{
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  "namespace": "appstore2031/storefront/v2",
  "editionId": "2031-2026-08-02",
  "candidateId": "category-001-candidate-01",
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  "fiction": {
    "name": "RemedySwitch",
    "developerName": "Civic Circuit",
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      "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."
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    "storeDescription": "RemedySwitch is the emergency brake for serious decisions made through automated systems. Open one case, bring together the machine's record and your evidence, and reach a qualified person with real permission to pause the action. They explain what happened, coordinate corrections across providers and stay responsible until there is a practical result or independent appeal. RemedySwitch also shows when its human team is overloaded, so a promise of human review cannot quietly become another dead queue.",
    "rating": 4.8,
    "ratingLabel": "imagined 2031 rating",
    "reviews": [
      {
        "reviewerAlias": "MinaR2031",
        "title": "A real person finally owned it",
        "body": "My housing payment was frozen by a linked decision. The duty reviewer paused the deadline, found the wrong record and stayed on the case until it was corrected.",
        "stars": 5,
        "stance": "benefit",
        "fictionalDisclosure": true
      },
      {
        "reviewerAlias": "NorthLineDad",
        "title": "Useful, but the urgent queue slipped",
        "body": "The status was honest and much better than a support bot, but our promised two-hour human call took nearly five during a regional surge.",
        "stars": 3,
        "stance": "critical",
        "fictionalDisclosure": true
      }
    ]
  },
  "category": {
    "id": "category-001",
    "name": "Qualified Human Help and Service Repair",
    "plainLanguageDefinition": "Gets a serious case to a qualified person who can act, then repairs staffing and caseloads so human help stays reachable over time. It records what the machine did, who can pause or correct it, and whether real service results improve.",
    "recurringBrowsePurpose": "An affected person or frontline worker needing a qualified human response, or a service leader, commissioner, worker body or public body responsible for restoring enough staff to finish cases safely.",
    "completion": {
      "trigger": "A consequential case lacks a qualified human owner, or evidence shows that an automated front door has reduced staffing, human contact, response, continuity or completed outcomes.",
      "boundedWork": "Package machine limits, evidence and overrides; transfer the case to a named qualified person and track the outcome; measure staffing, retention, caseloads, offline contact, complaints, failed handoffs, crises, subgroup results and exits; then restore funded trained staff or pause the automated route when human service falls.",
      "observableDone": "A record names the responsible person, machine limits, evidence and overrides. Callers reach a qualified person without proving harm or repeating their story; that person can pause, correct and finish the response within the local urgent time. Funded retained staff and workable caseloads sustain contact, groups, care, handoffs and appeal. Synthetic contact explains its limits, data use and alternatives. Results by group show response, cases, crises, exits and dependence improving over time; staff or supply limits are recorded."
    }
  },
  "rank": {
    "mainChartPosition": 1,
    "rangeAcrossWeights": [
      1,
      3
    ],
    "dominantWorldIds": [
      "W01"
    ],
    "whyAboveNext": "RemedySwitch can stop and repair the original consequential action even when only one operator is involved. RemedyWeave at number 2 becomes essential when several suppliers share the failure, but that is a narrower starting condition.",
    "whyThisPosition": "It ranks first because the need could recur across health, work, finance, education and public services, while the finish is unusually clear: a named authorised human either repairs the outcome or transfers a complete record to independent appeal. Its 2031 dependence on widespread consequential automation gives it strong future distance without requiring magical technology.",
    "couldMoveUpIf": "It is already first; its lead would grow if laws require timed human review, recorded stop power and capacity reporting across major sectors.",
    "couldMoveDownIf": "It would fall if providers build effective evidence-rich human review directly into every service or if reviewers lack enforceable power to pause actions.",
    "strongestCounterCase": "Regulation may make every provider supply effective human review itself, leaving a shared command service with duplicated responsibility, extra sensitive data and no distinct reason to exist.",
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  },
  "salesPromise": "Challenge a machine-made decision and reach a qualified human who can stop it, explain it and put the result right.",
  "whatItDoes": {
    "headline": "A human command desk for decisions that cannot safely wait",
    "summary": "It turns a disputed high-impact machine action into one tracked case, finds a qualified human with the power and time to act, and records the pause, explanation, correction and appeal route.",
    "steps": [
      "Capture the disputed action, the machine's stated limits, the evidence it used, and the caller's preferred contact route without making the caller repeat the whole story.",
      "Match the case to a named qualified reviewer with real stop power, a workload check, and a deadline based on urgency.",
      "Let that reviewer pause the action, correct records, coordinate suppliers, and record the reason for the final response.",
      "Confirm the remedy with the affected person and measure whether response, repeat failure, and subgroup outcomes improve."
    ],
    "outcome": "The case ends with a named responsible person, a recorded decision and override trail, a practical remedy, and an independent route for unresolved appeal."
  },
  "whyOnTheList": {
    "headline": "Human responsibility needs operational power, not a ceremonial approval click",
    "summary": "This is the clearest answer to a central 2031 problem: organisations may automate thousands of important actions while people still carry legal and moral responsibility. RemedySwitch is not a chatbot or a complaint form. Its product is verifiable human command capacity, including evidence access, workload limits, stop power and a completed repair.",
    "why2031Not2026": "Escalation desks exist in 2026, but they rarely combine machine-readable decision records, live qualified capacity, delegated stop authority, cross-supplier repair and public proof that outcomes improve. That combination becomes much more necessary if consequential machine-assisted decisions are routine by 2031.",
    "worldShifts": [
      {
        "shift": "By 2031, machine-assisted high-impact work can be routine while responsibility still rests with people and public bodies.",
        "causalChain": [
          "Routine automation increases the number of consequential actions that can fail at machine speed.",
          "A named human cannot be accountable if evidence, time, skill, or stop power is missing.",
          "A staffed command desk connects the case record to a qualified reviewer and gives that reviewer bounded repair tools.",
          "Outcome and workload measurement exposes whether the human route works in practice rather than only on paper."
        ],
        "basis": "measured-trend",
        "evidenceIds": [
          "AC-06",
          "src-international-ai-safety-report-2026"
        ],
        "worldIds": [
          "W01"
        ],
        "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts."
      }
    ],
    "whyRepeatedUse": "The service is called for each serious dispute and continuously uses the resulting workload and failure data to keep enough reviewers available."
  },
  "futureDistance": {
    "cutoffBaseline": "In 2026, escalation desks and human-review promises exist, but they rarely join machine limits, live reviewer capacity, stop authority, cross-supplier repair, and subgroup outcome proof.",
    "structuralDifference2031": "The product sells verifiable human command capacity across routine machine-mediated decisions, not a support queue attached to one system.",
    "essential2031Conditions": [
      "Consequential machine-assisted decisions are common enough that organisations need continuous cross-system human command capacity.",
      "Rules or contracts make evidence access, timed human response, and recorded stop authority operational requirements."
    ],
    "notJustBetterAI": "More accurate AI would not remove the need because the service exists to locate legitimate authority, carry responsibility, and repair contested real-world outcomes.",
    "failureCondition": "If ordinary sector teams can already provide timely evidence-rich review and cross-supplier repair without shared standby capacity, this is only a repackaged escalation desk."
  },
  "howItCouldBeBuilt": {
    "overview": "Build a case-transfer layer around existing professional and public decision systems, with workload-aware routing, evidence packaging, response clocks, and repair tracking.",
    "components": [
      {
        "name": "Review command record",
        "plainLanguageRole": "Keeps the machine limits, source evidence, human reasons, overrides, contacts, deadlines, and remedies in one understandable record."
      },
      {
        "name": "Qualified reviewer roster",
        "plainLanguageRole": "Routes each case only to a person with the right skill, current capacity, and power to act."
      }
    ],
    "dependencies": [
      {
        "kind": "institutional",
        "name": "Enforceable reviewer authority",
        "plainLanguageRole": "Lets the assigned human pause an automated action and require correction before harm continues.",
        "causalRequirement": "Contracts and sector rules can require named stop power, evidence access, and timed response for high-impact routes.",
        "necessity": "essential",
        "basis": "design-inference",
        "evidenceIds": [],
        "worldIds": [
          "W01"
        ],
        "ifMissing": "The desk becomes a message-taking service and must not claim to provide accountable review."
      }
    ],
    "hardestPart": "Giving a qualified person enough time and real authority to repair the outcome while keeping legal and professional duties with the proper external body.",
    "whatCouldBeSimpler": "A staffed telephone escalation line with manual supplier coordination."
  },
  "harmsAndFailure": {
    "whoBenefits": [
      "Faster access to a qualified human with enough information and authority to repair a consequential outcome.",
      "Visible workload and subgroup results that reveal when a nominal human route is failing."
    ],
    "warnings": [
      "People with urgent cases, limited digital access, language barriers, disabilities, or histories spread across several suppliers.",
      "Junior reviewers who may receive legal blame without enough skill, time, evidence, or stop power."
    ],
    "waysItCouldFail": [
      "A trusted desk could create false reassurance while cases wait in an overloaded queue.",
      "Central records could expose sensitive information or make surveillance easier."
    ],
    "abuseRisks": [
      "An operator could route only easy cases to the desk and hide difficult failures.",
      "A malicious caller or insider could use urgent status to obtain records or harass a reviewer."
    ],
    "safeguards": [
      "Publish queue, abandonment, subgroup, override, and remedy measures with independent sampling of rejected cases.",
      "Use minimum necessary records, role-based access, tamper evidence, identity checks, and protected worker contact details.",
      "Set workload ceilings and automatically pause new automated actions when qualified response capacity is exhausted."
    ],
    "whenItMustStop": "Stop accepting claims of live human review when the qualified roster, evidence feed, or appeal export fails; tell callers what failed and open the offline route."
  },
  "rankExplanation": {
    "whyThisRank": "It ranks first because the need could recur across health, work, finance, education and public services, while the finish is unusually clear: a named authorised human either repairs the outcome or transfers a complete record to independent appeal. Its 2031 dependence on widespread consequential automation gives it strong future distance without requiring magical technology.",
    "sourceWhyAboveNext": "RemedySwitch can stop and repair the original consequential action even when only one operator is involved. RemedyWeave at number 2 becomes essential when several suppliers share the failure, but that is a narrower starting condition.",
    "plainEnglishWhyAboveNext": "RemedySwitch can stop and repair the original consequential action even when only one operator is involved. RemedyWeave at number 2 becomes essential when several suppliers share the failure, but that is a narrower starting condition.",
    "couldMoveUpIf": "It is already first; its lead would grow if laws require timed human review, recorded stop power and capacity reporting across major sectors.",
    "couldMoveDownIf": "It would fall if providers build effective evidence-rich human review directly into every service or if reviewers lack enforceable power to pause actions.",
    "basis": "design-inference",
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      "src-international-ai-safety-report-2026",
      "AC-25",
      "EWF-20",
      "AC-27",
      "SC-R05",
      "AC-30",
      "src-eu-gpai-act-qa",
      "AC-33",
      "EWF-05",
      "RSM-02",
      "SC-R10",
      "AC-39",
      "src-uae-ai-strategy-2031",
      "AC-38",
      "src-eclac-ilia-2025",
      "AC-36",
      "EWF-18",
      "E18",
      "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": 5,
      "needScale": 5,
      "globalBreadth": 5,
      "marketplaceClarity": 5,
      "deliveryReadiness2031": 4,
      "trustAndSafety": 4,
      "total": 95
    },
    "evidenceAnchors": [
      {
        "statement": "Bound evidence describes short dependable machine-task horizons and uneven transfer from controlled tasks to real settings, supporting the need for qualified human control.",
        "basis": "measured-trend",
        "evidenceIds": [
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          "src-international-ai-safety-report-2026"
        ],
        "worldIds": [
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        ]
      }
    ],
    "regionalVariation": [
      {
        "geographyId": "united-states",
        "fit": "conditional",
        "explanation": "Fit depends on state and sector rules giving reviewers real authority and preventing rapid substitution from hollowing out the human roster.",
        "evidenceIds": [
          "AC-25",
          "EWF-20"
        ]
      },
      {
        "geographyId": "mainland-china",
        "fit": "conditional",
        "explanation": "Targeted public support could fund capacity, but local fiscal and migrant-access gaps may make qualified review uneven.",
        "evidenceIds": [
          "AC-27",
          "SC-R05"
        ]
      },
      {
        "geographyId": "european-union",
        "fit": "present",
        "explanation": "Rights, switching, and court routes support the model, although member-state capacity and remedy speed remain uneven.",
        "evidenceIds": [
          "AC-30",
          "src-eu-gpai-act-qa"
        ]
      },
      {
        "geographyId": "india",
        "fit": "conditional",
        "explanation": "Assisted identity and offline access can widen reach, but state capacity and informal access determine whether review is practical.",
        "evidenceIds": [
          "AC-33",
          "EWF-05"
        ]
      },
      {
        "geographyId": "japan-and-republic-of-korea",
        "fit": "present",
        "explanation": "Labour scarcity strengthens the case for automation and also makes funded human complements and workload limits indispensable.",
        "evidenceIds": [
          "RSM-02",
          "SC-R10"
        ]
      },
      {
        "geographyId": "gulf-technology-economies",
        "fit": "conditional",
        "explanation": "Strong digital programmes can support delivery, but non-citizen access and independent appeal rights must be explicit.",
        "evidenceIds": [
          "AC-39",
          "src-uae-ai-strategy-2031"
        ]
      },
      {
        "geographyId": "latin-america",
        "fit": "conditional",
        "explanation": "The route could protect people as formal cognitive work contracts, but funding and country-level remedy capacity are uncertain.",
        "evidenceIds": [
          "AC-38",
          "src-eclac-ilia-2025"
        ]
      },
      {
        "geographyId": "africa",
        "fit": "conditional",
        "explanation": "Regional bargaining and assisted access can help, while connectivity, national ownership, and trained supply remain limiting.",
        "evidenceIds": [
          "AC-36",
          "EWF-18"
        ]
      },
      {
        "geographyId": "other-material-paths",
        "fit": "unknown",
        "explanation": "Portable rights and host compensation are too uneven to assume a reachable accountable reviewer across all remaining paths.",
        "evidenceIds": [
          "E18",
          "src-un-sids-digital-foundations"
        ]
      }
    ],
    "scenarioFit": [
      {
        "worldId": "W01",
        "fit": "strong",
        "reason": "The service is native to a world where machine assistance is routine but people remain legally responsible and need operational stop and repair power."
      }
    ],
    "resolutionCriteria": [
      "At least 90 percent of urgent accepted cases reach a qualified person within the locally promised urgent time.",
      "Every completed case records the reviewer, evidence considered, authority used, decision, remedy, appeal route, and caller confirmation.",
      "Independent audits show improved response and repair outcomes without worse results for digitally excluded or otherwise exposed groups.",
      "No operator may market live human control during a period when measured capacity falls below the published safe threshold."
    ]
  },
  "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-level collision screen, not a complete registry search, trademark opinion or legal clearance. Search engines can miss products, private services, regional uses, recent launches and non-Latin-script equivalents. A no-material-collision-found verdict means only that this bounded search did not expose a material exact-name use.",
    "closestMatches": [
      {
        "title": "If a fault occurs, first check the points listed below before taking the set for repair",
        "url": "https://www.documents.philips.com/assets/20231202/2818b6ff732c4415b6f2b0cc01135289.pdf",
        "reason": "The search result joins adjacent words from appliance instructions as REMEDYSwitch. It does not identify RemedySwitch as an app, software product or company name."
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  "evidenceReferences": [
    {
      "kind": "source",
      "id": "AC-06",
      "title": "METR Task-Completion Time Horizons",
      "publisher": "unknown",
      "url": "https://metr.org/time-horizons/",
      "publishedAt": "2026-05-08",
      "accessedAt": "2026-08-01",
      "limitations": "The metric is human task-equivalent difficulty, not elapsed autonomous runtime; suite coverage is limited",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Other/unspecified",
        "unknown"
      ]
    },
    {
      "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-25",
      "title": "America's AI Action Plan",
      "publisher": "unknown",
      "url": "https://www.whitehouse.gov/releases/2025/07/white-house-unveils-americas-ai-action-plan/",
      "publishedAt": "2025-07-23",
      "accessedAt": "2026-08-01",
      "limitations": "Political plan, not evidence of implementation or outcomes",
      "evidenceClass": "policy-intent",
      "geographies": [
        "United States",
        "United States/North America"
      ]
    },
    {
      "kind": "source",
      "id": "EWF-20",
      "title": "FTC, AI Partnerships & Investments Study",
      "publisher": "FTC",
      "url": "https://www.ftc.gov/news-events/news/press-releases/2025/01/ftc-issues-staff-report-ai-partnerships-investments-study",
      "publishedAt": "2025-01-17",
      "accessedAt": "2026-08-01",
      "limitations": "Examines a small set of partnerships through 2025-01; identifies risks, not adjudicated violations.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Global",
        "United States",
        "Global/international",
        "United States/North America",
        "Global / United States"
      ]
    },
    {
      "kind": "source",
      "id": "AC-27",
      "title": "State Council “AI Plus” opinion",
      "publisher": "unknown",
      "url": "https://big5.www.gov.cn/gate/big5/www.gov.cn/zhengce/content/202508/content_7037861.htm",
      "publishedAt": "2025-08-26",
      "accessedAt": "2026-08-01",
      "limitations": "The percentage is a government target whose definition and measurement are not yet independently established",
      "evidenceClass": "policy-intent",
      "geographies": [
        "China"
      ]
    },
    {
      "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": "AC-30",
      "title": "Navigating the AI Act",
      "publisher": "unknown",
      "url": "https://digital-strategy.ec.europa.eu/en/faqs/navigating-ai-act",
      "publishedAt": "2026-07-27",
      "accessedAt": "2026-08-01",
      "limitations": "Implementation and enforcement outcomes remain unobserved at cutoff",
      "evidenceClass": "policy-intent",
      "geographies": [
        "European Union",
        "Europe/EU"
      ]
    },
    {
      "kind": "source",
      "id": "src-eu-gpai-act-qa",
      "title": "General-Purpose AI Models in the AI Act - Questions & Answers",
      "publisher": "European Commission",
      "url": "https://digital-strategy.ec.europa.eu/en/faqs/general-purpose-ai-models-ai-act-questions-answers",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-02",
      "limitations": "The official page did not expose a clear publication date; it was accessed on 2026-08-02. Legal systemic-risk thresholds and duties do not predict capability or enforcement capacity.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "eu"
      ]
    },
    {
      "kind": "source",
      "id": "AC-33",
      "title": "Digital India and IndiaAI shared compute",
      "publisher": "unknown",
      "url": "https://www.pib.gov.in/PressReleasePage.aspx?PRID=2278453&lang=1&reg=48",
      "publishedAt": "2026-06-27",
      "accessedAt": "2026-08-01",
      "limitations": "Government-reported counts do not equal frontier-equivalent or fully utilised compute",
      "evidenceClass": "measured-trend",
      "geographies": [
        "India"
      ]
    },
    {
      "kind": "source",
      "id": "EWF-05",
      "title": "ILO/World Bank, Disruption without dividend?",
      "publisher": "ILO/World Bank",
      "url": "https://www.ilo.org/publications/disruption-without-dividend-how-digital-divide-and-task-differences-split",
      "publishedAt": "2026-03-17",
      "accessedAt": "2026-08-01",
      "limitations": "Internet access is a necessary but insufficient proxy for productive use; occupational structures will change.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Multi-country",
        "Other/unspecified"
      ]
    },
    {
      "kind": "source",
      "id": "RSM-02",
      "title": "Global Robot Density in Factories Doubled in Seven Years",
      "publisher": "IFR",
      "url": "https://ifr.org/ifr-press-releases/news/robot-density-surges-in-europe-asia-and-americas",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-01",
      "limitations": "Density is a stock-to-employment ratio, not a measure of autonomous task coverage or productivity",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Global",
        "Global/international"
      ]
    },
    {
      "kind": "source",
      "id": "SC-R10",
      "title": "Survey on people's connections, 2024 results",
      "publisher": "Cabinet Office of Japan",
      "url": "https://www.cao.go.jp/kodoku_koritsu/pdf/shiryou5.pdf",
      "publishedAt": "2025-04-25",
      "accessedAt": "2026-08-02",
      "limitations": "Self-reported cross-sectional survey; the response rate and Japanese wording matter; it cannot establish causes.",
      "evidenceClass": "measured-trend",
      "geographies": [
        "Japan"
      ]
    },
    {
      "kind": "source",
      "id": "AC-39",
      "title": "Stargate UAE in planned 5 GW campus",
      "publisher": "unknown",
      "url": "https://www.mediaoffice.abudhabi/en/technology/global-tech-alliance-launches-stargate-uae/",
      "publishedAt": "2026-04-27",
      "accessedAt": "2026-08-01",
      "limitations": "Promotional sources; announced partners and capacity are not assured delivery",
      "evidenceClass": "measured-trend",
      "geographies": [
        "United Arab Emirates",
        "Saudi Arabia",
        "Middle East/Gulf",
        "United Arab Emirates / Saudi Arabia"
      ]
    },
    {
      "kind": "source",
      "id": "src-uae-ai-strategy-2031",
      "title": "UAE National Strategy for Artificial Intelligence 2031",
      "publisher": "United Arab Emirates Government",
      "url": "https://ai.gov.ae/wp-content/uploads/2023/05/AI-Report-EN-v4.pdf",
      "publishedAt": "undated-at-access",
      "accessedAt": "2026-08-02",
      "limitations": "The official PDF did not expose a reliable publication date; it was accessed on 2026-08-02. Leadership goals and priority sectors are policy intent, not proof of outcomes.",
      "evidenceClass": "policy-intent",
      "geographies": [
        "gulf"
      ]
    }
  ],
  "rankingIndexPath": "rankings/category-001/index.json",
  "sourceReceipts": []
}
