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Walter MCP vs. Traditional AI Humanizer Workflows: Why Developers Are Switching
If you've integrated a third-party AI API into a content pipeline before, you already know the pattern. Auth headers. Rate limit handling. A conditional branch to decide whether to call a second endpoint based on the first response. Retry logic for the inevitable timeout. None of that is hard, individually, but it adds up to real code you own, test, and maintain indefinitely, for a task that's conceptually simple: check this text, fix it if it needs fixing.
MCP changes where that logic lives....
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