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reality-check-ai-agent

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ai-agents-reality-check

Cre4T3Tiv3 / ai-agents-reality-check

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Mathematical benchmarking framework for AI agent architectures. Statistical validation (95% confidence intervals, Cohen's h effect sizes), stress testing, network resilience, ensemble coordination, and failure analysis. Rigorous evaluation is not downstream of engineering. It is the engineering most practitioners skip.

python open-source benchmarking reproducible-research statistical-analysis performance-testing network-resilience llm-agent llm-tools agent-architecture agentic-workflow agentic-ai agent-performance agent-evaluation ai-benchmarking agent-benchmark reality-check-ai-agent architectural-evaluation ensemble-coordination
  • Updated Aug 8, 2025
  • Python

MohamedEmad219 / ai-agents-reality-check

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🤖 Benchmark AI agent capabilities, bridging the gap between hype and reality with clear metrics and insights for informed development decisions.

python open-source benchmarking reproducible-research statistical-analysis performance-testing network-resilience llm-agent llm-tools agent-architecture agentic-ai agent-performance agent-evaluation ai-benchmarking agent-benchmark reality-check-ai-agent architectural-evaluation ensemble-coordination
  • Updated Mar 22, 2026
  • Python

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