vendor-lock-in

Coverage of the risks that come from binding your stack to a single AI provider's APIs, pricing, and proprietary model weights. Practitioners will find analysis of switching costs, the trade-offs between closed frontier APIs and open weight models you can self-host, and strategies for staying portable across vendors. Expect practical guidance on abstraction layers, data ownership, and exit planning so a provider's roadmap or price hike does not dictate yours.

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