When Copy.ai API returned “Invalid JSON response” on large batch requests and the pre-validation JSON cleanup that prevented failures
In the fast-evolving world of AI-enabled productivity tools, integrating third-party APIs at scale often reveals subtle yet critical roadblocks that can interrupt workflows and affect reliability. One such scenario occurred during the integration of the Copy.ai API for a content generation pipeline, where large batch requests repeatedly failed with the cryptic error: “Invalid JSON response.” While the issue appeared opaque at first, digging into the root cause exposed vital lessons in input normalization, payload structure, and server-side constraints. This article explores the debugging journey, the implementation of a pre-validation JSON cleanup process, and how these improvements can help teams avoid similar pitfalls in high-volume API interactions.
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