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Observability & Evals
Passing Evals Aren't a Quality Signal
A high eval pass rate tells you your test set is easy, not that your system is working. A practitioner argument for adversarial evaluation, done right
Siv Souvam
8 Min Read◆April, 22 2026
Latest articles
Explore practical routing guides, API performance notes, and product updates from the Fastrouter team.
A high eval pass rate tells you your test set is easy, not that your system is working. A practitioner argument for adversarial evaluation, done right
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There's a meaningful gap between what demo environments show and what production deployments actually handle when they're designed thoughtfully.
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How intelligent model routing works, what FastRouter’s auto mode actually does under the hood, and how to connect it in 10 minutes.
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In this part, we focus on what changed — the shift in how AI systems are used, and why the economics behind them are breaking.
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Why intelligent LLM routing — specifically using FastRouter with OpenClaw — is the most practical answer to that problem, and how to set it up.
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How One Team Built an AI Assistant That Actually Knows Their Product — Without Writing Integrations
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There's something deeply ironic about what happened to LiteLLM on March 24. LiteLLM is, by design, a credential proxy.
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Run a free LLM audit on real traffic. Find cheaper models, reduce costs, and optimize performance without sacrificing quality.
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Monitor latency, token usage, errors, and spend in AI systems. Learn why enterprise AI needs intelligent observability to detect silent failures.
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How to Compare LLM Models for Production: Side-by-Side Testing With Real Cost Data FastRouter Blog
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When you deploy an AI-powered application, you're not just shipping a feature—you're establishing trust.
Claude Code is revolutionizing developer workflows. Will you let it run wild with scattered API keys and surprise costs, or turn it into a governed, enterprise-grade powerhouse?