Meridian | AI context-intake and contraction risk & compliance micro-app with live TypeSafe AI vs OpenAI evaluation
Research and benchmarks — page 22
Benchmarks, papers and independent reproductions. Read these when you need to understand behaviour rather than adopt a library.
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Discord bot that evaluates message like chess
Benchmark for Pi skill routing: BM25 vs TypeSafe Jev across roster sizes 50–500
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No project description available.
No project description available.
TypeSafe System One (Jev) evaluated on synthetic FHIR clinical scenarios, with Claude as System Two
A visual control room for typed AI evaluations, structured decision-making, and confidence-aware policy gating using Vercel AI SDK and TypeSafe Jev.
Early-access test of TypeSafe's Jev on 24 Norwegian hearing responses, next to DeepSeek V4.1 Flash
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Claude Code skill: swap System 2 LLM pipeline components for System 1 TypeSafe Jev decisions via investigation, live three-arm eval, fallback, and an independent judge
Evaluating TypeSafe's Jev on Michael Mauboussin's 50-question decision calibration test
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Krino (κρίνω) — probing, analysis, and replication toolkit for JEV-class decision models
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High-concurrency Elixir actor runtime for large-scale semantic graphs, search swarms, and batched model evaluation.
Synthetic smoking-history extraction benchmark comparing TypeSafe Jev and OpenAI structured outputs, with reproducible accuracy, cost, and latency results.
Automation Anywhere custom package wrapping the TypeSafe (Jev) API for typed yes/no, categorical, and scored-scale text evaluation.
Extensible action gates and decision routing for AI agents, with paired cost and reliability evaluations.
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No project description available.
A tug-of-war over one shared actuator — you and TypeSafe's Jev push the same CartPole and the forces add. Physics verified against Gymnasium, with fair-baseline benchmarks and token accounting.
Sandbox & benchmark: optimize how you ask Jev (TypeSafe System One) to play falling-block puzzle games, head-to-head against LLMs
Checking JEV's Contradiction detection (Model by TypeSafe.AI)
Local, single-user job-posting evaluator: typed semantic signals plus a deterministic scorer produce explainable 0-100 fit scores, with every claim traced to a line of the posting.
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Conversational agent workspace with guided onboarding, voice, evaluations and monitoring.
Portable benchmark for LLM tier routing, factual-claim verification, and safe interim messages
Smoke test: route prompts to a work or life database with TypeSafe AI (Jev), 30-case eval
Synthetic TypeSafe offload benchmark: quality, tokens, latency, dated evidence, and a portable Codex skill.