Your AI provider can change. Your product needs to keep working.
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Your AI provider can change. Your product needs to keep working. A model is retired. Pricing changes. An endpoint becomes unavailable. Engineering teams need a plan for what happens next. In “Bubble-Proof AI”, Maximiliano Allende, Frontend Developer & AI Engineer at Brickken, outlines a practical approach: make models replaceable, keep a tested fallback for suitable tasks, control where sensitive data goes, and verify outputs through testing and expert review. For teams building tokenization infrastructure, those choices matter. Investor information and smart contract workflows need safegu
Posted by Brickken (76k followers) 1 days ago · 72 likes · 1.8k views · view the original post on X. Kept by the Dev Radar as AI dev tools.
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