AI model bans, broken agents, and single-provider risk are becoming a real problem for founders building with AI and why relying on one AI provider, one API, or one model is not a strategy, it is a single point of failure?

After the overnight Fable 5 shutdown, Mark unpacks a more practical alternative to “just go local”: building a multi-provider AI stack with a model router, private hosted models, frontier models, and local fallback options. He explains why most businesses do not need the biggest model for every task, how private AI infrastructure can protect IP, and why tools like LiteLLM are designed to route requests across providers with fallback logic.

If you are a founder, operator, or business owner building AI agents, automations, or internal workflows, this episode is a practical look at how to make your AI stack more resilient, private, and cost-effective.

0:20 — Fable 5 Disappears Overnight — The Risk No Founder Can Ignore

1:11 — The Hidden Cost of Running Frontier Models Locally

1:55 — The Model Router Strategy — Multi-Provider AI Without Fragility

2:23 — LiteLLM Explained — Routing Across OpenAI, Anthropic, Google & Private Models

2:41 — Private AI in Practice — A 10-Person Dev Team Case Study

3:24 — Fit for Purpose AI — Why Bigger Models Aren’t Always Better

3:50 — Cheaper Internal AI Workflows — Transcription, Agents & Automation

4:11 — The New AI Stack — Frontier, Private & Local Fallback

4:51 — What Mark Is Building Next — Follow the Full Setup

Follow Mark Kentwell:

Instagram: https://www.instagram.com/mark_kentwell/

TikTok: https://www.tiktok.com/@mark_kentwell

LinkedIn: https://www.linkedin.com/in/markkentwell1/

Mark’s Businesses:

Presence Real Estate: https://presence.realestate/

Nexr: https://nexr.com.au/