If your entire business operation—coding, client research, team workflows, and executive summaries—runs through a single AI provider like Anthropic or OpenAI, you don't have an AI strategy. You have a massive, unmanaged risk. What happens when your API access gets restricted, pricing changes, or the platform goes down during a product launch?

In this episode, we’re breaking down the exact blueprint to escape "Vendor Lock-In." You’ll learn how to build a portable, multi-model AI stack where the models are just replaceable employees, and your local project folder is the CEO.

We’ll talk about:

The $200 Illusion: Why flat-rate pricing makes you lazy about token costs, and how to stop burning premium reasoning tokens on basic admin tasks.
The "Brains vs. Bodies" Framework: How to pair the right LLM (the Brain) with the right execution environment (the Body).
Model Assignments: We'll break down the specific roles for Claude Fable (The Planner), GPT-6 Astra (The Heavy Engineer), Kimi K3 (The Second Opinion), and Qwen (The Private Local Desk).
The Routing File: How to write a simple control document that automatically delegates work to the cheapest, most efficient model without you having to lift a finger.
The 3-Model Minimum Stack: You don't need 7 models today. We’ll show you the exact minimalist setup (2 Cloud + 1 Local) to secure your workflows immediately.

Keywords: Claude Code, OpenAI, Vendor Lock-in, Multi-Model AI Stack, AI Routing, OpenRouter, Local LLMs, LM Studio, Qwen, GPT-6 Astra, Vibe Coding, AI Risk Management, Tech Stack, Automation.

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#109 Robin: Building a Multi-Model, "Portable" Agent Stack

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#109 Robin: Building a Multi-Model, "Portable" Agent Stack