Agentic-AI Mastery Cohort 3.0 – From Builder to AI Operator

Categories AI Automation

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09 May 2026

Access Live Session

9:30 pm - 11:00 pm

Starts on 9 May, 09:30 PM

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16 May 2026

Access Live Session

9:30 pm - 11:00 pm

Starts on 16 May, 09:30 PM

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Course Curriculum

Module 0 – THE OPERATOR’S ORIENTATION
Reset your mental model before touching a single tool - understand the real shift from automation dabbler to AI-native systems operator, and adopt the mindset, map, and rules that determine everything that follows.

Lesson 0.1 – The Real Game You’re Entering

05:57
Lesson 0.2 – The Hidden Trap That Stops Smart Builders

04:56
Lesson 0.3 – The 6-Layer AI-Native Stack

09:18
Lesson 0.4 – The Operator Rules (Non-Negotiables)

04:56
Lesson 0.5 – Preflight: Setup Before Lift-Off

03:39

Module 1 – Frontend Infrastructure & Revenue Systems
Use Orchids to deploy proven, conversion-ready frontends in hours - not as pretty pages, but as revenue engines that capture intent, take payments, and trigger your entire AI stack.

Module 2 – Brand Intelligence Systems (The Soul Layer)
Turn brand strategy into a machine-readable brain using SooloAI - so every agent, email, ad, and automation speaks in one consistent, intentional voice instead of generic AI mush.

Module 3 – Execution Systems & Internal Apps (The Hands Layer)
Build real internal tools, dashboards, and logic-driven apps using Emergent - moving beyond fragile automations into systems that hold state, enforce rules, and operate without you standing over them.

Module 4 – Decision Intelligence Systems (The Brain Layer)
Architect Claude as a structured reasoning engine - not a chatbot - using five production pillars that turn it from a confident guesser into a reliable decision-maker your entire stack can trust and act on.

Lesson 4.1 – Why Chatbots Fail at Decision-Making

02:05
Lesson 4.2 – Defining the Decision Layer: From Prompts to Decisions

03:51
Lesson 4.3 – Pillar 1: Controlled Reasoning Patterns

02:19
Lesson 4.4 – Pillar 2: Turning Decisions into Machine-Readable Actions

02:07
Lesson 4.5 – Pillar 3: Reflection & Self-Correction Loops

01:56
Lesson 4.6 – Pillar 4: Multi-Role Reasoning Systems

01:53
Lesson 4.7 – Pillar 5: Context & Memory Management

02:57
Lesson 4.8 – Building a Context-Aware AI Decision System

04:22
Lesson 4.9 – Failure Demo: When AI Decisions Go Off Track

04:20

Module 5 – Memory & Automation Infrastructure (The Nervous System)
Wire n8n and Supabase into a living operational loop that triggers on events, stores everything, routes Claude's decisions into real actions, and logs every outcome so the system learns and self-corrects over time.

Module 6 – Market Intelligence Systems (The Senses Layer)
Give your stack eyes, feet, and radar using Apify, Phantombuster, and Serper - so your system detects market signals, moves toward opportunities, and feeds live intelligence into the Brain before your competitors even notice the shift.

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Satyam

2 months ago

Agentic-AI Mastery Cohort 3.0 – From Builder to AI Operator

Course Curriculum

Module 0 – THE OPERATOR’S ORIENTATION Reset your mental model before touching a single tool - understand the real shift from automation dabbler to AI-native systems operator, and adopt the mindset, map, and rules that determine everything that follows.

Lesson 0.1 – The Real Game You’re Entering

Lesson 0.2 – The Hidden Trap That Stops Smart Builders

Lesson 0.3 – The 6-Layer AI-Native Stack

Lesson 0.4 – The Operator Rules (Non-Negotiables)

Lesson 0.5 – Preflight: Setup Before Lift-Off

Module 1 – Frontend Infrastructure & Revenue Systems Use Orchids to deploy proven, conversion-ready frontends in hours - not as pretty pages, but as revenue engines that capture intent, take payments, and trigger your entire AI stack.

Lesson 1.1 – From Static Website to Revenue Infrastructure

Lesson 1.2 – Orchids as a Time-Compression Tool

Lesson 1.3 – Live Build: Deploying a Proven Conversion Frontend

Lesson 1.4 – Failure Demo: Breaking (and Fixing) Conversion Flow

Lesson 1.5 – Fast Launch Protocol for AI Builders

Lesson 1.6 – Packaging & Selling Frontend Infrastructure

Module 2 – Brand Intelligence Systems (The Soul Layer) Turn brand strategy into a machine-readable brain using SooloAI - so every agent, email, ad, and automation speaks in one consistent, intentional voice instead of generic AI mush.

Lesson 2.1 – The Identity Layer Behind Consistent Automation

Lesson 2.2 – SooloAI: Automating Brand Strategy

Lesson 2.3 – The Core Principle: Brand Output as System Input

Lesson 2.4 – Integrating Brand Intelligence into Frontend Infrastructure

Module 3 – Execution Systems & Internal Apps (The Hands Layer) Build real internal tools, dashboards, and logic-driven apps using Emergent - moving beyond fragile automations into systems that hold state, enforce rules, and operate without you standing over them.

Lesson 3.1 – Why Automation Workflows Hit a Scaling Ceiling

Lesson 3.2 – Live Build: Deploying an Internal Operations App

Lesson 3.3 – Simplifying Overbuilt Execution Logic

Lesson 3.4 – Integrating Execution with Memory & Automation

Module 4 – Decision Intelligence Systems (The Brain Layer) Architect Claude as a structured reasoning engine - not a chatbot - using five production pillars that turn it from a confident guesser into a reliable decision-maker your entire stack can trust and act on.

Lesson 4.1 – Why Chatbots Fail at Decision-Making

Lesson 4.2 – Defining the Decision Layer: From Prompts to Decisions

Lesson 4.3 – Pillar 1: Controlled Reasoning Patterns

Lesson 4.4 – Pillar 2: Turning Decisions into Machine-Readable Actions

Lesson 4.5 – Pillar 3: Reflection & Self-Correction Loops

Lesson 4.6 – Pillar 4: Multi-Role Reasoning Systems

Lesson 4.7 – Pillar 5: Context & Memory Management

Lesson 4.8 – Building a Context-Aware AI Decision System

Lesson 4.9 – Failure Demo: When AI Decisions Go Off Track

Module 5 – Memory & Automation Infrastructure (The Nervous System) Wire n8n and Supabase into a living operational loop that triggers on events, stores everything, routes Claude's decisions into real actions, and logs every outcome so the system learns and self-corrects over time.

Lesson 5.1 – The Operational Cycle of Autonomous Systems

Lesson 5.2 – Live Build: Lead-to-Revenue Automation Loop

Lesson 5.3 – Preventing Duplicate Actions in AI Systems

Lesson 5.4 – Monetizing Memory-Driven Systems

Module 6 – Market Intelligence Systems (The Senses Layer) Give your stack eyes, feet, and radar using Apify, Phantombuster, and Serper - so your system detects market signals, moves toward opportunities, and feeds live intelligence into the Brain before your competitors even notice the shift.

Lesson 6.1 – From Reaction to Proactive Intelligence

Lesson 6.2 – Sense 1: Market Data Extraction with Apify

Lesson 6.3 – Sense 2: Triggered Outreach Systems with Phantombuster

Lesson 6.4 – Sense 3: Search Intelligence & Demand Signals

Lesson 6.5 – Converting Market Signals into Decisions

Student Ratings & Reviews

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HAUS OF INTELLIGENCE

Module 0 – THE OPERATOR’S ORIENTATION
Reset your mental model before touching a single tool - understand the real shift from automation dabbler to AI-native systems operator, and adopt the mindset, map, and rules that determine everything that follows.

Module 1 – Frontend Infrastructure & Revenue Systems
Use Orchids to deploy proven, conversion-ready frontends in hours - not as pretty pages, but as revenue engines that capture intent, take payments, and trigger your entire AI stack.

Module 2 – Brand Intelligence Systems (The Soul Layer)
Turn brand strategy into a machine-readable brain using SooloAI - so every agent, email, ad, and automation speaks in one consistent, intentional voice instead of generic AI mush.

Module 3 – Execution Systems & Internal Apps (The Hands Layer)
Build real internal tools, dashboards, and logic-driven apps using Emergent - moving beyond fragile automations into systems that hold state, enforce rules, and operate without you standing over them.

Module 4 – Decision Intelligence Systems (The Brain Layer)
Architect Claude as a structured reasoning engine - not a chatbot - using five production pillars that turn it from a confident guesser into a reliable decision-maker your entire stack can trust and act on.

Module 5 – Memory & Automation Infrastructure (The Nervous System)
Wire n8n and Supabase into a living operational loop that triggers on events, stores everything, routes Claude's decisions into real actions, and logs every outcome so the system learns and self-corrects over time.

Module 6 – Market Intelligence Systems (The Senses Layer)
Give your stack eyes, feet, and radar using Apify, Phantombuster, and Serper - so your system detects market signals, moves toward opportunities, and feeds live intelligence into the Brain before your competitors even notice the shift.