One-command setup that makes Claude Code use fewer tokens: rtk shell compression, stash search index, web-search, codebase-memory, fast-jev-compaction, ponytail, plus Jev skill suggestions and model routing.
Search & discovery — page 4
Search front ends, indexes and recommenders that use Jev to rank or filter results.
157 active projects match this task, ordered by traction.
Grep-shaped semantic search for files and records, with a shared programmable query core
Production reranker benchmark: TypeSafe Jev vs Qwen3-Reranker-0.6B on BEIR SciFact and NFCorpus — nDCG@10, cost/query and p50/p95 latency. Quality is indistinguishable; Jev is ~2x faster, Qwen ~4x cheaper. From the team at denser.ai
Can Jev replace an LLM reranker? A benchmark of TypeSafe's Jev vs Claude Haiku and BGE on natural-language search over all 6,245 YC companies, with a live search demo.
Agent Skill and Python workflow for Clay lead scoring, B2B prospect qualification, and people-search ranking with TypeSafe JEV.
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Jev picks, you watch. A hybrid movie recommender: fast semantic + keyword search narrows 4,800 films to a shortlist, then TypeSafe Jev reads your constraints and picks the one film that fits - with a confidence score that decides whether to answer instantly or ask a follow-up.
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PostgreSQL-compatible query language powered by TypeSafe Jev System One models
An autonomous risk-monitoring MCP server. Define a risk profile — a topic, the geographic locations to watch, and the policy triggers that matter — and the server runs an agentic sweep: live web search scoped by a judgment model (Jev), source scoring, and a Markdown briefing you can read from any MCP client.
Find the LLM calls you should move to JEV — scan logs & code for decision-shaped calls, price the migration, calibrate decision models, generate the migration PR. Zero deps, fully local.
Add as much tabular data as you want to Jev models using adaptive ensembles that learn to query only the rows and columns needed.
A community directory of open-source projects built on Jev, TypeSafe AI's System One model. Live index: jevusers.com
Find where TypeSafe Jev fits your real workflows. An evidence-based audit skill for Claude Code, Codex, and compatible agents.
An empirical experiment fusing TypeSafe AI's non-autoregressive Jev model (System 1) with a high-performance 0x88 alpha-beta search engine (System 2). Includes live Chrome extension tracking, trust window fusion, and real-time telemetry, capable of defeating 1825 ELO bots.
Use Jev to quickly search your old hard drives and identify anything of value.
Give any MCP-capable LLM harness an on-demand real-browser search tool (TypeSafe Jev) with per-run timing and cost tracking.
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Instant semantic code search: local ripgrep shortlist, meaning-ranked by TypeSafe Jev via OpenRouter.
Recursive semantic file search using TypeSafe Jev and fzf
Find the AI agent runs that broke because their environment did: missing keys, tools, files, permissions, network, or context. Powered by TypeSafe Jev.
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System One Search: navigate and trace code with TypeSafe judgments and repository evidence
A test project based on Jev AI, the goal is to build a search function for a blog/article website that has 100s of articles to search from, So the user can actually use the search as chat to question anything and find related answers/articles
InsightsMastery Academy — premium static learning site for Power BI, DAX, Power Query and SQL Server handbooks. Auto-publishes any HTML note or PDF dropped into the repo.
Your story is unique. AI helps you tell it — it doesn't replace it. Grounded job-application agent: cited drafts, clarify-first positioning, voice learning. Live: find-a-job-572064776552.us-west1.run.app
Automate Perplexity AI search via browser control — search, extract, batch, verify, and manage history.
Monorepo of pi extensions: Z.AI web search / vision / ZRead MCP bridges, provider quota footers, and UX tweaks.