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Why Every AI Team Needs Automated Evaluation (Future AGI SDK Overview)

AI models are getting stronger, but their behavior is getting harder to predict.

Manual testing isn’t enough — especially when you’re shipping agents, RAG systems, or function-calling pipelines.

Future AGI introduces an automated evaluation layer designed for production teams.

You can test hallucinations, JSON validity, safety, prompt injection, tone, and contextual accuracy — all with one SDK.

What it solves

  • Unpredictable outputs
  • Broken JSON/function calls
  • Hallucinated RAG responses
  • Unsafe answers
  • CI/CD model regression

Why teams like it

  • ⚡ Instant evaluations
  • 📊 60+ ready-made templates
  • 🔍 Error explanations built-in
  • 🔐 Safety & compliance checks
  • 🤝 Works with LangChain, Langfuse, TraceAI

It brings reliability to AI workflows the same way unit tests transformed software engineering.

🔗 GitHub: https://github.com/future-agi/ai-evaluation

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