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TypeSafe's Jev: Independent Benchmark Against LLMs (with code)

I built an independent benchmark to test TypeSafe's Jev model against GPT-4, Claude, and Gemini on classification tasks. Jev is a different kind of model — instead of generating text, it outputs probabilities for given answer choices. This makes it particularly interesting for: Intent routing in AI agents Guardrails and safety checks Low-latency classification pipelines The benchmark covers spam…

We haven't written up this one. Dev.to has the full story — the link below goes straight to it.

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The Last Mile Problem in Agentic Development

Agents have made the first 80% of building software fast. Point enough of them at a well-defined problem, and you get working code, passing tests, and a system that looks almost done, sometimes in…

  • Last mile in agentic development represents final 10-20% of process
  • Building software fast faces challenge of making it 100% complete
  • Bottleneck lies in completing work, not building, for large codebases

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