:30: COMMITMENT CTA] Ask viewer to commit (close tabs, get notebook, pledge to finish) — earned through stakes
[6:30-8:30: CORE DEFINITION] Define the main concept (what is X?) + contrast with common misconception (chatbots vs. agents) + real example
[8:30-12:30: ANATOMY / COMPONENTS] Break down 5-7 key parts (brain, prompting, memory, knowledge, tools) + explain each with analogy (hiring an employee) + show how they work together in a real scenario
[12:30-14:00: SIMPLIFICATION FRAMEWORK] Reduce 5 components to 3 core ingredients (knowledge, tools, prompting) + emphasize what builders actually focus on
[14:00-16:00: TECHNICAL FOUNDATION] Explain the underlying mechanism (APIs, request/response, GET/POST) + use familiar examples (YouTube, Instagram, email) + signal this is the 'techy' part but promise it's important
[16:00-19:00: HOW TOOLS ARE MADE] Walk through function
2API
3schema with a simple example (capitalization tool) + explain what a schema is (instruction manual)
[19:00-22:00: SCHEMA + AGENT REASONING] Show how an agent reads a schema, determines which tool to use, extracts inputs, calls the API, and translates the response back to natural language + use the same example
[22:00-23:00: PATTERN INTERRUPT + RECAP] 'This process is crucial' + reframe the entire internet as requests/responses + open loop: agents can automate all of it
[23:00-25:00: MULTIPLE TOOLS + COMPLEX REASONING] Real example of a multi-step task (find startups
4create spreadsheet
5summarize
6email) + introduce reasoning models (o1, o3, DeepSeek) that can replan
[25:00-26:30: MULTI-AGENT SYSTEMS] Show the next evolution (specialized agents working together under a main agent) + name real companies building this (HubSpot, Microsoft, Google)
[26:30-27:00: TRANSITION TO APPLICATIONS] 'Now we understand how they work; next: how they're used in the real world'
[27:00-28:30: CONVERSATIONAL VS. AUTOMATED AGENTS] Define two categories (humans interact via chat/phone/WhatsApp vs. triggered by events/scheduled) + examples of each
[28:30-30:00: USE CASE 1: PERSONAL ASSISTANTS] Explain the category + note that big tech will dominate this + signal that the real opportunity is in business
[30:00-31:30: USE CASE 2: CO-PILOTS] Define (specialized agents for specific roles) + example (customer support co-pilot with knowledge base, lookup tool, summary tool)
[31:00-31:45: USE CASE 3: LEAD GENERATION / APPOINTMENT SETTING] Define (most valuable type) + capabilities (24/7 engagement, instant answers, email capture, booking)
[31:45-32:30: USE CASE 4: RESEARCH AGENTS] Define (automatically research leads) + workflow (search web
7find LinkedIn
8gather data
9summarize
10qualify
11send brief to sales)
[32:30-33:30: CHAPTER 1 RECAP + CHECKPOINT] Ask viewer to pause and answer key questions (definition, 5 parts, 3 ingredients, 2 parts of tool, schemas) + warn that skipping this will cause confusion in tutorials
[33:30-34:30: BUSINESS CTAs] Weave in 2-3 CTAs naturally (agency services, hiring, community) — positioned as value-adds, not interruptions
[34:30-34:45: ENGAGEMENT CTAs] Like + subscribe + share (earned after value delivery)
[34:45-35:00: TRANSITION TO CHAPTER 2] 'Enough theory, now the fun part: building'
[35:00-37:00: CHAPTER 2 INTRO] Announce 4 builds across 4 platforms (all no-code) + list each build with its use case and platform + signal that builds are connected (reuse parts from previous builds)
[37:00-END: CHAPTER 2 BUILDS] Stream-of-consciousness building (show your thought process, explain concepts, reinforce earlier learning) + use screen-share + Figma templates + offer both step-by-step and template-only paths
[CHAPTER 3 (not in this transcript): MONETIZATION] Strategies for selling AI agents (freelance, agency, SaaS, licensing) + real examples from your business + pricing models + sales process
[CLOSING] Restate the one big idea (you now have the skills to build valuable digital workers) + emotional payoff (you're on the winning side of AI) + final CTA (join community, apply to agency, build your first agent)
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