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Why Multi-Agent Workflows Break in Production (And How to Build Predictable Loops)

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Why Multi-Agent Workflows Break in Production (And How to Build Predictable Loops) Most multi-agent demos fail the moment you put them in front of real production traffic. They look impressive in five-minute screencasts: an orchestrator agent receives a user prompt, sketches a plan, delegates sub-tasks to three specialized agents, and returns a tidy response. When you deploy that architecture into production, reality hits quickly: An upstream API returns an unexpected 429 Too Many Requests , and the planning agent assumes the endpoint no longer exists. A research agent writes an 8,000-token summary of an API response into shared history, diluting system prompt instructions for subsequent steps. Two agents enter an agreeable loop where Agent A asks Agent B for clarification, Agent B reframes the question, and both report that progress is underway while burning through token budgets. These failures do not stem from bad prompt engineering or weak base models. They stem from a f...

Why AI Writing Sounds Fake (And How to Fix It With the writ Skill)

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Why AI Writing Sounds Fake (And How to Fix It With the writ Skill) You can spot AI-generated prose within three sentences. It rarely stems from grammatical errors. Large language models understand syntax and subject-verb agreement better than most human writers. The tell is subtler: an unearned earnestness, a predictable rhythm, and an insistence on explaining why everything it mentions is historic, essential, or transformative. When readers encounter this tone, they stop reading. Search engines downrank it. Communities reject it. Over the past two years, Wikipedia editors cataloged thousands of AI-generated article submissions to isolate exactly what gives synthetic prose away. They compiled their findings into a guide called Signs of AI Writing . To turn those observations into an automated, actionable workflow for developers and writers, I built writ —an open-source AI self-audit skill that systematically strips synthetic habits out of machine drafts. Here is an analysis of ...