{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-002-candidate-06", "canonicalCandidateSha256": "dabf0487bc68dd96415f1cf15de7913f4e8c3efd3263524b8a48c350c5cedfc8", "fictionalDisclosure": true, "fiction": { "name": "Handback", "developerName": "Return Path Works", "iconAsset": "/storefront/v2/icons/category-002-candidate-06.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": "Handback is a fictional safety-drill service for autonomous operations. It introduces a contained failure, watches the machine stop, and checks that the full case reaches a named human team with the right history, tools and authority. The drill does not end when a dashboard turns green. It ends only when every stranded case is found, the promised service is restored and repair is recorded. Organisations get evidence that their emergency plan works outside a document.", "rating": 4.9, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "AmalContinuity", "title": "The roster existed only on paper", "body": "Our first drill found that half the fallback team could not open the transferred cases. That uncomfortable result made the service safer before launch.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "ClinicOpsQ", "title": "Realistic but disruptive", "body": "Even the contained rehearsal slowed routine work. We needed more preparation and clearer rules about when a test should be stopped.", "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": 3, "rangeAcrossWeights": [ 2, 5 ], "dominantWorldIds": [ "W04" ], "whyAboveNext": "It outranks MemoryExit Relay because failure handback applies across many consequential sectors, while safe exit from synthetic relationships depends on the narrower forecast that those relationships become persistent routes into material support.", "whyThisPosition": "It ranks third because interruption and recovery are universal safety needs, its finish is unmistakable and its drills can be repeated as staff and provider chains change. It scores slightly below the leaders because running realistic exercises is costly and some regions or small organisations may not have a funded human fallback team available to test in the first place.", "couldMoveUpIf": "It could rise if autonomous-service contracts must prove reachable human capacity and successful case handback through regular independent drills.", "couldMoveDownIf": "It would fall if autonomous systems remain continuously supervised or if existing continuity teams can test handback with no specialist service.", "strongestCounterCase": "Mature business-continuity and emergency-response teams could add machine authority transfer to drills they already run, making a separate marketplace product unnecessary.", "publishedChartAppearances": [ { "chart": "main", "rank": 3, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Rehearse the exact moment a machine service stops and a funded human team takes responsibility.", "whatItDoes": { "headline": "Live Interruption Exchange", "summary": "It schedules a safe interruption, injects a controlled fault and follows responsibility from the machine to a real fallback team. The report shows stop time, missing information, abandoned cases, human capacity, repair steps and how long the full promised outcome took to restore.", "steps": [ "The caller selects a bounded service, affected groups, safe abort line and required human fallback.", "An independent team schedules an unannounced but contained interruption and follows hand-back, backlog, harm and repair.", "The team publishes the timed recovery record, failed duties, excluded conditions and the date or change that requires another exercise." ], "outcome": "The caller receives observed evidence that the service can stop, transfer responsibility and restore the promised outcome." }, "whyOnTheList": { "headline": "Recovery is a capability only after somebody has watched it happen.", "summary": "This forecast assumes some 2031 services will keep running and reconfiguring without a person approving every step. That makes a paper emergency plan dangerously easy to fake. Handback tests the hardest moment directly: can the machine stop, can a reachable person understand what happened, and can the organisation finish every live case rather than simply restart its software?", "why2031Not2026": "Continuity drills exist today, but they usually recover infrastructure or a human-operated process. Handback forecasts persistent machine actors that can hold live case responsibility. It needs standard case transfer, funded fallback rosters and rules for handing operational authority back to people across an autonomous service.", "worldShifts": [ { "shift": "In W04, machine-run services can continue and reconfigure without a human operator at each step, so a paper hand-back can be detached from actual responsibility.", "causalChain": [ "Autonomous operation lengthens the period before a person notices degraded service.", "A stop signal can succeed technically while cases, obligations and physical consequences remain abandoned.", "A live bounded exercise measures the full hand-back and recovery rather than the signal alone." ], "basis": "measured-trend", "evidenceIds": [ "src-international-ai-safety-report-2026", "AC-09" ], "worldIds": [ "W04" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "Staffing, provider chains, physical conditions and recovery routes decay between incidents." }, "futureDistance": { "cutoffBaseline": "In 2026, organisations run continuity and disaster-recovery drills, but persistent autonomous actors do not routinely transfer live authority and case state across a machine-run service.", "structuralDifference2031": "The drill tests responsibility hand-back from an operating machine actor to a funded human service, including every stranded case.", "essential2031Conditions": [ "Consequential autonomous services persist without step-by-step human control and can hold live case responsibility when they fail." ], "notJustBetterAI": "The indispensable change is persistent delegated authority and the need to recover cases from it, not smarter automation.", "failureCondition": "If autonomous services remain continuously supervised tools, existing continuity exercises cover the need." }, "howItCouldBeBuilt": { "overview": "An independent scheduler, fault-injection harness, human fallback roster and recovery observer run contained drills against declared safety limits.", "components": [ { "name": "Safe interruption plan", "plainLanguageRole": "Defines what may be interrupted, what must never be risked and who can abort." }, { "name": "Recovery clock", "plainLanguageRole": "Follows every unfinished case until verified restoration, compensation route or unresolved failure." } ], "dependencies": [ { "kind": "operational", "name": "Funded and reachable human fallback", "plainLanguageRole": "Receives authority, evidence and unfinished work when the machine service stops.", "causalRequirement": "Consequential autonomous services can maintain named rosters, capacity evidence and portable case hand-back.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W04" ], "ifMissing": "The listing must report an unsafe recovery gap and cannot run a live interruption." } ], "hardestPart": "Making a drill realistic enough to reveal abandonment while containing harm to people and physical systems.", "whatCouldBeSimpler": "A scheduled tabletop continuity drill." }, "harmsAndFailure": { "whoBenefits": [ "Reveals paper-only fallback", "Measures backlog, harm and repair rather than uptime alone" ], "warnings": [ "People caught in a drill", "Fallback staff facing sudden load" ], "waysItCouldFail": [ "Service disruption", "Physical or emotional harm", "Normalisation of underfunded fallback" ], "abuseRisks": [ "Managers disguise real outages as drills", "Providers receive advance warning", "Drills repeatedly burden the same group" ], "safeguards": [ "Independent scheduling and clear drill labels after containment", "Randomised windows and protected observers", "Burden limits, compensation and emergency abort" ], "whenItMustStop": "Abort immediately at the agreed safety threshold, loss of fallback or spill-over beyond the test boundary." }, "rankExplanation": { "whyThisRank": "It ranks third because interruption and recovery are universal safety needs, its finish is unmistakable and its drills can be repeated as staff and provider chains change. It scores slightly below the leaders because running realistic exercises is costly and some regions or small organisations may not have a funded human fallback team available to test in the first place.", "sourceWhyAboveNext": "It outranks MemoryExit Relay because failure handback applies across many consequential sectors, while safe exit from synthetic relationships depends on the narrower forecast that those relationships become persistent routes into material support.", "plainEnglishWhyAboveNext": "It outranks MemoryExit Relay because failure handback applies across many consequential sectors, while safe exit from synthetic relationships depends on the narrower forecast that those relationships become persistent routes into material support.", "couldMoveUpIf": "It could rise if autonomous-service contracts must prove reachable human capacity and successful case handback through regular independent drills.", "couldMoveDownIf": "It would fall if autonomous systems remain continuously supervised or if existing continuity teams can test handback with no specialist service.", "basis": "design-inference", "evidenceIds": [ "src-international-ai-safety-report-2026", "AC-09", "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": 4, "marketplaceClarity": 5, "deliveryReadiness2031": 4, "trustAndSafety": 5, "total": 94 }, "evidenceAnchors": [ { "statement": "The bound evidence identifies limits and unevenness in dependable machine performance, supporting direct observation of stop and recovery rather than assumed resilience.", "basis": "measured-trend", "evidenceIds": [ "src-international-ai-safety-report-2026", "AC-09" ], "worldIds": [ "W04" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "State and provider fragmentation changes authority and fallback capacity.", "evidenceIds": [ "SC-R01", "SC-R02" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Identity-linked service records may aid recovery, while independent correction needs local evidence.", "evidenceIds": [ "SC-R05", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "Human alternatives and cross-border portability shape safe hand-back.", "evidenceIds": [ "SC-R03", "SC-R04" ] }, { "geographyId": "india", "fit": "unknown", "explanation": "The packet lacks direct regional evidence on live interruption and recovery proof.", "evidenceIds": [] }, { "geographyId": "japan-and-republic-of-korea", "fit": "unknown", "explanation": "Local recovery and authority evidence is absent.", "evidenceIds": [] }, { "geographyId": "gulf-technology-economies", "fit": "unknown", "explanation": "Plural populations, migrant services and public-private authority need local trials.", "evidenceIds": [] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Country-specific safety and service rights require separate drills.", "evidenceIds": [ "SC-R21", "SC-R22" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "Connectivity, physical access and national fallback capacity shape fit.", "evidenceIds": [ "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "conditional", "explanation": "Local infrastructure, norms and human fallback prevent simple transfer.", "evidenceIds": [ "src-asean-ai-governance-guide-2024", "src-un-sids-digital-foundations" ] } ], "scenarioFit": [ { "worldId": "W04", "fit": "strong", "reason": "Persistent autonomous operation makes observed hand-back and recovery a recurring assurance need." } ], "resolutionCriteria": [ "Every interrupted case reaches verified restoration, safe alternative or explicit unresolved status.", "The drill measures human load, damage and repair time.", "A change in provider, control policy or fallback roster triggers a new dated exercise." ] }, "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": "Virtual Venue – Sports Event Management Software", "url": "https://www.virtualvenue-events.com/", "reason": "The page uses handback as a generic event-management activity label, not as the exact branded name of the software or company." } ] }, "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": "AC-09", "title": "T2J-Bench", "publisher": "unknown", "url": "https://arxiv.org/abs/2605.29054", "publishedAt": "2026-05-27", "accessedAt": "2026-08-01", "limitations": "Preprint, one task family", "evidenceClass": "measured-trend", "geographies": [ "Other/unspecified", "unknown" ] }, { "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": [] }