Skip to content
JJev AtlasField notes
Start hereBuild ideasFit checkClaimsFor agents
More
Ask wellCostProjectsPatternsIdeasEvidenceLibrary
Search⌘K

J Jev Atlas / Independent research

431 posts · 9 claims · 31 hypotheses

Back to top ↑

An independent, evidence-checked field guide to Jev

What can you actually build with Jev?

Jev is a fast model that answers narrow, typed questions for your code. This atlas maps what it is, what is proven, and 31 things you could build.

See what to build →Jev in 60 secondsWill it help my workflow?Connect your agent →
JevYour app’s stateChoiceScoreNoul01

Jev in one picture

Your code asks a narrow question about whatever state it has. Jev answers in one of three typed shapes.

  • Which queue?billing0.07outage0.81sales0.04other0.08

    Choice

    Picks one option from a list you define, with a probability for each.

  • How urgent?05107.4

    Score

    Places something on an ordered scale you define.

  • Is this spam?your thresholdnoyes0.93

    Noul

    Gives the probability that a yes-or-no statement is true.

Example questions and values, drawn to show the shape of each answer. They are not measurements.

The whole atlas on one map

93 records, sorted by the question you came with. Follow a branch to the page behind it.

Open a circle to unfold a branch. Every label is a link.

Jev AtlasWhat Jev isNot an LLMState in, typed questions outThree question typesChoiceScoreNoulMany questions in parallelAsk Jev wellResearch library8What's proven9Demonstrated3Plausible3Speculative1Vendor Claim2Source Evidence20What people built18Observed17Authored Hypothesis1What you could build31High-volume semantic classification2Real-time product decisions4Routing and triage5Verification and guardrails4Ranking and scoring3Event-driven automation4Agent tool gating5Semantic features for conventional software2Repeated judgment over large datasets2Will it fit my workflow?Check a workflowArchitecture patterns6What the decisions costFor your agentConnect over MCPllms.txtJSON manifest93
  • Jev Atlas
    • What Jev is
      • Open the page
      • Not an LLM
      • State in, typed questions out
      • Three question types
        • Open the page
        • Choice
        • Score
        • Noul
      • Many questions in parallel
      • Ask Jev well
      • Research library8
    • What's proven9
      • Open the page
      • Demonstrated3
        • Open the page
        • Developers have published small Jev integrations and demonstrations.Demonstrated
        • Jev exposes constrained decision primitives for Boolean probability, choice distributions, and ordered scores.Demonstrated
        • Typed output removes free-form parsing but does not make wrong decisions impossible.Demonstrated
      • Plausible3
        • Open the page
        • Headline benchmark and reliability claims remain insufficiently independently verified.Plausible
        • Routing, classification, verification, and workflow control are the dominant early mental models.Plausible
        • The strongest near-term architecture is Jev as a complement and control layer around generative models.Plausible
      • Speculative1
        • Open the page
        • Cheap decision calls could make tens or hundreds of semantic judgments per event economical.Speculative
      • Vendor Claim2
        • Open the page
        • TypeSafe reports a low input-token price and no metered output-token charge for Jev.Vendor Claim
        • TypeSafe reports Jev as materially faster than LLM workflows on its own evaluations.Vendor Claim
      • Source Evidence20
    • What people built18
      • Open the page
      • Observed17
        • Open the page
        • 1k PapersObserved
        • Axon Work integrationObserved
        • chess-jevObserved
        • Goblin HRObserved
        • HA-JevObserved
        • Inbox triage demoObserved
        • is-odd-jevObserved
        • J3vRouteObserved
        • Jev PlaygroundObserved
        • jev-routerObserved
        • jev-ultrafastObserved
        • MAGI System on JevObserved
        • ProgressGateObserved
        • SemIf (formerly OpenJev)Observed
        • system-one-routerObserved
        • TypeSafe Agent SkillsObserved
        • typesafe-mcpObserved
      • Authored Hypothesis1
        • Open the page
        • Confidence-gated agent control loopsAuthored Hypothesis
    • What you could build31
      • Open the page
      • High-volume semantic classification2
        • Open the page
        • Local Activity Auto-TimelineAuthored Hypothesis
        • Privacy-Preserving Screen Event FilterAuthored Hypothesis
      • Real-time product decisions4
        • Open the page
        • Adaptive Game NPC DirectorAuthored Hypothesis
        • Continuous Form Friction ControllerAuthored Hypothesis
        • Notification Interruptibility EngineAuthored Hypothesis
        • Semantic Feature-Flag AllocatorAuthored Hypothesis
      • Routing and triage5
        • Open the page
        • Agent Model RouterAuthored Hypothesis
        • CI Review TriageAuthored Hypothesis
        • Inbox Micro-RouterAuthored Hypothesis
        • Meeting Participation RouterAuthored Hypothesis
        • Support Action GateAuthored Hypothesis
      • Verification and guardrails4
        • Open the page
        • Calendar Commitment GuardAuthored Hypothesis
        • Decision Regression HarnessAuthored Hypothesis
        • Dependency Update GateAuthored Hypothesis
        • LLM Output Escalation MeshAuthored Hypothesis
      • Ranking and scoring3
        • Open the page
        • Adaptive Observability SamplerAuthored Hypothesis
        • API Abuse Shape DetectorAuthored Hypothesis
        • Autonomous QA Scenario SelectorAuthored Hypothesis
      • Event-driven automation4
        • Open the page
        • Home Automation Intent LayerAuthored Hypothesis
        • Semantic Background-Task SchedulerAuthored Hypothesis
        • Smart Retry PolicyAuthored Hypothesis
        • Webhook Decision BusAuthored Hypothesis
      • Agent tool gating5
        • Open the page
        • Agent Loop StopperAuthored Hypothesis
        • Agent Tool FirewallAuthored Hypothesis
        • Context Window Admission ControllerAuthored Hypothesis
        • MCP Capability RouterAuthored Hypothesis
        • Multi-Agent Vote CalibratorAuthored Hypothesis
      • Semantic features for conventional software2
        • Open the page
        • Micro-Approval SDKAuthored Hypothesis
        • Probabilistic Rules EngineAuthored Hypothesis
      • Repeated judgment over large datasets2
        • Open the page
        • Data Pipeline Quarantine RouterAuthored Hypothesis
        • Personal File Attention IndexAuthored Hypothesis
    • Will it fit my workflow?
      • Open the page
      • Check a workflow
      • Architecture patterns6
      • What the decisions cost
    • For your agent
      • Open the page
      • Connect over MCP
      • llms.txt
      • JSON manifest93

Nine lenses · what a workload needs before Jev fits

Open the opportunity map →
  • 01High-volume semantic classification2 blueprints
  • 02Real-time product decisions4 blueprints
  • 03Routing and triage5 blueprints
  • 04Verification and guardrails4 blueprints
  • 05Ranking and scoring3 blueprints
  • 06Event-driven automation4 blueprints
  • 07Agent tool gating5 blueprints
  • 08Semantic features for conventional software2 blueprints
  • 09Repeated judgment over large datasets2 blueprints

Will Jev fit your workflow?

Describe it in a sentence or two. The fit check names the decisions Jev could take, and the parts that should stay ordinary code.

Check a workflow →

Don’t make your agent guess about Jev.

The records behind this site, with their evidence status and sources, over one public read-only MCP endpoint.

See the full agent interface →
  • assess_jev_fitIs this workload a bounded semantic decision, and where does it stop?
  • get_build_blueprintAn authored opportunity with its architecture, MVP, and unknowns.
  • trace_jev_claimA claim's evidence status, counterarguments, and sources.
Remote MCP configuration
{
  "mcpServers": {
    "jev-atlas": {
      "url": "https://YOUR-DOMAIN/mcp"
    }
  }
}
Endpointhttps://YOUR-DOMAIN/mcp

Client configuration formats vary. Use this endpoint anywhere your agent accepts a remote Streamable HTTP MCP server.

431
posts collected
155
kept as sources
9
claims tracked
31
build blueprints
$0.00
estimated collection cost

A launch-period, English-only sample. A claim’s status is recorded per claim and never upgraded by repetition.

Read the full report →

Find a thread

Search across every research layer.

Claims, projects, product ideas, source posts, and long-form synthesis are indexed together.

⌘K
ClaimJev exposes constrained decision primitives for Boolean probability, choice distributions, and ordered scores.The public API documentation defines `noul`, `choice`, and `score` response shapes.ClaimTypeSafe reports Jev as materially faster than LLM workflows on its own evaluations.The launch material reports large latency multiples; X discussion mostly repeats those figures. Trade press (The Register) relays the same vendor figures without independent measurement. One report from outside TypeSafe — a Vercel engineer, amplified by Vercel's chief executive — reports a large speedup measured on the reporter's own workload.ClaimTypeSafe reports a low input-token price and no metered output-token charge for Jev.Published pricing is echoed across launch discussion, but remains mutable vendor pricing.ClaimTyped output removes free-form parsing but does not make wrong decisions impossible.The API contract constrains output types; correctness and calibration are separate empirical properties.ClaimRouting, classification, verification, and workflow control are the dominant early mental models.Those categories recur in the collected launch discussion and align with the documented output primitives.