{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-002-candidate-07", "canonicalCandidateSha256": "8f85cdab98ff35ef14f9b7852b79db5b1c9017bdd5b388ea61f834b1b89f95d9", "fictionalDisclosure": true, "fiction": { "name": "Hardcase Assembly", "developerName": "Many Worlds Assurance", "iconAsset": "/storefront/v2/icons/category-002-candidate-07.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": "Hardcase Assembly is a fictional governed library of hard cases for independent service trials. Affected people, workers and local experts contribute patterns that supplier teams may miss, while protected real examples stay hidden with trusted case keepers. Independent labs receive blinded selections and test the complete service, including rescue and recovery. Public methods can be reused, but results stay tied to the population and setting tested. The commons gives excluded groups a practical role without publishing private stories.", "rating": 4.4, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "AccessTesterJo", "title": "A case our usual lab never imagined", "body": "The blinded draw combined poor connectivity, a local-language hand-off and assisted use. It exposed a failure hidden by every standard test.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "CommunitySeat3", "title": "Representation is still a fight", "body": "The council listened, but urban members had more time and influence. A commons needs money for participation, not just invitations.", "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": 9, "rangeAcrossWeights": [ 6, 10 ], "dominantWorldIds": [ "W04" ], "whyAboveNext": "It ranks above LongAfter Lab because hard-case testing can serve many sectors and settings, while long-term relationship trials are slower, costlier and depend on synthetic relationships materially changing human support.", "whyThisPosition": "It ranks ninth because its future distance and global potential are strong, but delivery and trust are harder. A council can still be unrepresentative, protected cases can leak, and one region's difficult case may not transfer to another. The marketplace result is also less direct than a shift trial or interruption drill. It remains in the top ten because no supplier has a reliable incentive to maintain this shared challenge resource alone.", "couldMoveUpIf": "It could rise if public buyers and assurance funds support independent local councils, protected case trustees and affordable shared labs across regions.", "couldMoveDownIf": "It would fall if governance is captured, protected stories leak, or regulators build more legitimate representative test libraries themselves.", "strongestCounterCase": "Regulators and established standards bodies may be better placed to convene affected groups, protect cases and require suppliers to test them, without a marketplace intermediary.", "publishedChartAppearances": [ { "chart": "main", "rank": 9, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 10, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Let affected communities choose the hard cases that machine-service suppliers would rather avoid.", "whatItDoes": { "headline": "Public Hard-Case Commons", "summary": "It separates public failure patterns from protected real examples, lets a representative council govern both, and assigns surprise case sets to independent labs. The caller receives results based on cases chosen beyond the supplier, plus clear limits on which people and places were represented.", "steps": [ "Affected groups submit and govern safely abstracted hard cases, harms, rescue needs and acceptable outcomes.", "Accredited outside labs draw concealed case sets and run them against the current service in matched settings.", "The commons publishes aggregate completion, intervention, damage, recovery, exclusions and corrections while returning individual remedy questions to proper authorities." ], "outcome": "The caller receives independently tested evidence based on hard cases selected beyond the supplier and a reusable public method." }, "whyOnTheList": { "headline": "Independent proof needs independent control of what counts as hard.", "summary": "The forecast assumes autonomous services will spread across settings faster than any supplier's internal testing can represent them. Rare combinations of language, disability, infrastructure and institutional rules could repeatedly escape standard benchmarks. Hardcase Assembly pools the cost of finding and maintaining those cases while giving affected communities standing in assurance rather than treating them only as people to be studied after harm.", "why2031Not2026": "Public benchmarks and red-team calls already collect examples. This service becomes distinct when affected groups co-own a renewable, partly hidden input for full-service trials and recovery checks against live autonomous claims. Its 2031 value is the governance relationship and repeated field testing, not simply a larger dataset.", "worldShifts": [ { "shift": "W04 lets machine-run services scale across populations and settings faster than any supplier's internal case library can represent them.", "causalChain": [ "Suppliers have incentives to test visible, tractable and commercially important cases.", "Rare combined failures concentrate harm in groups too small to shape a supplier benchmark.", "A governed commons pools those cases and assigns concealed trials to outside operators." ], "basis": "measured-trend", "evidenceIds": [ "src-international-ai-safety-report-2026", "src-metr-long-tasks-2025" ], "worldIds": [ "W04" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "New harms and evasions appear after deployment and after suppliers adapt to known tests." }, "futureDistance": { "cutoffBaseline": "In 2026, public benchmarks and red-team calls can collect cases, but affected groups rarely govern hidden full-service trials and recovery evidence.", "structuralDifference2031": "Affected groups become standing co-owners of a renewable assurance input used against live autonomous service claims.", "essential2031Conditions": [ "Autonomous services scale across settings quickly enough that rare combined harms repeatedly outrun supplier and regulator case libraries." ], "notJustBetterAI": "The material change is control of test selection, protected case ownership and pooled field trials, not a better evaluator model.", "failureCondition": "If services remain locally designed and directly supervised, local user research and ordinary standards participation can meet the need." }, "howItCouldBeBuilt": { "overview": "A governed case repository separates public patterns from protected examples and assigns blinded draws to independent labs.", "components": [ { "name": "Affected-group case council", "plainLanguageRole": "Sets inclusion rules and decides which abstracted failures enter the pool." }, { "name": "Blinded test broker", "plainLanguageRole": "Selects a concealed, reproducible case set and sends it to a qualified lab." } ], "dependencies": [ { "kind": "institutional", "name": "Representative and protected case governance", "plainLanguageRole": "Keeps the commons useful to affected groups without exposing people or becoming a popularity contest.", "causalRequirement": "Sector assurance funds can support standing councils and protected case trustees.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W04" ], "ifMissing": "The broker may test technical cases but cannot claim affected-group governance." } ], "hardestPart": "Sharing enough about failure for learning and reproduction without exposing contributors or teaching suppliers the hidden cases.", "whatCouldBeSimpler": "A lab advisory panel and periodic public call for cases." }, "harmsAndFailure": { "whoBenefits": [ "Includes failures suppliers overlook", "Shares testing cost across small buyers" ], "warnings": [ "Contributors exposed by rare cases", "Small suppliers facing broad test demands" ], "waysItCouldFail": [ "Re-identification", "Case leakage", "Token representation without real influence" ], "abuseRisks": [ "A supplier plants easy cases", "A majority excludes a small group", "An attacker buys access to protected patterns" ], "safeguards": [ "Independent identity and conflict checks", "Reserved minority review and transparent selection rules", "Tiered access, secure labs and paid contributors" ], "whenItMustStop": "Stop intake or testing on consent failure, case leakage or credible risk to a contributor." }, "rankExplanation": { "whyThisRank": "It ranks ninth because its future distance and global potential are strong, but delivery and trust are harder. A council can still be unrepresentative, protected cases can leak, and one region's difficult case may not transfer to another. The marketplace result is also less direct than a shift trial or interruption drill. It remains in the top ten because no supplier has a reliable incentive to maintain this shared challenge resource alone.", "sourceWhyAboveNext": "It ranks above LongAfter Lab because hard-case testing can serve many sectors and settings, while long-term relationship trials are slower, costlier and depend on synthetic relationships materially changing human support.", "plainEnglishWhyAboveNext": "It ranks above LongAfter Lab because hard-case testing can serve many sectors and settings, while long-term relationship trials are slower, costlier and depend on synthetic relationships materially changing human support.", "couldMoveUpIf": "It could rise if public buyers and assurance funds support independent local councils, protected case trustees and affordable shared labs across regions.", "couldMoveDownIf": "It would fall if governance is captured, protected stories leak, or regulators build more legitimate representative test libraries themselves.", "basis": "design-inference", "evidenceIds": [ "src-international-ai-safety-report-2026", "src-metr-long-tasks-2025", "SC-R01", "SC-R02", "SC-R05", "SC-R06", "SC-R03", "SC-R04", "SC-R21", "SC-R22", "SC-R23", "SC-R18", "SC-R19", "SC-R20", "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": 4, "globalBreadth": 5, "marketplaceClarity": 4, "deliveryReadiness2031": 3, "trustAndSafety": 4, "total": 85 }, "evidenceAnchors": [ { "statement": "The bound material identifies jagged performance, transfer limits and the need for independent testing, supporting wider control of hard-case selection.", "basis": "measured-trend", "evidenceIds": [ "src-international-ai-safety-report-2026", "src-metr-long-tasks-2025" ], "worldIds": [ "W04" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "State, provider and community representation differences require several councils.", "evidenceIds": [ "SC-R01", "SC-R02" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Identity linkage and independent correction create specific governance questions.", "evidenceIds": [ "SC-R05", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "Portability, deletion and child safeguards shape case reuse and withdrawal.", "evidenceIds": [ "SC-R03", "SC-R04" ] }, { "geographyId": "india", "fit": "unknown", "explanation": "The packet lacks direct evidence for representative hard-case governance in this setting.", "evidenceIds": [] }, { "geographyId": "japan-and-republic-of-korea", "fit": "unknown", "explanation": "Local participation and transfer evidence is absent.", "evidenceIds": [] }, { "geographyId": "gulf-technology-economies", "fit": "unknown", "explanation": "Plural populations and migrant status require protected local governance evidence.", "evidenceIds": [] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Country-specific safety and community rights favour local rather than regional case control.", "evidenceIds": [ "SC-R21", "SC-R22", "SC-R23" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "National, linguistic and infrastructure variation makes pooled local councils important.", "evidenceIds": [ "SC-R18", "SC-R19", "SC-R20" ] }, { "geographyId": "other-material-paths", "fit": "conditional", "explanation": "Local norms and safe exit require protected local case ownership.", "evidenceIds": [ "src-asean-ai-governance-guide-2024", "src-un-sids-digital-foundations" ] } ], "scenarioFit": [ { "worldId": "W04", "fit": "strong", "reason": "Fast-scaling autonomous services make supplier-selected cases structurally inadequate for diverse real-world failure." } ], "resolutionCriteria": [ "Affected-group councils control inclusion and withdrawal under published rules.", "Independent labs reproduce findings from blinded matched draws.", "Reports include completion, rescue, damage, recovery, exclusions, cost and retest date." ] }, "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": "Warranty | Hardcase", "url": "https://www.hardcase.com/home/warranty/", "reason": "The result contains hardcase and assembly as ordinary product words but does not use the exact phrase as the name of an app, software product, technology company or digital service." } ] }, "evidenceReferences": [ { "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": "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": "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-R23", "title": "Social cohesion and inclusive social development in Latin America: a proposal for an era of uncertainties", "publisher": "United Nations Economic Commission for Latin America and the Caribbean", "url": "https://www.cepal.org/en/publications/47884-social-cohesion-and-inclusive-social-development-latin-america-proposal-era", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "Social cohesion is multidimensional; the evidence does not prove that every country or form of trust is declining.", "evidenceClass": "policy-intent", "geographies": [ "Latin America; evidence across 18 countries where available" ] }, { "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": "SC-R20", "title": "Living Arrangements of Older Persons", "publisher": "United Nations Department of Economic and Social Affairs Population Division", "url": "https://www.un.org/development/desa/pd/data/living-arrangements-older-persons", "publishedAt": "2026-08-02", "accessedAt": "2026-08-02", "limitations": "Census years, household definitions and coverage differ; co-residence does not prove supportive relationships.", "evidenceClass": "measured-trend", "geographies": [ "Global; countries with available census or survey data" ] } ], "rankingIndexPath": "rankings/category-002/index.json", "sourceReceipts": [] }