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J Jev Atlas / Independent research

165 posts · 9 claims · 31 hypotheses

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Opportunity map

Organised by what makes Jev useful.

Not by industry or product category — by the property a workload has to exhibit before a typed judgment beats a generative call or a rule tree. If your workload does not sit under one of these nine headings, Jev is probably the wrong tool.

High-volume semantic classification 2Real-time product decisions 4Routing and triage 5Verification and guardrails 4Ranking and scoring 3Event-driven automation 4Agent tool gating 5Semantic features for conventional software 2Repeated judgment over large datasets 2

01

High-volume semantic classification

A typed label costs far less than generated prose, so labelling everything becomes affordable.

Workloads where every item in a large, continuous stream needs a category before anything else can happen.

2 hypotheses

  • Local Activity Auto-TimelineMEDIUMA private desktop timeline deciding whether each app/window event starts, continues, or ends an activity.Indie fit 10/10
  • Privacy-Preserving Screen Event FilterLOWA local preflight layer deciding whether a screen change is useful, sensitive, or ignorable.Indie fit 8/10

02

Real-time product decisions

Latency low enough to sit in a request path rather than a background job.

Decisions a user is waiting on, where a generative round trip would be felt as lag.

4 hypotheses

  • Adaptive Game NPC DirectorMEDIUMA runtime director selecting tactics, attention, difficulty response, and group coordination every tick interval.Indie fit 9/10
  • Notification Interruptibility EngineMEDIUMA macOS/iOS layer that decides deliver, batch, summarize-later, or suppress for every event.Indie fit 9/10
  • Continuous Form Friction ControllerMEDIUMA form engine deciding which question to show next, skip, verify, or escalate.Indie fit 8/10
  • Semantic Feature-Flag AllocatorLOWA policy layer selecting safe UI variants based on session intent, friction, and risk.Indie fit 7/10

03

Routing and triage

A bounded Choice with a confidence score is exactly the shape a router needs.

Sending work to the right model, queue, team, or handler, with an explicit escalation path when confidence is low.

5 hypotheses

  • Inbox Micro-RouterMEDIUMAn email client companion assigning folder, urgency, next-action, and safe automation eligibility.Indie fit 10/10
  • Agent Model RouterHIGHA drop-in router that selects model, reasoning effort, and fallback policy per step.Indie fit 9/10
  • CI Review TriageMEDIUMA GitHub check that assigns review depth, owners, and required test classes to every pull request.Indie fit 9/10
  • Meeting Participation RouterLOWA planner assigning attend, async input, optional, or no-action per person and agenda item.Indie fit 8/10
  • Support Action GateMEDIUMA decision layer approving refunds, credits, escalations, and account changes within explicit limits.Indie fit 7/10

04

Verification and guardrails

An independent second judgment is cheap enough to run on every output.

Checking another system's work before it reaches a user, a customer, or a production branch.

4 hypotheses

  • Decision Regression HarnessHIGHA test runner recording typed decisions and calibration metrics over versioned scenario suites.Indie fit 10/10
  • Dependency Update GateMEDIUMA bot deciding auto-merge, test-more, human-review, defer, or block for every update.Indie fit 10/10
  • Calendar Commitment GuardMEDIUMA scheduling guard that classifies each invitation and proposes accept, decline, delegate, or request agenda.Indie fit 9/10
  • LLM Output Escalation MeshMEDIUMA mesh of cheap per-claim decisions selecting accept, recheck, regenerate, retrieve, or ask a human.Indie fit 8/10

05

Ranking and scoring

Score returns a calibrated number that ordinary code can sort, threshold, and audit.

Ordering, sampling, and prioritising when there is more candidate work than budget to process it.

3 hypotheses

  • Autonomous QA Scenario SelectorMEDIUMA test controller choosing the next action and deciding when a distinct failure has been found.Indie fit 9/10
  • Adaptive Observability SamplerMEDIUMA collector making keep/drop/escalate decisions from trace metadata and partial spans.Indie fit 7/10
  • API Abuse Shape DetectorLOWAn edge middleware assigning abuse type, severity, and response tier to suspicious request sequences.Indie fit 7/10

06

Event-driven automation

A decision per event is viable when each decision costs a fraction of a generative call.

Reacting to webhooks, device state, failures, and schedules without writing brittle rule trees.

4 hypotheses

  • Home Automation Intent LayerHIGHA Home Assistant layer turning state changes into typed comfort, safety, and automation decisions.Indie fit 9/10
  • Webhook Decision BusHIGHA developer service mapping each event to typed route, priority, and action decisions.Indie fit 9/10
  • Smart Retry PolicyMEDIUMA library choosing retry, backoff class, fallback, or dead-letter from structured failure context.Indie fit 8/10
  • Semantic Background-Task SchedulerLOWA scheduler choosing run-now, defer, batch, cancel, or request power/network for each task.Indie fit 7/10

07

Agent tool gating

Agents need typed permission decisions that the agent itself does not control.

Deciding what an autonomous loop may do next, and when a human or a stricter model has to intervene.

5 hypotheses

  • Agent Tool FirewallHIGHA local gateway that scores every proposed tool call and requires confirmation only when risk is high.Indie fit 10/10
  • MCP Capability RouterHIGHA proxy exposing only the small capability subset relevant to the current step.Indie fit 10/10
  • Agent Loop StopperHIGHA loop controller deciding continue, retry differently, verify, ask, or stop after every step.Indie fit 9/10
  • Context Window Admission ControllerHIGHA component scoring every candidate memory, file, or message before context assembly.Indie fit 9/10
  • Multi-Agent Vote CalibratorMEDIUMA coordinator deciding when votes agree enough, need another specialist, or require human escalation.Indie fit 9/10

08

Semantic features for conventional software

Probabilities become ordinary values that existing code and models can consume.

Exposing typed judgments as predicates, features, and SDK primitives inside systems that stay deterministic.

2 hypotheses

  • Micro-Approval SDKHIGHAn SDK and embeddable UI for approve/deny/escalate flows backed by typed probabilistic decisions.Indie fit 10/10
  • Probabilistic Rules EngineHIGHAn open-source engine combining Jev judgments with auditable deterministic conditions.Indie fit 10/10

09

Repeated judgment over large datasets

The same narrow question asked thousands of times, where per-call cost dominates feasibility.

Batch and corpus-wide work that was previously too expensive to judge semantically at all.

2 hypotheses

  • Personal File Attention IndexMEDIUMA local index that scores files, downloads, screenshots, and documents for urgency and project relevance.Indie fit 10/10
  • Data Pipeline Quarantine RouterMEDIUMA stream processor choosing accept, normalize, quarantine, retry, or human review per record.Indie fit 8/10

Every entry on this map is an authored hypothesis, not a validated product. Lens assignment is an editorial judgment about which property of Jev the idea depends on most.