EPISODE 8 • PROCESS OF ELIMINATION

Stop Wasting Time on Prompt Templates That Don't Work

Learn the 4-Part Paired Prompting System That Turns AI Into Your Strategic Partner, Not Just a Command-Taker

Sound Familiar?

🤖 Generic AI Outputs

Your AI sounds like everyone else's: flat, neutral, and lacking your strategic edge.

🧠 AI Hallucinations

Without proper context, your AI makes up "facts" and gives you confidently wrong answers.

📋 Template Dependency

You're stuck with fill-in-the-blank prompts that don't think. They just execute.


Why AI Partnership Beats Prompt Templates Every Time

WATCH

POE S1E08:
Prompt Engineering is Dead

Ryan Edwards, Co-Founder of Camino5, and host Justin L. Brown reveal why strategic AI partnership beats prompt templates every time.

The Paired Prompting System

Stop commanding AI. Start partnering with it. This isn't faster prompting. It's smarter thinking.

  • 1. Context Phase

    Build the Brain. Load definitions, frameworks, data, and constraints so AI has real knowledge to work with.

  • 2. Research Phase

    Explore, Don't Execute. Ask questions, test assumptions, and uncover what you didn't know to ask.

  • 3. Argument Phase

    🔒 Watch Episode 8 to see how strategic teams use friction to sharpen thinking.

  • 4. Conclusion Phase

    🔒 See the complete co-creation process that produces strategic outputs with personality.

    Complete methodology revealed at 8:32 in the episode → WATCH NOW

Ready to Implement This With Your Team?

Join strategic leaders in our free 60-minute workshop where we'll show you exactly how to build this system for your organization.

What You’ll Learn:

  • Master the complete Paired Prompting methodology (Context → Research → Argument → Conclusion)

  • See live examples of AI partnerships that produce strategic insights

  • Learn how to eliminate hallucinations and generic outputs

  • Get exclusive "Paired Prompting" worksheet and templates

Best for:

Strategic leads in marketing, ops, creative, or product who are driving AI adoption inside modern organizations.

Reserve Your Spot

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Process Of Elimination Episodes

  • S1E1: Your SOP Is Broken and AI Is About to Prove It

    In this first episode of Process of Elimination (POE), Ryan Edwards, Co-founder of Camino5, and Justin L. Brown unpack the real reason AI rollouts fail inside teams

    ▶ Watch Ep. 1

  • S1E2: Why AI Should Make You Dangerous

    Unpack why the true advantage of AI isn’t speed, but what you do with the time and insights it creates.

    ▶ Watch Ep. 2

  • S1E3: Why Smart Teams Audit During, Not After #AI

    The most overlooked AI move is the audit. Not flowcharts or jargon. Just simple check-ins that sharpen your system.

    ▶ Watch Ep. 3

  • S1E4: How to Preserve Brand Voice While Scaling with AI

    The hidden risk in AI content workflows? Brand voice drift. It starts small, but over time your message can lose its edge and feel replaceable.

    ▶ Watch Ep. 4

  • S1E5: Are You Automating the Wrong Things?

    Automation can save you time — but only if your system actually works. Otherwise, you’re scaling chaos.

    ▶ Watch Ep. 5

  • S1E6: Before You Build an AI Agent, Ask This: Is Your Workflow Ready?

    Most companies are trying to plug AI into outdated SOPs and calling it innovation. But true AI agents aren’t just smarter tools, they are potential teammates. The real question isn’t can you build one, it’s should you?

    ▶ Watch Ep. 6

  • S1E7: The Culture Factor: Leading Teams Through the AI Shift Without Losing Trust

    Most AI rollouts fail not because the tools are broken, because the culture is. If your team doesn’t trust the strategy (or trust you to lead it), adoption stops cold.

    ▶ Watch Ep. 7

  • S1E8: Prompt Engineering Is Dead: Why You’re Asking AI the Wrong Questions

    Prompt templates. Libraries. Swipe files. They’re everywhere. But do they actually work?

    ▶ Watch Ep. 8

Guides & Tools

Episode Glossary

  • The initial popular approach to interacting with AI by crafting specific keywords, phrases, or bullet points to elicit desired responses. The source argues it is a "distraction" or "dead" as a standalone, effective skill.

  • User-defined AI models or specialized instances of a larger AI, built with specific instructions, knowledge bases, and contexts. Designed to provide consistent and tailored results for particular tasks or workflows.

  • The "real power skill" for AI interaction, emphasizing providing strict context, constraints, and calibration to guide the AI for reliable and repeatable results.

  • The foundational first step in the framing stack. It involves setting the goals, descriptions, and boundaries for the AI's operation, ensuring it "stays within the yard" and produces relevant outputs.

Episode FAQ

  • The sources argue that prompt engineering, while accessible and an easy entry point to AI, often leads to "erratic results" and a lack of reliability. This is because generative AI models like ChatGPT create a "new answer every time," and their responses are heavily influenced by the user's specific context and their own "training" of the AI over time. Relying solely on prompts without a structured framework makes it difficult to get consistent, repeatable, and shareable results, which is crucial for business and collaborative environments.

  • Context is considered "king" and the first step in the framing stack. It provides the AI with the necessary background information, goals, descriptions of products, audiences, and overall environment within which it should operate. Without proper context, AI acts like a "golden retriever that's chasing every squirrel," leading to inconsistent and unreliable results across different users and situations. It allows for repeatability and collaboration by ensuring everyone is "working in the same ballpark."

  • The "real power skill" is "framing." This involves a three-part "framing stack": Context, Constraint, and Calibration. Instead of focusing on individual prompt keywords or formats, the emphasis shifts to establishing a clear environment and rules for the AI to operate within, ensuring more reliable and consistent outputs.

  • A Custom GPT is a personalized AI environment that has been "trained" with specific information, context, and constraints. For tasks that will be used "over and over again," especially in a business or collaborative setting, creating a Custom GPT is highly recommended. It ensures consistent results across different users, helps maintain the desired format and context, and can even be trained to adopt specific conversational styles, unlike relying on open AI instances where each user's interaction trains the AI differently.