{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-003-candidate-02", "canonicalCandidateSha256": "70a058485fcaea50768bd4780887fe33efa5bc236e255cf1921f35ba76553433", "fictionalDisclosure": true, "fiction": { "name": "MemoryLifeboat", "developerName": "Second Start Systems", "iconAsset": "/storefront/v2/icons/category-003-candidate-02.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": "MemoryLifeboat is a forecast exit lane for years of AI-held context. It lays out remembered preferences, projects, relationships and disputed guesses in plain language. You choose a small package, ask other people before moving shared memories, and preview how a new provider will use it inside a sandbox. If the move works, the app tests whether unwanted history was deleted later. If it fails, you can return, correct the package or start clean.", "rating": 4.5, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "FreshStartNotBlank", "title": "Kept the useful five percent", "body": "I moved my accessibility preferences and active projects, but left years of emotional guesses behind. The preview showed exactly what the new assistant would see.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "SharedMemoryQuestion", "title": "Consent took longer than the move", "body": "Several work memories involved other people, so the app paused them for permission. That was responsible, but the package became much less useful.", "stars": 3, "stance": "critical", "fictionalDisclosure": true } ] }, "category": { "id": "category-003", "name": "Portable Records, Status and Memory", "plainLanguageDefinition": "Forecast services that help people move only the records, earned status and memories they choose, correct errors across providers, and keep urgent access open while a transfer or dispute is finished.", "recurringBrowsePurpose": "A person moving, refusing, switching or correcting a record that affects access or status, or an external regulator or public-interest body testing whether those routes really work.", "completion": { "trigger": "A move, refusal, mismatch, provider exit, market test or memory change threatens to trap useful history, spread an error, block urgent access or make switching impossible.", "boundedWork": "Show the relevant record, source and reason; let the caller select what moves; verify underlying achievement where needed; test receiving and switching routes; separate system use from status effects; keep urgent document-light or offline access and lawful income open; support timed human correction and outside review; and test deletion, leftover copies and unwanted return pressure.", "observableDone": "The receiving route accepts independently checkable proof; the person sees which facts mattered, moves only chosen history, corrects errors and finishes outside review. Urgent access, lawful income and unrelated rights continue during a refusal or dispute. Timed tests expose failed provider entry, switching, appeal, non-user access or deletion, and any failure names a responsible external owner and correction route." } }, "rank": { "mainChartPosition": 7, "rangeAcrossWeights": [ 5, 8 ], "dominantWorldIds": [ "W03" ], "whyAboveNext": "It outranks StewardMesh because a self-serve memory move could serve many repeated provider trials, while accountable neighbourhood re-verification depends on a slower local steward network.", "whyThisPosition": "MemoryLifeboat is one of the clearest products in the set and strongly reflects a possible 2031 enclosure problem. It ranks seventh because the scale depends on durable AI memory becoming both valuable and difficult to recreate. Consent for memories involving family, colleagues or clients also creates hard limits that an attractive interface cannot solve alone.", "couldMoveUpIf": "It could rise sharply if durable AI memory becomes a major source of service quality, income access and relationship continuity.", "couldMoveDownIf": "It would fall if short summaries work well, providers standardise safe export and deletion, or most people prefer a clean restart.", "strongestCounterCase": "Memory export and deletion may become ordinary account settings, and users may find that a short human-written profile transfers the useful context without an independent service.", "publishedChartAppearances": [ { "chart": "main", "rank": 7, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Leave your old AI without losing the memories that help—or dragging every private moment into the next one.", "whatItDoes": { "headline": "A selective memory exit lane", "summary": "MemoryLifeboat inventories what an AI provider remembers, helps you choose a safe and understandable subset, previews it with a new provider and checks old-provider deletion after the move.", "steps": [ "The service separates verified achievements, chosen preferences, relationship notes, and inferred behaviour into clearly labelled groups.", "The person previews each item, removes unwanted history, and asks people named in shared memories before moving their information.", "A neutral relay sends only the approved package and tests how the new system interprets it.", "The relay checks deletion at the old provider and watches for unwanted memory returning through connected services." ], "outcome": "The new provider starts with a small, intelligible memory chosen by the person, while disputed or unwanted history stays behind and has a correction trail." }, "whyOnTheList": { "headline": "Deep machine memory can make exit technically possible but socially and economically unrealistic.", "summary": "By 2031, durable machine memory could shape work offers, service treatment and relationships strongly enough that starting again is not a real choice. That is a different problem from exporting chat logs. MemoryLifeboat makes the list because it treats memory as something to inspect, edit, obtain shared consent for, test at the destination and delete at the source. The outcome is a usable new start, not a giant mystery file.", "why2031Not2026": "People can copy prompts, summaries and account exports today. This becomes a future-native service only when years of structured AI memory materially affect treatment and switching, and both old and new providers expose testable import and deletion routes.", "worldShifts": [ { "shift": "In 2031, enclosed AI providers can hold durable context that shapes work offers, service treatment, and trusted relationships.", "causalChain": [ "Long-running assistants accumulate useful context and uncertain inferences.", "That context raises the cost of starting again with a competing provider.", "A selective, interpretable transfer preserves chosen continuity while leaving hidden scoring behind.", "Deletion and return-pressure tests make exit observable rather than ceremonial." ], "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "Memory changes continuously, so people would use the service for provider trials, periodic clean-ups, relationship changes, and final exit." }, "futureDistance": { "cutoffBaseline": "In 2026, users can copy prompts, download account data, or write a profile summary, but cannot reliably preview imported memory or test delayed deletion.", "structuralDifference2031": "Years of provider-held memory become an economic and relational asset that can determine whether a person can realistically switch.", "essential2031Conditions": [ "Durable AI memory materially affects access, work, or relationships across repeated use.", "Receiving providers can interpret structured memory and old providers can be externally tested after exit." ], "notJustBetterAI": "The product depends on memory becoming a provider-controlled switching barrier, not on a smarter model or nicer export screen.", "failureCondition": "If people can restart cheaply with short summaries and provider memory has little effect on treatment, the relay is not a top 2031 product." }, "howItCouldBeBuilt": { "overview": "Combine a memory inventory, provenance labels, shared-person consent, a receiving sandbox, and delayed deletion tests.", "components": [ { "name": "Memory sorter", "plainLanguageRole": "Separates explicit facts, verified achievements, shared relationship notes, and uncertain inferences." }, { "name": "Receiving sandbox", "plainLanguageRole": "Shows how a new system will use the package before it becomes active." } ], "dependencies": [ { "kind": "market-and-technical", "name": "Interpretable memory export and import", "plainLanguageRole": "Makes individual memory items reviewable and lets a receiving system prove how each item changes treatment.", "causalRequirement": "Large providers support item-level exports, isolated imports, and machine-readable provenance under external testing.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ], "ifMissing": "The relay can help a person start over but cannot promise continuity or safe selective transfer." } ], "hardestPart": "Proving that an exited memory is neither silently retained nor rebuilt from connected data.", "whatCouldBeSimpler": "A human-written profile summary copied into a new assistant." }, "harmsAndFailure": { "whoBenefits": [ "Lower switching costs, less forced surveillance transfer, and more understandable control over durable machine memory." ], "warnings": [ "People named in shared memories, abuse survivors hiding relationships, workers under monitoring, and people with limited digital access." ], "waysItCouldFail": [ "A transfer preview may expose sensitive history, and deletion claims may create false confidence." ], "abuseRisks": [ "An employer or partner could coerce a full export, or a receiving provider could use the relay package to rebuild a hidden score." ], "safeguards": [ "Item-level selection, separate shared-person review, coercion warnings, neutral clinics, minimum retention, delayed tests, and exportable audit receipts." ], "whenItMustStop": "It stops a transfer when the destination, permission, or meaning of a memory item cannot be established." }, "rankExplanation": { "whyThisRank": "MemoryLifeboat is one of the clearest products in the set and strongly reflects a possible 2031 enclosure problem. It ranks seventh because the scale depends on durable AI memory becoming both valuable and difficult to recreate. Consent for memories involving family, colleagues or clients also creates hard limits that an attractive interface cannot solve alone.", "sourceWhyAboveNext": "It outranks StewardMesh because a self-serve memory move could serve many repeated provider trials, while accountable neighbourhood re-verification depends on a slower local steward network.", "plainEnglishWhyAboveNext": "It outranks StewardMesh because a self-serve memory move could serve many repeated provider trials, while accountable neighbourhood re-verification depends on a slower local steward network.", "couldMoveUpIf": "It could rise sharply if durable AI memory becomes a major source of service quality, income access and relationship continuity.", "couldMoveDownIf": "It would fall if short summaries work well, providers standardise safe export and deletion, or most people prefer a clean restart.", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 5, "needScale": 4, "globalBreadth": 4, "marketplaceClarity": 5, "deliveryReadiness2031": 4, "trustAndSafety": 3, "total": 86 }, "evidenceAnchors": [ { "statement": "Selective memory transfer is a design inference for a concentrated 2031 cognitive-service market.", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "Competition and state privacy rules vary, so tested exit may be available unevenly.", "evidenceIds": [] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Provider integration may be strong, while independent review and cross-provider exit require specific authority.", "evidenceIds": [] }, { "geographyId": "european-union", "fit": "present", "explanation": "Portability and platform duties provide a plausible base, though shared-memory rules remain unsettled.", "evidenceIds": [] }, { "geographyId": "india", "fit": "conditional", "explanation": "Large-scale digital services help delivery, but language, device sharing, and state variation require assisted routes.", "evidenceIds": [] }, { "geographyId": "japan-and-republic-of-korea", "fit": "conditional", "explanation": "Advanced provider use supports the service, but concentrated ecosystems may resist interpretable export.", "evidenceIds": [] }, { "geographyId": "gulf-technology-economies", "fit": "conditional", "explanation": "Fast integrated services make transfer feasible; non-citizen remedy and employer pressure need safeguards.", "evidenceIds": [] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Country-specific privacy enforcement and informal work relationships shape safe adoption.", "evidenceIds": [] }, { "geographyId": "africa", "fit": "conditional", "explanation": "Low-bandwidth and assisted review must be first-class rather than fallback features.", "evidenceIds": [] }, { "geographyId": "other-material-paths", "fit": "unknown", "explanation": "Imported providers and small-state capacity create materially different exit and enforcement paths.", "evidenceIds": [] } ], "scenarioFit": [ { "worldId": "W03", "fit": "strong", "reason": "Concentrated providers with durable context make selective memory exit a structural need in the assigned world." } ], "resolutionCriteria": [ "The person moves a chosen subset and can explain every transferred item.", "A receiving preview shows item-level effects before activation.", "Delayed tests report deletion, leftover copies, and unwanted return pressure with named correction routes." ] }, "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 dated search screen, not a comprehensive company-register, domain, app-store or trademark search, and it is not legal or trademark clearance. Search indexing, geography and spelling variants can hide uses. A no-material-collision-found verdict means only that this bounded search did not reveal a material exact-name use in the returned results.", "closestMatches": [] }, "evidenceReferences": [ { "kind": "claim", "id": "source-claim-05f8efd8bb74797257ac", "statement": "Korea described a public-private AI Highway plan with more than 50,000 GPUs, a national computing centre outside the Seoul region, preference for renewable or carbon-free energy and fast-track power-system assessment.", "limitations": "Most capacity numbers are planned procurement or construction, not delivered service. A public-private centre does not imply unrestricted person-level access. The source is one national plan and should not be generalised to all of Asia.", "sourceIds": [ "PC-S10" ], "basis": "policy-intent", "geographies": [ "Republic of Korea" ] }, { "kind": "source", "id": "PC-S10", "title": "MSIT to Establish the National AI Computing Center as a Catalyst for Genuine Growth in AI", "publisher": "Ministry of Science and ICT, Republic of Korea", "url": "https://www.msit.go.kr/eng/bbs/view.do?bbsSeqNo=42&mId=4&mPid=2&nttSeqNo=1166&pageIndex=1&sCode=eng&searchOpt=ALL", "publishedAt": "2025-09-08", "accessedAt": "2026-08-02", "limitations": "Most capacity numbers are planned procurement or construction, not delivered service. A public-private centre does not imply unrestricted person-level access. The source is one national plan and should not be generalised to all of Asia.", "evidenceClass": "policy-intent", "geographies": [ "Republic of Korea" ] }, { "kind": "claim", "id": "source-claim-10866f7cba564b8c6d91", "statement": "Emerging and developing economies outside China had half of world internet users but less than 10% of data-centre capacity when the report was prepared.", "limitations": "The 2030 and 2035 figures are modelled scenarios, not promises. Data-centre electricity is not the whole environmental footprint of AI. The report does not show how capacity will be allocated to individual people or firms.", "sourceIds": [ "PC-S01" ], "basis": "measured-trend", "geographies": [ "global", "United States", "China", "Europe", "Japan", "Republic of Korea", "India", "Southeast Asia", "Africa" ] }, { "kind": "source", "id": "PC-S01", "title": "Energy and AI", "publisher": "International Energy Agency", "url": "https://www.iea.org/reports/energy-and-ai/", "publishedAt": "2025-04-10", "accessedAt": "2026-08-02", "limitations": "The 2030 and 2035 figures are modelled scenarios, not promises. Data-centre electricity is not the whole environmental footprint of AI. The report does not show how capacity will be allocated to individual people or firms.", "evidenceClass": "measured-trend", "geographies": [ "global", "United States", "China", "Europe", "Japan", "Republic of Korea", "India", "Southeast Asia", "Africa" ] }, { "kind": "claim", "id": "source-claim-174567d54c35b7311135", "statement": "The ministry also reported that two earlier calls for centre proposals had not selected an applicant, showing that announced capacity can meet commercial and governance obstacles.", "limitations": "Most capacity numbers are planned procurement or construction, not delivered service. A public-private centre does not imply unrestricted person-level access. The source is one national plan and should not be generalised to all of Asia.", "sourceIds": [ "PC-S10" ], "basis": "policy-intent", "geographies": [ "Republic of Korea" ] }, { "kind": "claim", "id": "source-claim-2c1c18de16305ad36716", "statement": "India reported 34,333 GPUs empanelled through industry partners for common cloud capacity, with published hourly bid prices across multiple accelerator types.", "limitations": "Empanelled capacity is not the same as continuously available capacity. GPU counts do not capture performance differences, networking, storage or software readiness. Government reporting is not evidence that every person can access every listed resource.", "sourceIds": [ "PC-S08" ], "basis": "measured-trend", "geographies": [ "India" ] }, { "kind": "source", "id": "PC-S08", "title": "India's Common Compute Capacity Crosses 34,000 GPUs", "publisher": "Press Information Bureau, Government of India", "url": "https://www.pib.gov.in/PressReleasePage.aspx?PRID=2132817&lang=1®=3", "publishedAt": "2025-05-30", "accessedAt": "2026-08-02", "limitations": "Empanelled capacity is not the same as continuously available capacity. GPU counts do not capture performance differences, networking, storage or software readiness. Government reporting is not evidence that every person can access every listed resource.", "evidenceClass": "measured-trend", "geographies": [ "India" ] }, { "kind": "claim", "id": "source-claim-36fccea1bab8c3398b14", "statement": "Japan's watt-bit work links data-centre growth with coordinated planning for electricity, telecommunications, location and decarbonisation.", "limitations": "The report states policy direction, not delivered capacity or a public scheduling interface. Moving computation is not always possible because latency, data residency and security matter. Private software cannot replace grid, telecom or land-use planning.", "sourceIds": [ "PC-S09" ], "basis": "policy-intent", "geographies": [ "Japan" ] }, { "kind": "source", "id": "PC-S09", "title": "Report 1.0 of the Public-Private Advisory Council on Watt-Bit Collaboration Published", "publisher": "Ministry of Economy, Trade and Industry, Japan", "url": "https://www.meti.go.jp/english/press/2025/0612_001.html", "publishedAt": "2025-06-12", "accessedAt": "2026-08-02", "limitations": "The report states policy direction, not delivered capacity or a public scheduling interface. Moving computation is not always possible because latency, data residency and security matter. Private software cannot replace grid, telecom or land-use planning.", "evidenceClass": "policy-intent", "geographies": [ "Japan" ] } ], "rankingIndexPath": "rankings/category-003/index.json", "sourceReceipts": [] }