{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-002-candidate-05", "canonicalCandidateSha256": "365a214241a2faf74185a1bedacffcd76186f3828d54c675be45783909739895", "fictionalDisclosure": true, "fiction": { "name": "HumanLift Ledger", "developerName": "Worker Evidence Union", "iconAsset": "/storefront/v2/icons/category-002-candidate-05.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": "HumanLift Ledger is a fictional worker-governed evidence service for supervised machine work. Workers record the moments when they correct, restart, calm, repair or complete work that a supplier calls automated. Protected samples are checked against job receipts and linked to the exact machine version and workflow. Buyers see the real rescue hours and safety burden behind each claim, while worker identities are minimised. A pattern of hidden rescue can trigger an outside retest instead of disappearing into private feedback.", "rating": 4.6, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "RepairCrewLuz", "title": "Invisible work became evidence", "body": "Our fixes had been treated as normal noise. The audited ledger proved the machine's success rate depended on hours of skilled rescue.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "UnionRepNorth", "title": "Protection must come first", "body": "The tool is promising, but we would not use it until our agreement clearly prevents managers tracing reports back to individual workers.", "stars": 2, "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": 8, "rangeAcrossWeights": [ 3, 9 ], "dominantWorldIds": [ "W01" ], "whyAboveNext": "It ranks above Hardcase Assembly because it captures evidence continuously from the people doing the rescue, while a representative hard-case repository has slower governance and a less direct path to each buying decision.", "whyThisPosition": "It ranks eighth because the social need is large, delivery is feasible and it corrects a serious blind spot in supplier evidence. It scores lower on global breadth and trust because labour power, non-retaliation protection and worker representation differ sharply across the nine lenses. It also risks becoming a surveillance tool unless identity data is minimal and the service is genuinely worker-governed.", "couldMoveUpIf": "It could rise if worker agreements make rescue reporting paid, protected and able to expire a supplier's completion claim across major sectors.", "couldMoveDownIf": "It would fall if reporting exposes workers to retaliation, becomes management surveillance or cannot be checked against actual completed jobs.", "strongestCounterCase": "Strong unions, workplace safety regulators and existing incident systems could add machine-rescue fields with greater worker legitimacy and stronger enforcement than a standalone service.", "publishedChartAppearances": [ { "chart": "main", "rank": 8, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Count the human effort hidden behind an automated claim and give workers power to challenge it.", "whatItDoes": { "headline": "Worker-Run Rescue Ledger", "summary": "It gives workers a small shared vocabulary for recording machine rescue during paid work, protects the reports from managers and suppliers, and audits a sample against completed jobs. The result shows how much human effort made the outcome possible and which automation claims need retesting.", "steps": [ "Workers define rescue events, unsafe stops, unpaid effort and repair outcomes with an independent facilitator.", "A protected recorder links sampled interventions to the job claim and current system version without exposing individual workers to managers.", "A worker-governed review publishes aggregate completion, rescue, harm, recovery and retest evidence for buyers and accountable authorities." ], "outcome": "Workers and buyers receive a challengeable proof packet that counts the human labour required to make the claimed outcome true." }, "whyOnTheList": { "headline": "The people who rescue the system need standing in the proof.", "summary": "If machine supervision becomes a durable occupation by 2031, the people preventing failures may be the best source of evidence and the easiest source to erase. HumanLift Ledger makes their work visible at the point where a completion claim is bought. Repeated use is plausible because rescue patterns change after software, staffing and workflow updates, even when the headline product name stays the same.", "why2031Not2026": "Workers can report incidents and workload today, but those records rarely become version-linked evidence that can suspend a machine completion claim. The forecast depends on protected rescue reporting becoming recognised, paid safety work with a formal route into outside testing and buying decisions.", "worldShifts": [ { "shift": "W01 normalises supervised machine work, making human intervention both essential to safety and easy to erase from supplier performance claims.", "causalChain": [ "Completion claims are drawn from system activity while repair happens in side channels.", "Uncounted rescue shifts cost and risk onto workers and misleads buyers.", "Worker-governed sampling makes the hidden dependency observable and triggers a fresh outside test or pause." ], "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "EWF-07" ], "worldIds": [ "W01" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "Rescue patterns change after every workflow, staffing and system update." }, "futureDistance": { "cutoffBaseline": "In 2026, workers can report incidents and survey workload, but rescue is not routinely linked to versioned machine completion claims and retest power.", "structuralDifference2031": "Workers become a protected evidence principal whose records can expire an automation claim and commission outside retesting.", "essential2031Conditions": [ "Machine supervision becomes a durable job role and hidden rescue materially props up widely purchased completion claims." ], "notJustBetterAI": "The structural change is worker standing, paid evidence work and retest power, not model performance.", "failureCondition": "If machine use stays assistive and rescue remains ordinary visible task work, existing incident and workload systems are enough." }, "howItCouldBeBuilt": { "overview": "A worker-governed service uses a minimal rescue vocabulary, protected reporting, sampled job receipts and an independent audit trail.", "components": [ { "name": "Protected rescue capture", "plainLanguageRole": "Lets a worker record intervention, delay, harm and repair with minimal identifying data." }, { "name": "Worker evidence council", "plainLanguageRole": "Approves definitions, reviews aggregates and commissions outside retests." } ], "dependencies": [ { "kind": "institutional", "name": "Enforceable non-retaliation and paid reporting time", "plainLanguageRole": "Allows rescue evidence to exist without making the worker bear new risk and cost.", "causalRequirement": "Major supervised-work agreements can recognise rescue reporting as paid safety work.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W01" ], "ifMissing": "Do not collect identifiable live records; publish only a survey-based warning with weak scope." } ], "hardestPart": "Creating useful evidence without exposing the very workers who reveal unsafe dependence.", "whatCouldBeSimpler": "Anonymous periodic worker surveys." }, "harmsAndFailure": { "whoBenefits": [ "Counts hidden human rescue", "Gives workers a route to trigger retesting" ], "warnings": [ "Workers at risk of retaliation", "Small employers facing setup costs" ], "waysItCouldFail": [ "Re-identification", "Reporting burden", "Conflict over what counts as rescue" ], "abuseRisks": [ "Managers infer reporters from timestamps", "Suppliers dismiss unrecorded rescue", "A worker body suppresses minority reports" ], "safeguards": [ "Aggregation thresholds and delayed reporting", "Paid capture time and independent sampling", "Minority statements and outside appeal" ], "whenItMustStop": "Stop collection on retaliation, re-identification or data access outside the agreed worker governance." }, "rankExplanation": { "whyThisRank": "It ranks eighth because the social need is large, delivery is feasible and it corrects a serious blind spot in supplier evidence. It scores lower on global breadth and trust because labour power, non-retaliation protection and worker representation differ sharply across the nine lenses. It also risks becoming a surveillance tool unless identity data is minimal and the service is genuinely worker-governed.", "sourceWhyAboveNext": "It ranks above Hardcase Assembly because it captures evidence continuously from the people doing the rescue, while a representative hard-case repository has slower governance and a less direct path to each buying decision.", "plainEnglishWhyAboveNext": "It ranks above Hardcase Assembly because it captures evidence continuously from the people doing the rescue, while a representative hard-case repository has slower governance and a less direct path to each buying decision.", "couldMoveUpIf": "It could rise if worker agreements make rescue reporting paid, protected and able to expire a supplier's completion claim across major sectors.", "couldMoveDownIf": "It would fall if reporting exposes workers to retaliation, becomes management surveillance or cannot be checked against actual completed jobs.", "basis": "design-inference", "evidenceIds": [ "src-metr-long-tasks-2025", "EWF-07", "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": [ "W01" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 4, "needScale": 5, "globalBreadth": 4, "marketplaceClarity": 5, "deliveryReadiness2031": 4, "trustAndSafety": 4, "total": 87 }, "evidenceAnchors": [ { "statement": "The bound evidence cautions that bounded machine performance and demonstrations do not establish dependable completion across longer real work.", "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "EWF-07" ], "worldIds": [ "W01" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "Fit varies with state rules, employment form and worker representation.", "evidenceIds": [ "SC-R01", "SC-R02" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Identity and reporting arrangements require local evidence of independent correction.", "evidenceIds": [ "SC-R05", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "Data rights and human alternatives support the concept, but labour implementation varies.", "evidenceIds": [ "SC-R03", "SC-R04" ] }, { "geographyId": "india", "fit": "unknown", "explanation": "The packet does not establish region-specific non-retaliation and transfer evidence.", "evidenceIds": [] }, { "geographyId": "japan-and-republic-of-korea", "fit": "unknown", "explanation": "Local worker-governance evidence for this service is absent.", "evidenceIds": [] }, { "geographyId": "gulf-technology-economies", "fit": "unknown", "explanation": "Migrant-worker protection and independent reporting need direct local evidence.", "evidenceIds": [] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Country-specific worker and community rights make local governance essential.", "evidenceIds": [ "SC-R21", "SC-R22" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "National institutions, informal work and connectivity affect safe reporting.", "evidenceIds": [ "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "conditional", "explanation": "Local norms, employment structures and human fallback require separate implementation.", "evidenceIds": [ "src-asean-ai-governance-guide-2024", "src-un-sids-digital-foundations" ] } ], "scenarioFit": [ { "worldId": "W01", "fit": "strong", "reason": "A supervised-work settlement makes hidden human rescue a recurring source of misleading completion claims." } ], "resolutionCriteria": [ "Sampled rescue records can be linked to a job claim without identifying reporters to managers.", "A material rescue pattern triggers an outside retest or accountable pause.", "Workers can correct, export or withdraw personal evidence and see published corrections." ] }, "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": [] }, "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": "EWF-07", "title": "METR, Impact of Early-2025 AI on Experienced Open-Source Developer Productivity", "publisher": "METR", "url": "https://metr.org/blog/2025-07-10-early-2025-ai-experienced-os-dev-study/", "publishedAt": "2026-02-24", "accessedAt": "2026-08-01", "limitations": "Narrow sample, repositories and tool vintage; the follow-up says newer-tool estimates were selection-biased and only very weak evidence about the size of any improvement.", "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": [] }