Show HN：Verdic Guard – 為生產環境 AI 提供確定性護欄
Verdic Guard 是在 Hacker News 上推出的一款新工具，旨在將 AI 在生產環境中的可靠性問題視為驗證和強制執行問題來解決。它允許用戶預先定義意圖、邊界和約束，以便在 AI 輸出到達用戶或下游系統之前進行驗證。
Models often behave well in demos and short interactions, but once they’re embedded into long, agentic, or real-world workflows, outputs can drift in subtle ways. Prompt tuning, retries, and monitoring help, but they don’t clearly define or enforce what the system is actually allowed to do.
Verdic Guard treats AI reliability as a validation and enforcement problem, not just a prompting problem. The idea is to define intent, boundaries, and constraints upfront, then validate outputs against those constraints before they reach users or downstream systems.
This is early and opinionated. I’m sharing to get feedback from people who’ve dealt with:
LLMs in long-running or agentic workflows
Production reliability vs demo behavior
Guardrails beyond prompt engineering
Project: https://www.verdic.dev
Happy to answer questions or hear critiques.
— Kundan
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