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The Fizz

AI Pathfinder - Map Value, Find Opportunities, See the Solution

2026-05-0537:59

The Evolution of AI Tools and Plugins

Creative Work and AI Integration

Microsoft and OpenAI Partnership Dynamics

Introduction to AI Pathfinder

Mapping Value and Identifying Opportunities

Finding Solutions and Understanding AI's Role

Evaluating Solutions and Building with AI

The Importance of Clarity in AI Implementation

Practical Applications of AI in Business

Conclusion and Key Takeaways

The Caution of AI Implementation

The Importance of Clarity in Problem-Solving

Defining the Minimum Viable Product (MVP)

Learning from Past Experiences

The Value of a Focused V1

Commitment to Action: The 30-Day Start

Understanding Stakeholders and Accountability

Leveraging AI Capabilities for Efficiency

Final Thoughts on the Pathfinder Method

Justin and Kellan walk through the full AI Pathfinder method — a five-step process for getting clarity on where AI actually fits in your work, and where it doesn't. Plus Anthropic's new native creative plugins and a reset of the Microsoft/OpenAI partnership.

The Drip:

  • Anthropic drops a wave of native creative plugins — Ableton, Canva, Photoshop and more — moving away from open-source MCP servers toward first-party connectors
  • Microsoft and OpenAI restructure their partnership: OpenAI free to work with other cloud providers (AWS deal already announced), Microsoft free to integrate other models

Inside The Bottle:

  • The Pathfinder method: five steps to gain clarity and focus before you start building anything with AI
  • Step 1 & 2 — Map value, find opportunities: most leaders already know where the gap is, they just haven't stopped long enough to write it down
  • Step 3 — See the solution: not every problem is an AI problem. Three categories: better tools, better thinking, better autopilot
  • Step 4 — Design V1: Kellan's household app story — a cautionary tale about building features nobody uses (the only thing his wife uses is the grocery list)
  • Step 5 — Clarify a 30-day start: most good ideas die because they don't have a path forward of execution

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