{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-002-candidate-03", "canonicalCandidateSha256": "f2f62414a9daf75da179a895cc85ff14980c39ae7609ed8a94f9c52f4e1a049a", "fictionalDisclosure": true, "fiction": { "name": "RelayFault", "developerName": "Boundary Nine Labs", "iconAsset": "/storefront/v2/icons/category-002-candidate-03.svg", "iconTheme": { "motif": "A distinct geometric mark derived from the fictional name.", "palette": "High-contrast spectral gradient.", "shapeLanguage": "Rounded app-store tile with a clear lettermark.", "accessibilityNote": "The name remains visible beside the icon; colour is not the only identifier." }, "storeDescription": "RelayFault is a fictional independent testing service for jobs passed between several machine-run providers. It sends safe hard cases through the whole chain, adds delays and contradictions, and watches whether the promised result actually arrives. If one provider disappears or sends bad instructions, RelayFault records where responsibility breaks, whether a human can take over, and how every affected case is recovered. Buyers receive a clear failure map, not twelve separate dashboards all claiming success.", "rating": 4.8, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "MinaOps", "title": "Found the gap every supplier missed", "body": "The drill showed that three systems could each say done while our customer was still waiting. The recovery map gave us something practical to fix.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "RuralBuyer17", "title": "Useful, but our network was simplified", "body": "The main failure was real, but the test corridor did not include the unreliable connections our smaller sites face. Read the exclusions carefully.", "stars": 3, "stance": "critical", "fictionalDisclosure": true } ] }, "category": { "id": "category-002", "name": "Independent Proof That Work Really Finishes", "plainLanguageDefinition": "Forecast services that test bold machine and service claims in the real places where they must work. They expose hidden human rescue, broken hand-offs, delayed harm, physical damage and failed recovery, then produce evidence that buyers and affected people can challenge.", "recurringBrowsePurpose": "A buyer, safety body, assurance lab, standards body, regulator, insurer, worker body, outside researcher or affected group that needs evidence stronger than fluent output or supplier-run checks.", "completion": { "trigger": "A consequential capability or service claim lacks fresh outside evidence from a setting, time period and affected group that match the intended use.", "boundedWork": "Run independently chosen hard-case trials, observe complete work and human rescue, record the domain's exposure, uptime, energy, harm and recovery fields, repeat checks for lasting effects, publish methods, costs and limits, and support retesting when the service or setting changes.", "observableDone": "The caller receives a reproducible packet covering completion, intervention, damage, recovery, excluded settings, baseline and follow-up results, test cost and a dated retest rule. It shows when regional conditions match and names any failed claim, responsible operator and correction route." } }, "rank": { "mainChartPosition": 1, "rangeAcrossWeights": [ 1, 4 ], "dominantWorldIds": [ "W04" ], "whyAboveNext": "It sits above ShiftWitness because cross-provider failure has no natural owner and cannot be covered by one buyer's acceptance test. ShiftWitness may reach more workplaces, but much of it could be delivered by upgraded sector testing.", "whyThisPosition": "It ranks first because it has the clearest combination of future distance, large recurring need and a finish anyone can observe: the full service either completes and recovers or it does not. Its value applies wherever multi-provider machine chains emerge, although every region would need its own rules, infrastructure assumptions and human fallback. Its tie with ShiftWitness is broken by its more genuinely new unit of proof: the changing chain, not one workplace system.", "couldMoveUpIf": "It would become an even clearer number one if major service networks publish test corridors and shared hand-off receipts before 2030.", "couldMoveDownIf": "It would fall if consequential machine services stay inside one accountable provider or if cross-provider testing access remains unavailable.", "strongestCounterCase": "Existing chaos engineering, sector regulators and incident-sharing groups may extend their work across providers, giving them better access and authority than a separate marketplace service.", "publishedChartAppearances": [ { "chart": "main", "rank": 1, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Stress-test an entire chain of machine services and find the hand-off that strands a real person.", "whatItDoes": { "headline": "Chain-Failure Atlas", "summary": "It creates a safe test corridor across several providers, sends difficult cases through it, and follows each case until it finishes, fails safely or reaches a real person. The final report shows the weakest hand-offs, who had responsibility at each moment and whether recovery worked.", "steps": [ "The operator maps every hand-off, authority limit, human fallback and observable finish.", "Outside testers inject concealed hand-off faults and follow the person's case until completion, safe stop or recovery.", "The service publishes a chain map showing propagated failures, rescue burden, repair time, untested edges and a dated retest trigger." ], "outcome": "The caller receives evidence about the weakest hand-offs and whether the full service can stop and recover without abandoning the affected person." }, "whyOnTheList": { "headline": "A chain is not proven when only its parts pass.", "summary": "This forecast assumes that by 2031 important services may be assembled live from machine actors owned by different organisations. Each part could report success while the overall job fails. An outside chain tester would answer a recurring question that no single provider can answer honestly on its own: did the person receive the complete result, and could the chain recover when several things went wrong together?", "why2031Not2026": "Today, resilience teams usually test one product or a planned integration. RelayFault needs independently operated machine services to hand live cases and responsibility to one another, change providers without a full human redesign, and expose standard test corridors and hand-off receipts. Those institutional and operational conditions make it a 2031 forecast rather than a generic AI testing wrapper.", "worldShifts": [ { "shift": "W04 makes machine-to-machine delegation a normal way to deliver outcomes, so failure can cross organisational boundaries faster than any one operator can see.", "causalChain": [ "Providers optimise and report their own part of a delegated outcome.", "Conflicting goals, delays and unavailable services turn hand-offs into hidden points of non-completion.", "Outside chain trials reveal where a person is lost and which operator can actually restore the outcome." ], "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "src-international-ai-safety-report-2026" ], "worldIds": [ "W04" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "A new provider, policy, interface or delegation rule changes the chain even when every component version is unchanged." }, "futureDistance": { "cutoffBaseline": "In 2026, resilience teams can test one product or planned integration, but no standing outside service follows autonomous delegation across changing providers and affected-person recovery.", "structuralDifference2031": "The unit of proof becomes the changing delegation chain rather than one product, provider or model.", "essential2031Conditions": [ "Consequential services routinely delegate live cases across independently operated machine actors and can change providers without a new human design cycle." ], "notJustBetterAI": "The candidate is about cross-organisation responsibility, fault propagation and human recovery, not intelligence or accuracy.", "failureCondition": "If consequential machine services remain bounded inside one accountable provider, normal integration and resilience testing are sufficient." }, "howItCouldBeBuilt": { "overview": "A secure test harness sends synthetic and consented cases across live or isolated provider interfaces while an outside case team follows real completion and repair.", "components": [ { "name": "Delegation map", "plainLanguageRole": "Shows which actor holds the case, evidence and stop duty at every hand-off." }, { "name": "Fault journey runner", "plainLanguageRole": "Introduces delays, contradictions and provider loss and observes the person's full journey." } ], "dependencies": [ { "kind": "technical-institutional", "name": "Cross-provider test corridor", "plainLanguageRole": "Permits hard-case injection and evidence collection without harming live users.", "causalRequirement": "Major delegated services can maintain isolated corridors and standard hand-off receipts.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W04" ], "ifMissing": "Publish a map of claimed controls but do not claim that recovery was proven." } ], "hardestPart": "Obtaining enough access to reproduce a propagated failure without exposing real users or giving providers control of the test.", "whatCouldBeSimpler": "A tabletop exercise using provider documents." }, "harmsAndFailure": { "whoBenefits": [ "Reveals cross-provider abandonment", "Shows the real cost and location of human rescue" ], "warnings": [ "Small providers with limited test capacity", "People whose journeys supply evidence" ], "waysItCouldFail": [ "Security details could aid attackers", "Synthetic tests could disrupt service", "A chain pass could hide untested communities" ], "abuseRisks": [ "A dominant buyer demands excessive access", "Providers recognise and prioritise tests", "A published map exposes a fragile dependency" ], "safeguards": [ "Tiered disclosure and independent secure review", "Isolated corridors and abort limits", "Rotating cases and explicit population exclusions" ], "whenItMustStop": "Abort on spill-over to a live case, data leakage or loss of a named recovery owner." }, "rankExplanation": { "whyThisRank": "It ranks first because it has the clearest combination of future distance, large recurring need and a finish anyone can observe: the full service either completes and recovers or it does not. Its value applies wherever multi-provider machine chains emerge, although every region would need its own rules, infrastructure assumptions and human fallback. Its tie with ShiftWitness is broken by its more genuinely new unit of proof: the changing chain, not one workplace system.", "sourceWhyAboveNext": "It sits above ShiftWitness because cross-provider failure has no natural owner and cannot be covered by one buyer's acceptance test. ShiftWitness may reach more workplaces, but much of it could be delivered by upgraded sector testing.", "plainEnglishWhyAboveNext": "It sits above ShiftWitness because cross-provider failure has no natural owner and cannot be covered by one buyer's acceptance test. ShiftWitness may reach more workplaces, but much of it could be delivered by upgraded sector testing.", "couldMoveUpIf": "It would become an even clearer number one if major service networks publish test corridors and shared hand-off receipts before 2030.", "couldMoveDownIf": "It would fall if consequential machine services stay inside one accountable provider or if cross-provider testing access remains unavailable.", "basis": "design-inference", "evidenceIds": [ "src-metr-long-tasks-2025", "src-international-ai-safety-report-2026", "SC-R01", "SC-R02", "SC-R05", "SC-R06", "SC-R03", "SC-R04", "SC-R21", "SC-R22", "SC-R18", "SC-R19", "src-asean-ai-governance-guide-2024", "src-un-sids-digital-foundations" ], "worldIds": [ "W04" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 5, "needScale": 5, "globalBreadth": 5, "marketplaceClarity": 5, "deliveryReadiness2031": 4, "trustAndSafety": 4, "total": 95 }, "evidenceAnchors": [ { "statement": "The bound evidence supports caution about generalising bounded machine performance to longer, consequential work, which makes full-chain trials a reasonable response.", "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "src-international-ai-safety-report-2026" ], "worldIds": [ "W04" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "State, provider and human-service fragmentation changes the chain and appeal path.", "evidenceIds": [ "SC-R01", "SC-R02" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Identity linkage may aid tracing, but independent correction and outcome comparison need local proof.", "evidenceIds": [ "SC-R05", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "Cross-border portability and deletion make chain evidence both important and constrained.", "evidenceIds": [ "SC-R03", "SC-R04" ] }, { "geographyId": "india", "fit": "unknown", "explanation": "The packet lacks region-specific evidence for this chain-testing service.", "evidenceIds": [] }, { "geographyId": "japan-and-republic-of-korea", "fit": "unknown", "explanation": "Local cross-provider recovery evidence is absent.", "evidenceIds": [] }, { "geographyId": "gulf-technology-economies", "fit": "unknown", "explanation": "Cross-border provider and worker conditions require separate proof.", "evidenceIds": [] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Country-specific rights and infrastructure prevent a single chain result from transferring.", "evidenceIds": [ "SC-R21", "SC-R22" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "Connectivity, repair access and national governance strongly shape the tested chain.", "evidenceIds": [ "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "conditional", "explanation": "Local norms, safe exit and human fallback must be represented in each chain test.", "evidenceIds": [ "src-asean-ai-governance-guide-2024", "src-un-sids-digital-foundations" ] } ], "scenarioFit": [ { "worldId": "W04", "fit": "strong", "reason": "Delegated machine services make cross-provider hand-off failure a structural source of hidden non-completion." } ], "resolutionCriteria": [ "A trial follows each injected fault to verified completion, safe stop or unresolved abandonment.", "Retesting detects a materially different result after provider substitution.", "The atlas identifies rescue labour and a responsible recovery operator for every tested hand-off." ] }, "evidenceLimitations": "Observed and published evidence grounds the world pressures and present constraints. The category, product, developer, reviews, rating and exact rank are fictional forecasts and may be wrong.", "datedCollisionAudit": { "cutoff": "2026-08-02", "auditedAt": "2026-08-03T23:59:59.000Z", "verdict": "future-dependent-no-collision-found", "publicReason": "no-material-collision-found. This is a search-engine snapshot, not a trademark search, company-register search, domain search, app-store clearance or legal opinion. Search indexing and regional coverage are incomplete, and a no-material-collision-found verdict means only that this bounded search did not surface a material exact-name use. It does not establish availability or clearance.", "closestMatches": [ { "title": "Honeywell Searchzone Sonik Technical Manual", "url": "https://prod-edam.honeywell.com/content/dam/honeywell-edam/sps/his/en-us/products/gas-and-flame-detection/documents/Searchzone%20Sonik%20Technical%20Manual.pdf", "reason": "The returned manual contains the technical string relayFAULT(R1), but it is not presented as the exact branded name of an app, software product, technology company or related digital service." } ] }, "evidenceReferences": [ { "kind": "source", "id": "src-metr-long-tasks-2025", "title": "Measuring AI Ability to Complete Long Tasks", "publisher": "Model Evaluation and Threat Research", "url": "https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/", "publishedAt": "2025-03-19", "accessedAt": "2026-08-02", "limitations": "The task set is weighted toward software and research work. A historical doubling trend does not guarantee continuation or transfer to 30-day, multi-stakeholder assignments.", "evidenceClass": "measured-trend", "geographies": [ "global" ] }, { "kind": "source", "id": "src-international-ai-safety-report-2026", "title": "International AI Safety Report 2026", "publisher": "International AI Safety Report", "url": "https://internationalaisafetyreport.org/publication/international-ai-safety-report-2026", "publishedAt": "2026-02-03", "accessedAt": "2026-08-02", "limitations": "The report synthesises evidence available through December 2025, so later capability claims require separate checks. Trend continuation and risk scenarios are not forecasts, and benchmark progress may not transfer to messy real work.", "evidenceClass": "measured-trend", "geographies": [ "global" ] }, { "kind": "source", "id": "SC-R01", "title": "Our Epidemic of Loneliness and Isolation", "publisher": "United States Department of Health and Human Services, Office of the Surgeon General", "url": "https://www.hhs.gov/sites/default/files/surgeon-general-social-connection-advisory.pdf", "publishedAt": "2023-05-02", "accessedAt": "2026-08-02", "limitations": "Many reported health relationships are observational associations; United States evidence is not globally representative.", "evidenceClass": "measured-trend", "geographies": [ "United States" ] }, { "kind": "source", "id": "SC-R02", "title": "Families and living arrangements: 2022 data", "publisher": "United States Census Bureau", "url": "https://www.census.gov/newsroom/press-releases/2024/families-living-arrangements.html", "publishedAt": "2024-05-30", "accessedAt": "2026-08-02", "limitations": "Household composition is not a measure of loneliness, relationship quality or voluntary solitude.", "evidenceClass": "measured-trend", "geographies": [ "United States" ] }, { "kind": "source", "id": "SC-R05", "title": "Communique on Major Data of the 1% National Population Sample Survey in 2025", "publisher": "National Bureau of Statistics of China", "url": "https://www.stats.gov.cn/english/PressRelease/202605/t20260522_1963789.html", "publishedAt": "2026-05-22", "accessedAt": "2026-08-02", "limitations": "Demographic, household and migration indicators do not directly measure loneliness, belonging or relationship quality.", "evidenceClass": "measured-trend", "geographies": [ "China" ] }, { "kind": "source", "id": "SC-R06", "title": "China targets wider mutual-aid eldercare coverage by 2030", "publisher": "State Council of the People's Republic of China", "url": "https://english.www.gov.cn/news/202604/29/content_WS69f1abd1c6d00ca5f9a0ab18.html", "publishedAt": "2026-04-29", "accessedAt": "2026-08-02", "limitations": "A target is not proof of implementation, equitable access, service quality or social-connection outcomes.", "evidenceClass": "policy-intent", "geographies": [ "China" ] }, { "kind": "source", "id": "SC-R03", "title": "EU Loneliness Survey", "publisher": "European Commission Joint Research Centre", "url": "https://joint-research-centre.ec.europa.eu/projects-and-activities/survey-methods-and-analysis-centre/loneliness/eu-loneliness-survey_en", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "Online 2022 survey; response and sampling differences limit exact comparisons between countries.", "evidenceClass": "measured-trend", "geographies": [ "European Union member states surveyed in 2022" ] }, { "kind": "source", "id": "SC-R04", "title": "Household composition statistics", "publisher": "Eurostat", "url": "https://ec.europa.eu/eurostat/statistics-explained/SEPDF/cache/29071.pdf", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "Household form does not measure loneliness or belonging; member-state patterns vary.", "evidenceClass": "measured-trend", "geographies": [ "European Union" ] }, { "kind": "source", "id": "SC-R21", "title": "The care society: acting today for a better future", "publisher": "United Nations Economic Commission for Latin America and the Caribbean", "url": "https://www.cepal.org/en/articles/2024-care-society-acting-today-better-future", "publishedAt": "2024-10-29", "accessedAt": "2026-08-02", "limitations": "Regional aggregates conceal country and subnational variation; care pressure is not a direct loneliness measure.", "evidenceClass": "policy-intent", "geographies": [ "Latin America and the Caribbean" ] }, { "kind": "source", "id": "SC-R22", "title": "Mental health", "publisher": "Pan American Health Organization", "url": "https://www.paho.org/en/topics/mental-health", "publishedAt": "2026-08-02", "accessedAt": "2026-08-02", "limitations": "Regional treatment-gap and spending summaries are not current service-capacity estimates for each country.", "evidenceClass": "measured-trend", "geographies": [ "Latin America and the Caribbean; Americas where stated" ] }, { "kind": "source", "id": "SC-R18", "title": "Urgent action needed to accelerate mental health progress in African region", "publisher": "World Health Organization Regional Office for Africa", "url": "https://www.afro.who.int/news/urgent-action-needed-accelerate-mental-health-progress-african-region", "publishedAt": "2024-10-10", "accessedAt": "2026-08-02", "limitations": "Regional averages hide large country differences; service inputs do not prove access, quality or outcomes.", "evidenceClass": "measured-trend", "geographies": [ "WHO African Region" ] }, { "kind": "source", "id": "SC-R19", "title": "Ageing in Africa", "publisher": "United Nations Department of Economic and Social Affairs", "url": "https://www.un.org/development/desa/en/news/population/ageing-in-africa.html", "publishedAt": "2016-05-04", "accessedAt": "2026-08-02", "limitations": "Older source and projection; Africa is highly heterogeneous and remains younger than other world regions.", "evidenceClass": "modelled-projection", "geographies": [ "Africa" ] }, { "kind": "source", "id": "src-asean-ai-governance-guide-2024", "title": "ASEAN Guide on AI Governance and Ethics", "publisher": "Association of Southeast Asian Nations", "url": "https://asean.org/wp-content/uploads/2024/02/ASEAN-Guide-on-AI-Governance-and-Ethics_beautified_201223_v2.pdf", "publishedAt": "2024-02-02", "accessedAt": "2026-08-02", "limitations": "The guide is voluntary and focuses on responsible adoption rather than frontier capability. ASEAN member states differ greatly in infrastructure, regulation, income, and implementation capacity.", "evidenceClass": "policy-intent", "geographies": [ "other" ] }, { "kind": "source", "id": "src-un-sids-digital-foundations", "title": "Small Island Developing States", "publisher": "United Nations Department of Economic and Social Affairs", "url": "https://sdgs.un.org/topics/small-island-developing-states", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "The official topic page did not expose a single reliable publication date; it was accessed on 2026-08-02. It establishes structural constraints and agreed priorities, not a specific AI adoption path.", "evidenceClass": "policy-intent", "geographies": [ "other" ] } ], "rankingIndexPath": "rankings/category-002/index.json", "sourceReceipts": [] }