The AI Automation Architect

Build Enterprise-Grade AI Agents & RAG Systems without writing code.

Audience:

  • Agency Owners
  • Ops Managers
  • Marketers
  • Consultants

Tools Taught:

  • The Brain: OpenAI / Anthropic (Models)
  • The Logic: n8n or Make.com (Workflow Automation)
  • The Builder: FlowiseAI (Visual LangChain builder for Agents/RAG)
  • The Memory: Pinecone (Vector Database)

Phase 1: The Foundation (AI Mindset)

  1. Module 1: The Executive AI Stack
    • Model Strategy: When to use GPT-4o (Reasoning) vs. Claude 3.5 Sonnet (Writing) vs. Gemini (Context).
    • The Economics: Understanding API costs. How to price AI automation services to your clients ($50/mo vs $5,000 setup).
    • Data Privacy: The difference between "Training" and "Inference." How to promise clients their data is safe (Enterprise privacy standards).
  2. Module 2: Advanced System Prompting
    • Beyond Chat: Writing "Instructional Prompts" that force the AI to act like software (outputting JSON, strictly following rules).
    • Chain of Thought: Techniques to make the AI "think" before it answers to reduce errors.

Phase 2: The Brain (Visual RAG & Knowledge Bases)

  1. Module 3: Vector Databases Demystified
    • The Concept: Transforming text into numbers (Embeddings). Why this is the secret to "Private AI."
    • The Setup: Setting up a Pinecone or Qdrant database (Free Tier & Production).
  2. Module 4: Building the "Chat with Your Data" Pipeline
    • Ingestion: How to connect any data source: Google Drive, Notion, AirTable, or a Website Scraper.
    • The Flow: Visually dragging and dropping nodes in Flowise to create a "Retrieval" chain.
    • The Interface: Deploying the chatbot widget onto ANY website (WordPress, Wix, Shopify, React).

Phase 3: The Hands (Business Automation)

  1. Module 5: The "Universal Listener"
    • Webhooks: How to trigger AI from anywhere (a Typeform submission, a Stripe payment, an incoming Email).
    • Data Cleaning: Using AI to "sanitize" messy input before it hits your CRM.
  2. Module 6: Workflow A - The Lead Operations Agent
    • Scenario: An email arrives from a potential client.
    • The Build:
      1. AI reads the email body.
      2. AI extracts specific data (Budget, Timeline, Name).
      3. AI researches the lead's company website.
      4. AI drafts a hyper-personalized draft reply in Gmail (saved as draft).
  3. Module 7: Workflow B - The Content Operations Agent
    • Scenario: You record a Loom video or Voice Memo.
    • The Build:
      1. Transcribe audio (Whisper).
      2. AI generates a Blog Post (Markdown).
      3. AI generates LinkedIn Social Posts.
      4. AI generates an Executive Summary for the team Slack channel.

Phase 4: The Agency (Selling the Service)

  1. Module 8: Packaging AI as a Service (AIaaS)
    • The Offer: How to sell "Internal Knowledge Bots" for $3k-$5k setup fees.
    • The Maintenance: How to charge monthly retainers for "Prompt Maintenance" and API management.
    • Ethical Guardrails: Setting up "Moderation APIs" so the client's bot doesn't say offensive things.
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