Five Questions to Ask Before Building on a Free AI Platform Trial

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Engineering teams often integrate free AI platform tiers into their workflows without fully understanding the trade-offs, only to face compliance and reliability issues later. A decision framework built around five key questions helps teams evaluate whether to use a managed free-tier AI platform or self-host their own stack. The five areas of scrutiny are data boundaries, latency tolerance, load patterns, operational responsibilities, and exit costs. Each gate requires evidence-based answers rather than assumptions, with particular emphasis on testing vendor lock-in risks from day one. The framework uses MonkeyCode, an open-source AI development platform with a free server option and a 10 million token allowance, as a worked example.

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