---
title: "Agents"
module: "general"
type: lesson
order: 0
draft: false
---

Okay, striving for the **simplest possible implementation** while still leveraging the framework's structure and aiming for a comprehensive output suggests using **chained prompts** within a single session with a powerful LLM (like ChatGPT-4, Claude 3, or Gemini Advanced).

This approach avoids building complex software or separate agents but relies heavily on sophisticated prompt engineering and the LLM's ability to maintain context across a long conversation.

Here’s a conceptual breakdown of the simplest "One-Shot" system using chained prompts:

**Concept: The "Elevate AI Accelerator" Single Session Prompt Chain**

**Goal:** User provides initial Foundation data (Customer, Company, Market context), and the LLM, guided by a master prompt chain, generates draft assets for all 9 steps sequentially within one continuous conversation.

**Prerequisites for the User:**

1. **Pre-filled Foundation Worksheet:** User needs their Customer Avatar info, Company Context details, and basic Market notes prepared (as per the Foundation Grid).
    
2. **Access to a Capable LLM:** Needs an LLM that handles long context windows well.
    

**The Master Prompt Chain Structure:**

This isn't one single prompt, but a series of prompts fed sequentially by the user into the same chat session, building upon the previous outputs and maintaining context. The course ("Playbook") would provide these sequenced prompts.

**(Start of Chat Session)**

**User Input Prompt 1: Foundation Injection**

      `SETUP: Activate "Ecom Growth System Mode". You are an expert AI assistant powered by the 9-Step Elevate Ecommerce Framework (Hook, Gift, Identify; Nurture, Sell, Engage; Upsell, Understand, Share). Your goal is to help me generate core marketing assets for my e-commerce business by following this framework sequentially.  Strictly maintain context from my inputs and your previous outputs throughout this entire session. Acknowledge understanding of this setup.  Now, absorb the following FOUNDATION context for my business:  ## MY CUSTOMER AVATAR ('Sam Store'): *   Core Pains: [User pastes 3-5 key pains, e.g., "Low Conversions (<2%)", "High Abandoned Carts (70%+)", "Wasted Ad Spend", "Not Enough Time"] *   Core Desires/Goals: [User pastes 3-5 key goals, e.g., "Predictable Sales Growth ($10k+/mo)", "Higher Conversion Rate (>3%)", "More Free Time", "Peace of Mind"] *   Key Beliefs/Values: [User pastes 1-2 key beliefs, e.g., "Values systems", "Wants efficient growth"] *   Demographics/Other Notes: [User pastes key demos/notes, e.g., "Selling handmade furniture DTC, Shopify, Target audience appreciates quality & craft"]  ## MY COMPANY CONTEXT ('ONE' providing this example): *   Core Product/Offer: [User pastes offer, e.g., "The AI Prompt Playbook for Ecom Growth - $999 Course"] *   Unique Mechanism: [User pastes mechanism, e.g., "Elevate Framework + Tested AI Prompts for LLMs"] *   Brand Voice: [User pastes voice, e.g., "Authoritative, Direct, Benefit-Driven, Focused on Speed/Results"] *   Market Positioning: [User pastes positioning, e.g., "Premium solution for established owners seeking systematic AI leverage"]  ## MARKET AWARENESS (Brief): *   Key Competitor Weakness: [User pastes weakness, e.g., "Competitors offer random prompts or lack a full framework"] *   Relevant Market Trend: [User pastes trend, e.g., "Many owners see AI potential but struggle with systematic application"]  Confirm you have absorbed this Foundation context and are ready to proceed step-by-step through the Elevate Framework, starting with Step 1: HOOK. Do not generate any assets yet, just confirm understanding.`
    

**(LLM Confirmation)**

**User Input Prompt 2: Step 1 - HOOK Generation**

      `PROCEED TO STEP 1: HOOK. Objective: Capture Ideal Customer Attention & Define Strategic Angle.  Using the FOUNDATION context provided, generate the following outputs specifically for the HOOK step: 1.  **Top 3 Pain-Focused Headlines** for Facebook Ads. 2.  **Top 3 Benefit-Focused Headlines** for Facebook Ads. 3.  **Top 2 Intrigue/Disruption Hooks** (Headline or Ad Opener). 4.  **Core Offer Angle Summary** (1 sentence describing the primary message leading towards the Gift Concept, based on the hooks). 5.  **Suggested Primary Channel(s)** based on Foundation context.  Format outputs clearly under numbered headings for this step.`
    

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**(LLM Generates HOOK Assets)**

**User Input Prompt 3: Step 2 - GIFT Generation**

      `PROCEED TO STEP 2: GIFT. Objective: Deliver Value & Capture Interest. Assumed GIFT Concept (Derived from HOOK Angle): [User briefly states derived Gift Concept, e.g., "AI Prompt Checklist for Fixing Abandoned Carts"]  Using the FOUNDATION context AND the outputs from STEP 1 (HOOK), generate: 1.  **3 Benefit Bullets** for the GIFT Landing Page. 2.  **Draft Landing Page Headline** for the GIFT. 3.  **Draft Ad Body Copy (Act 2)** - approx 50-75 words presenting the GIFT, connecting logically from a chosen HOOK (User specifies which hook or lets AI choose). 4.  **Draft Welcome/Delivery Email Subject Line** for delivering the GIFT.  Format outputs clearly under numbered headings for this step.`
    

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**(LLM Generates GIFT Assets)**

**User Input Prompt 4: Step 3 - IDENTIFY Generation**

      `PROCEED TO STEP 3: IDENTIFY. Objective: Convert Interest into Known Leads.  Using the FOUNDATION context and acknowledging the GIFT offer, generate: 1.  **2 Variations for the "Ask" Copy** on the GIFT landing page/form (requesting email). 2.  **Brief Draft Welcome Email Body Copy** (approx 50 words) delivering the GIFT download link/access.  Format outputs clearly under numbered headings for this step.`
    

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**(LLM Generates IDENTIFY Assets)**

**...Continue this Pattern for Steps 4-9...**

**User Input Prompt 5: Step 4 - NURTURE Generation**

      `PROCEED TO STEP 4: NURTURE. Objective: Build Trust & Guide the Journey.  Using FOUNDATION context & acknowledging lead source (from GIFT), generate: 1.  **Outline/Angle for a 3-Email Nurture Sequence** (Value focus). 2.  **Draft Subject Line + Opening Line for Email 1** (Value). 3.  **Draft Retargeting Ad Headline & Core Copy Snippet** (for Gift downloaders, non-buyers).  Format outputs clearly.`
    

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**(LLM Generates NURTURE Assets)**

**User Input Prompt 6: Step 5 - SELL Generation**

      `PROCEED TO STEP 5: SELL. Objective: Optimize the Conversion Point.  Using FOUNDATION context (esp. Core Offer, Avatar Desires/Objections), generate: 1.  **Draft Sales Page Headline** for the Core Offer. 2.  **3 Key Benefit Bullet Points** for the Sales Page. 3.  **Draft Product Description Snippet** (highlighting Unique Mechanism).  Format outputs clearly.`
    

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**(LLM Generates SELL Assets)**

**...And so on for Engage, Upsell, Understand, Share...**

**User Input Prompt (Final): Session Summary Request**

      `SESSION COMPLETE. Please provide a concise summary list of all generated asset categories (e.g., HOOK Headlines, GIFT Landing Page Copy, NURTURE Email Outline, etc.) created during this Elevate Framework session.`
    

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**(LLM Provides Summary)**

**Simplicity & Limitations:**

- **Simple User Action:** User primarily provides detailed initial input and then sequentially pastes the provided course prompts.
    
- **Relies HEAVILY on LLM Context:** The quality depends entirely on the LLM's ability to retain and correctly reference the Foundation data and previous step outputs throughout the long conversation. Context windows can still be a limitation.
    
- **Output is Draft Only:** All generated text requires careful human review, editing, and refinement.
    
- **No Real Automation/Integration:** User must manually copy/paste outputs into their actual tools (ESP, Ads Manager, Website).
    
- **Error Prone:** If the LLM loses context mid-way, subsequent steps will be flawed. Users might need to periodically remind the LLM of key context points within prompts.
    
- **Less Flexible:** Less adaptable to nuanced situations or feedback loops than interactive software or human coaching.
    

**Conclusion:**

This "Single Session Prompt Chain" is likely the simplest possible implementation leveraging the ontology's structure without building dedicated software. It transforms the Playbook into a guided, sequential generation process within a single chat interface. Its success hinges entirely on the power of the chosen LLM and the quality/clarity of the prompts and initial Foundation input. It's a powerful starting point, delivering significant value by generating a comprehensive set of initial marketing asset drafts quickly.