FUTURE_WORKFLOWS.md

May 31, 2026 · View on GitHub

🔮 Riksdagsmonitor — Future Workflows Vision

🚀 CI/CD Evolution Roadmap: 2026–2037
🎯 From AI-Enhanced Automation to Autonomous Political Intelligence

📋 Document Owner: CEO | 📄 Version: 6.0 | 📅 Last Updated: 2026-05-02 (UTC) 🔄 Review Cycle: Annual | ⏰ Next Review: 2027-05-02 🔮 Horizon: 2026–2037

🎯 Purpose & Scope

This document projects the evolution of Riksdagsmonitor's CI/CD and automation workflows over the next eleven years (2026–2037). Building on the current foundation of 50 workflow files / 36 distinct workflows (including 14 agentic news pipelines), the vision encompasses AI-native pipelines, real-time political intelligence, predictive analytics, and fully autonomous content generation — all while maintaining ISO 27001/NIST CSF/CIS Controls compliance.

Strategic Alignment:

ISO 27001 (A.5.1): Information security policy evolution
NIST CSF (GV.SP): Strategic planning for security capabilities
CIS Controls (17.3): Automation maturity progression

Document	Focus	Description	Documentation Link
Architecture	🏛️ Architecture	C4 model showing current system structure	View Source
Future Architecture	🏛️ Architecture	Architectural evolution roadmap	View Source
CI/CD Workflows	🔧 DevOps	Current automation processes	View Source
Security Architecture	🛡️ Security	Current defense-in-depth controls	View Source
Future Security Architecture	🛡️ Security	Security roadmap	View Source
Threat Model	🛡️ Security	STRIDE threat analysis	View Source
End-of-Life Strategy	📅 Lifecycle	Maintenance and EOL planning	View Source
Secure Development Policy	🛠️ ISMS	Development security standards	View on ISMS-PUBLIC

🤖 AI/LLM Impact on CI/CD Workflows

Year	AI Capability	CI/CD Impact
2026	Claude Opus 4.8; GitHub Copilot agents; code generation	AI-assisted code review, test generation, documentation; Copilot agent-managed issues and PRs
2027	Multi-modal LLMs; extended context windows	AI-generated integration tests from requirements; visual regression testing with AI
2028	Specialized models; reasoning chains	Intelligent test prioritization; AI-driven deployment risk assessment
2029	Autonomous AI agents	Self-healing CI pipelines; autonomous dependency management
2030–2033	Proto-AGI capabilities	Autonomous development workflows; AI-managed release planning
2034–2037	AGI / near-AGI	Self-evolving CI/CD; autonomous software engineering lifecycle

📊 Political Intelligence Maturity Model

graph LR
    subgraph "🟢 Level 1: Automated Reporting (2026)"
        L1["📰 Scheduled article generation<br/>📊 Data-driven dashboards<br/>🌐 14-language translation<br/>✅ Quality gate enforcement"]
    end

    subgraph "🔵 Level 2: Predictive Intelligence (2027)"
        L2["🔮 Voting outcome prediction<br/>📈 Coalition stability forecasting<br/>🧠 Pattern recognition<br/>📡 Real-time event detection"]
    end

    subgraph "🟣 Level 3: Autonomous Analysis (2028)"
        L3["🤖 Self-directed investigation<br/>🎯 Anomaly-driven inquiry<br/>📊 Causal inference<br/>🔗 Cross-parliament correlation"]
    end

    subgraph "🟠 Level 4: Ecosystem Intelligence (2029)"
        L4["🌍 Multi-country monitoring<br/>🤝 Federated intelligence<br/>📡 OSINT integration<br/>🏛️ EU Parliament coverage"]
    end

    subgraph "🔴 Level 5: Transformative Democracy (2030+)"
        L5["🧬 AGI-assisted governance analysis<br/>📊 Real-time democratic health scoring<br/>🌐 Global political intelligence<br/>🔮 Strategic scenario simulation"]
    end

    L1 --> L2 --> L3 --> L4 --> L5

    style L1 fill:#198754,color:#fff,stroke:#146c43,stroke-width:2px
    style L2 fill:#0d6efd,color:#fff,stroke:#0a58ca,stroke-width:2px
    style L3 fill:#6f42c1,color:#fff,stroke:#59359a,stroke-width:2px
    style L4 fill:#fd7e14,color:#fff,stroke:#ca6510,stroke-width:2px
    style L5 fill:#dc3545,color:#fff,stroke:#b02a37,stroke-width:2px

🏗️ Vision Architecture

flowchart TB
    subgraph "🟢 2026 — Foundation"
        A1[✅ TypeScript Migration Complete]
        A2[✅ 12 Agentic News Workflows]
        A3[📊 CIA Data Pipeline]
        A4[✅ Dual Deploy S3 + GitHub Pages]
    end

    subgraph "🔵 2027 — Intelligence"
        B1[📡 Real-Time Data Streams]
        B2[🧠 ML Prediction Models]
        B3[🔍 Multi-Source OSINT]
        B4[✅ Automated Fact-Checking]
    end

    subgraph "🟣 2028 — Autonomy"
        C1[🔧 Self-Healing Pipelines]
        C2[🚀 Predictive Deployment]
        C3[📋 AI Editorial Board]
        C4[📤 Cross-Platform Distribution]
    end

    subgraph "🟠 2029 — Ecosystem"
        D1[🌐 Political Intelligence API]
        D2[🤝 Federated Data Network]
        D3[📊 Real-Time Democracy Index]
        D4[🏛️ Multi-Parliament Coverage]
    end

    subgraph "🔴 2030-2033 — AI Evolution"
        E1[🤖 Pre-AGI Model Integration]
        E2[🌍 50+ Parliament Coverage]
        E3[📰 Autonomous Content Pipeline]
        E4[📊 Global Democracy Index]
    end

    subgraph "⚫ 2034-2037 — AGI Era"
        F1[🧠 AGI-Enhanced Intelligence]
        F2[🌐 195 Parliament Network]
        F3[📡 Real-Time Global Monitoring]
        F4[🏛️ Transformative Democracy Tech]
    end

    A1 --> B1
    A2 --> B2
    A3 --> B3
    A4 --> B4

    B1 --> C1
    B2 --> C2
    B3 --> C3
    B4 --> C4

    C1 --> D1
    C2 --> D2
    C3 --> D3
    C4 --> D4

    D1 --> E1
    D2 --> E2
    D3 --> E3
    D4 --> E4

    E1 --> F1
    E2 --> F2
    E3 --> F3
    E4 --> F4

    classDef foundation fill:#4caf50,stroke:#2e7d32,stroke-width:2px,color:white
    classDef intelligence fill:#2196f3,stroke:#1565c0,stroke-width:2px,color:white
    classDef autonomy fill:#9c27b0,stroke:#6a1b9a,stroke-width:2px,color:white
    classDef ecosystem fill:#ff9800,stroke:#e65100,stroke-width:2px,color:white
    classDef evolution fill:#e91e63,stroke:#880e4f,stroke-width:2px,color:white
    classDef agi fill:#795548,stroke:#3e2723,stroke-width:2px,color:white

    class A1,A2,A3,A4 foundation
    class B1,B2,B3,B4 intelligence
    class C1,C2,C3,C4 autonomy
    class D1,D2,D3,D4 ecosystem
    class E1,E2,E3,E4 evolution
    class F1,F2,F3,F4 agi

Current State (2026 Q2)

Metric	Value
Total Workflow Files	50 (22 YAML + 14 agentic `.md` + 14 `.lock.yml`) = 36 distinct workflows
TypeScript Modules	31 (in `src/browser/`)
Unit Tests	2890 (Vitest)
Language Support	14 languages (incl. RTL)
Deployment	Dual: AWS S3/CloudFront + GitHub Pages
AI Content	14 agentic workflows (Claude Opus 4.8)
Security Compliance	ISO 27001, NIST CSF 2.0, CIS Controls v8.1

✅ Delivered (2026 Q2): Long-Horizon Forward-Look Pipelines

Status: Delivered via foundation PR + sub-issues Hack23/riksdagsmonitor#2153–#2168.

The long-horizon forward-look system extends the forward-look family (news-week-ahead, news-month-ahead) with three additional horizons:

Workflow	Horizon	Depth ×	Cron	Status
`news-quarter-ahead`	90 days	× 1.7	`0 9 1,15 * *`	✅ Delivered
`news-year-ahead`	365 days	× 2.0	`0 9 5 1,7 *`	✅ Delivered
`news-election-cycle`	1 460 days	× 2.5	dispatch-only (cron declared, disabled)	✅ Delivered

Key design decisions:

All three share the Tier-C aggregation contract but with progressively higher depth multipliers
Additional prompt module: ext/long-horizon-forecasting.md (horizon stratification, scenario-tree depth, IMF projection stamps, PESTLE blocking)
Election-cycle further imports ext/cycle-rollover.md (active ±30 days of election anchor)
Full pipeline diagrams and ISMS mapping documented in WORKFLOWS.md § Stage 6.2
Article-type registry metadata: analysis/article-types.json
Editorial parameters: Article-Generation.md § Forward-Look Horizons

🔮 Aspirational Long-Horizon Extensions (Future — No Script Edits Required)

The registry-driven architecture means the following article types can be added by simply registering them in analysis/article-types.json and creating a new workflow .md source — no script changes to aggregate-analysis.ts or render-articles.ts:

Future Workflow	Horizon	Use Case	Dependency
`news-budget-bill-ahead`	90–180 days	BP (Budgetproposition) + VP (Vårproposition) deep-dive	Budget committee schedule feed
`news-eu-presidency-ahead`	180 days	Swedish EU Council presidency rotation impact	European Parliament MCP integration
`news-defence-pivot-ahead`	365 days	Defence spending reallocation (NATO 2% target)	IMF GFS_COFOG G02 + FöU committee data
`news-climate-policy-ahead`	365 days	Environmental policy trajectory + EU Green Deal	SCB environment data + EU ETS pricing

🔬 Visionary: Per-Workflow Unique Analytics Evolution

The future of Riksdagsmonitor's agentic workflows is deep specialisation — each workflow producing analytics that are impossible with any other data source or analysis path.

graph TB
    subgraph "🟢 Current (2026 Q1)"
        C1["📋 Committee Reports<br/>Basic voting splits"]
        C2["📜 Propositions<br/>Legislative pipeline"]
        C3["✊ Motions<br/>Opposition tracking"]
        C4["❓ Interpellations<br/>Accountability scoring"]
    end

    subgraph "🔵 Phase 1 (2026 Q2–Q4)"
        P1_1["📋 Committee Reports<br/>+ ML vote prediction<br/>+ historical comparison"]
        P1_2["📜 Propositions<br/>+ budget impact modeling<br/>+ regulatory burden scoring"]
        P1_3["✊ Motions<br/>+ co-sponsorship network graphs<br/>+ topic clustering (NLP)"]
        P1_4["❓ Interpellations<br/>+ evasion NLP scoring<br/>+ minister response tracking DB"]
    end

    subgraph "🟣 Phase 2 (2027)"
        P2_1["📋 Committee Reports<br/>+ predictive vote outcome<br/>+ committee influence scoring"]
        P2_2["📜 Propositions<br/>+ multi-country policy comparison<br/>+ EU law transposition tracking"]
        P2_3["✊ Motions<br/>+ Overton window mapping<br/>+ media uptake correlation"]
        P2_4["❓ Interpellations<br/>+ sentiment trajectory<br/>+ government stress index"]
    end

    subgraph "🟠 Phase 3 (2028+)"
        P3_1["📋 Committee Reports<br/>+ real-time vote prediction<br/>+ coalition risk dashboard"]
        P3_2["📜 Propositions<br/>+ causal impact modeling<br/>+ citizen impact simulation"]
        P3_3["✊ Motions<br/>+ agenda-setting power index<br/>+ policy adoption probability"]
        P3_4["❓ Interpellations<br/>+ democratic health index<br/>+ autonomous follow-up detection"]
    end

    C1 --> P1_1 --> P2_1 --> P3_1
    C2 --> P1_2 --> P2_2 --> P3_2
    C3 --> P1_3 --> P2_3 --> P3_3
    C4 --> P1_4 --> P2_4 --> P3_4

    style C1 fill:#198754,color:#fff
    style C2 fill:#0d6efd,color:#fff
    style C3 fill:#fd7e14,color:#fff
    style C4 fill:#dc3545,color:#fff
    style P1_1 fill:#198754,color:#fff,stroke:#fff,stroke-width:2px
    style P1_2 fill:#0d6efd,color:#fff,stroke:#fff,stroke-width:2px
    style P1_3 fill:#fd7e14,color:#fff,stroke:#fff,stroke-width:2px
    style P1_4 fill:#dc3545,color:#fff,stroke:#fff,stroke-width:2px
    style P2_1 fill:#6f42c1,color:#fff,stroke:#fff,stroke-width:2px
    style P2_2 fill:#6f42c1,color:#fff,stroke:#fff,stroke-width:2px
    style P2_3 fill:#6f42c1,color:#fff,stroke:#fff,stroke-width:2px
    style P2_4 fill:#6f42c1,color:#fff,stroke:#fff,stroke-width:2px
    style P3_1 fill:#e91e63,color:#fff,stroke:#fff,stroke-width:2px
    style P3_2 fill:#e91e63,color:#fff,stroke:#fff,stroke-width:2px
    style P3_3 fill:#e91e63,color:#fff,stroke:#fff,stroke-width:2px
    style P3_4 fill:#e91e63,color:#fff,stroke:#fff,stroke-width:2px

Future Unique Analytics per Article Type

Workflow	Current Unique Analytics	Phase 1 Enhancement	Phase 2 Vision	Phase 3 Autonomous
Committee Reports	Voting splits, reservation analysis	ML vote prediction from committee composition + historical voting patterns	Committee influence scoring: which committees shape policy most effectively?	Real-time vote prediction dashboard during live plenary sessions
Propositions	Legislative pipeline tracking	Budget impact modeling using SCB economic data + World Bank benchmarks	Multi-country policy comparison (Nordic council + EU)	Causal impact simulation: "if this bill passes, what happens to X?"
Motions	Opposition strategy analysis	NLP-based topic clustering + co-sponsorship network visualisation	Overton window mapping: how opposition motions shift the political debate	Policy adoption probability: ML model predicting which motions become policy
Interpellations	Accountability scoring	NLP evasion scoring (did the minister actually answer?) + response tracking DB	Government stress index: aggregated ministerial pressure metric	Autonomous follow-up detection: AI identifies when promised action hasn't occurred
Evening Analysis	Daily parliamentary pulse	Multi-source synthesis (Riksdag + Regeringen + SCB same-day)	Automated "story of the day" narrative generation	Self-prioritising: AI identifies the most important event and leads with it
Realtime Monitor	Breaking event detection	Predictive urgency scoring (ML-trained on past breaking events)	Cross-source verification (Riksdag + news wire + social media)	Autonomous alert system with configurable severity thresholds
Weekly Review	Week-over-week trends	Trend significance testing (is this week different or noise?)	Predictive weekly preview: "next week we expect X because Y"	Self-correcting: compares last week's predictions with actual outcomes
Month Ahead	Strategic calendar	Calendar risk modeling (which events have historically caused volatility?)	EU legislative calendar integration for Swedish implementation deadlines	Autonomous scenario planning: generates 3 political futures per key event

🟢 Phase 1: Enhanced Foundation (2026 Q2–Q4)

1.1 🔊 CIA Data Pipeline Activation

Priority: Critical Status: Placeholder implemented, fetch logic pending

flowchart TD
    subgraph "📊 CIA Intelligence Pipeline v2"
        Schedule[⏰ Daily 03:00 CET] --> Fetch[📥 Fetch 19 CIA Products]
        Fetch --> Validate[✅ JSON Schema Validation]
        Validate --> Quality[📊 Data Quality Scoring]
        Quality --> Cache[💾 Versioned Cache + 7-day Archive]
        Cache --> Transform[🔄 Transform to Static Data]
        Transform --> AutoPR[🔄 Auto-PR with Data Diff]
    end

    subgraph "🚨 Alerting"
        Quality --> Alert{Quality Score < Threshold?}
        Alert -->|Yes| CreateIssue[📋 Create GitHub Issue]
        Alert -->|No| Continue[✅ Continue Pipeline]
    end

    classDef schedule fill:#ffecb3,stroke:#f57f17,stroke-width:1.5px,color:black
    classDef pipeline fill:#c8e6c9,stroke:#2e7d32,stroke-width:1.5px,color:black
    classDef alert fill:#ffccbc,stroke:#bf360c,stroke-width:1.5px,color:black
    classDef decision fill:#f39c12,stroke:#e67e22,stroke-width:2px,color:black

    class Schedule schedule
    class Fetch,Validate,Quality,Cache,Transform,AutoPR pipeline
    class Alert decision
    class CreateIssue alert
    class Continue pipeline

1.2 🧪 Comprehensive E2E Test Suite

Priority: High

flowchart LR
    subgraph "🧪 Test Matrix"
        Browser[🌐 Browser Matrix] --> Chrome[Chromium]
        Browser --> Firefox[Firefox]
        Browser --> Webkit[WebKit]

        Viewport[📱 Viewport Matrix] --> Mobile[320px]
        Viewport --> Tablet[768px]
        Viewport --> Desktop[1440px]

        Language[🌍 Language Sample] --> EN[English]
        Language --> SV[Swedish]
        Language --> AR[Arabic RTL]
        Language --> JA[Japanese]
    end

    subgraph "✅ Test Types"
        VR[🖼️ Visual Regression]
        A11y[♿ Accessibility Audit]
        Perf[⚡ Performance Budget]
        KB[⌨️ Keyboard Navigation]
    end

    classDef matrix fill:#bbdefb,stroke:#1565c0,stroke-width:1.5px,color:black
    classDef test fill:#c8e6c9,stroke:#2e7d32,stroke-width:1.5px,color:black

    class Browser,Viewport,Language,Chrome,Firefox,Webkit,Mobile,Tablet,Desktop,EN,SV,AR,JA matrix
    class VR,A11y,Perf,KB test

1.3 🔄 Preview Deployments

Priority: Medium — Deploy PR previews to S3 preview bucket (pr-{number}.preview.riksdagsmonitor.com)

1.4 📦 Automated Dependency Updates

Priority: Medium — Weekly automated dependency management with auto-PR for minor/patch updates

🔵 Phase 2: Intelligence Layer (2027)

2.1 📡 Real-Time Political Data Streams

flowchart TD
    subgraph "📡 Real-Time Pipeline"
        Poll[⏰ Every 10 min during sessions] --> Detect[🔍 Detect New Events]
        Detect --> Classify{📊 Significance?}
        Classify -->|Breaking| BreakingNews[🚨 Breaking News]
        Classify -->|Notable| StandardArticle[📰 Standard Article]
        Classify -->|Routine| Archive[📋 Archive Only]
    end

    subgraph "🚨 Breaking News Flow"
        BreakingNews --> Generate[🤖 AI Article Generation]
        Generate --> MultiLang[🌍 14-Language Translation]
        MultiLang --> ImmediateDeploy[🚀 Immediate Deploy]
        ImmediateDeploy --> PushNotify[📱 Web Push Notifications]
    end

    classDef realtime fill:#bbdefb,stroke:#1565c0,stroke-width:1.5px,color:black
    classDef breaking fill:#ffccbc,stroke:#bf360c,stroke-width:1.5px,color:black
    classDef decision fill:#f39c12,stroke:#e67e22,stroke-width:2px,color:black
    classDef ai fill:#9C27B0,stroke:#6a1b9a,stroke-width:2px,color:white

    class Poll,Detect realtime
    class Classify decision
    class BreakingNews,Generate,MultiLang,ImmediateDeploy,PushNotify breaking
    class StandardArticle,Archive realtime

2.2 🧠 ML-Powered Prediction Pipeline

flowchart TD
    subgraph "🧠 ML Pipeline"
        DataFetch[📥 50+ Years Historical Data] --> Train[🏋️ Train/Update Models]
        Train --> Validate[✅ k-fold Cross-Validation]
        Validate --> Predict[🔮 Generate Predictions]
    end

    subgraph "🔮 Prediction Models"
        Predict --> VotePred[📊 Voting Prediction]
        Predict --> CoalitionStab[🤝 Coalition Stability]
        Predict --> SeatProj[🗳️ Election Seat Projections ±5]
        Predict --> CareerTraj[👤 MP Career Trajectory]
    end

    subgraph "📈 Accuracy Audit"
        VotePred & CoalitionStab & SeatProj & CareerTraj --> Compare[📊 Compare vs Actual]
        Compare --> Drift{Model Drift?}
        Drift -->|Yes| Retrain[🔄 Retrain]
        Drift -->|No| Publish[📤 Publish Predictions]
    end

    classDef ml fill:#e1bee7,stroke:#6a1b9a,stroke-width:1.5px,color:black
    classDef prediction fill:#d1c4e9,stroke:#4a148c,stroke-width:1.5px,color:black
    classDef audit fill:#ffecb3,stroke:#f57f17,stroke-width:1.5px,color:black
    classDef decision fill:#f39c12,stroke:#e67e22,stroke-width:2px,color:black

    class DataFetch,Train,Validate,Predict ml
    class VotePred,CoalitionStab,SeatProj,CareerTraj prediction
    class Compare,Drift,Retrain,Publish audit

2.3 🔍 Multi-Source OSINT Pipeline

Sources: riksdag-open-data-api, government-press-releases, committee-calendar, european-parliament-api, nordic-council-data, public-register-data

2.4 ✅ Automated Fact-Checking

Process: Extract claims → cross-reference against Riksdag voting records, government publications, SCB statistics → assign confidence scores → flag unverifiable claims for human review

🟣 Phase 3: Autonomous Operations (2028)

3.1 🔧 Self-Healing Infrastructure

flowchart TD
    subgraph "🔧 Self-Healing Pipeline"
        Failure[❌ Workflow Failure] --> Diagnose[🔍 Classify Failure]
        Diagnose --> Transient{Transient?}
        Transient -->|Network/Rate Limit| AutoRetry[🔄 Auto-Retry]
        Transient -->|Dependency| AltVersion[📦 Try Alternative Version]
        Transient -->|Test Flake| Quarantine[🔇 Quarantine & Retry]
        Transient -->|Build Error| Bisect[🔍 Bisect Recent Commits]
        Transient -->|Infrastructure| Escalate[🚨 Escalate]
    end

    subgraph "📊 Learning Loop"
        AutoRetry & AltVersion & Quarantine & Bisect --> Verify{Success?}
        Verify -->|Yes| Log[📋 Log Pattern]
        Verify -->|No| CreateIssue[📋 Create Detailed Issue]
        Log --> UpdateKB[🧠 Update Knowledge Base]
        UpdateKB --> MonthlyReport[📈 Monthly Reliability Report]
    end

    classDef failure fill:#e74c3c,stroke:#c0392b,stroke-width:1.5px,color:white
    classDef diagnosis fill:#f39c12,stroke:#e67e22,stroke-width:1.5px,color:black
    classDef repair fill:#27ae60,stroke:#1e8449,stroke-width:1.5px,color:white
    classDef learn fill:#3498db,stroke:#2980b9,stroke-width:1.5px,color:white

    class Failure failure
    class Diagnose,Transient diagnosis
    class AutoRetry,AltVersion,Quarantine,Bisect,Verify repair
    class Escalate failure
    class Log,CreateIssue,UpdateKB,MonthlyReport learn

3.2 🚀 Canary Deployments

Process: Deploy to canary (5% traffic) → Monitor 30 min (error rate < 0.1%, LCP < 2.5s) → Progressive rollout (25% → 50% → 100%) → If degraded: automatic rollback + incident report

3.3 📋 AI Editorial Board

flowchart TD
    subgraph "📋 AI Editorial Board"
        Content[📝 Generated Content] --> Review[🔍 Multi-Perspective Review]
        Review --> Analyst[📊 Political Analyst]
        Review --> FactCheck[✅ Fact-Checker]
        Review --> StyleEdit[✏️ Style Editor]
        Review --> BiasDetect[⚖️ Bias Detector]
    end

    subgraph "📊 Consensus"
        Analyst & FactCheck & StyleEdit & BiasDetect --> Aggregate[📋 Aggregate Scores]
        Aggregate --> Threshold{Score ≥ 85%?}
        Threshold -->|Yes| AutoApprove[✅ Auto-Approve]
        Threshold -->|No| HumanReview[👤 Human Editor]
    end

    classDef content fill:#e1bee7,stroke:#6a1b9a,stroke-width:1.5px,color:black
    classDef review fill:#bbdefb,stroke:#1565c0,stroke-width:1.5px,color:black
    classDef decision fill:#f39c12,stroke:#e67e22,stroke-width:2px,color:black
    classDef approve fill:#c8e6c9,stroke:#2e7d32,stroke-width:1.5px,color:black
    classDef human fill:#ffccbc,stroke:#bf360c,stroke-width:1.5px,color:black

    class Content content
    class Review,Analyst,FactCheck,StyleEdit,BiasDetect review
    class Aggregate,Threshold decision
    class AutoApprove approve
    class HumanReview human

3.4 📤 Multi-Platform Content Distribution

Platforms: Website (HTML + Schema.org), RSS (Atom feed), Newsletter (MJML email), Social Media (platform-specific excerpts), API (JSON endpoint)

🟠 Phase 4: Ecosystem (2029)

4.1 🌐 Political Intelligence API

flowchart LR
    subgraph "🌐 API Endpoints"
        API[Political Intelligence API v1]
        API --> MPs[/api/v1/mps]
        API --> Votes[/api/v1/votes]
        API --> Predictions[/api/v1/predictions]
        API --> Network[/api/v1/network]
        API --> Timeline[/api/v1/timeline]
        API --> Risk[/api/v1/risk-assessment]
    end

    subgraph "👥 Consumers"
        MPs & Votes & Predictions --> Researchers[🎓 Researchers]
        Network & Timeline --> Journalists[📰 Journalists]
        Risk --> CivicTech[💻 Civic Tech]
    end

    classDef api fill:#3498db,stroke:#2980b9,stroke-width:1.5px,color:white
    classDef endpoint fill:#bbdefb,stroke:#1565c0,stroke-width:1.5px,color:black
    classDef consumer fill:#c8e6c9,stroke:#2e7d32,stroke-width:1.5px,color:black

    class API api
    class MPs,Votes,Predictions,Network,Timeline,Risk endpoint
    class Researchers,Journalists,CivicTech consumer

Features: Rate limiting (100 req/min free, 1000 req/min API key), GraphQL endpoint, WebSocket for real-time updates, OpenAPI 3.1, SDK generation (TypeScript, Python, R)

4.2 🏛️ Multi-Parliament Coverage

Target Parliaments: Swedish Riksdag (349 MPs), European Parliament (MEPs), Nordic Council, Finnish Eduskunta, Danish Folketing, Norwegian Storting

4.3 📊 Real-Time Democracy Health Index

Metrics: Transparency (debate coverage, document accessibility, FOI response times), Participation (voter turnout, public consultation), Accountability (voting discipline, minister responses), Pluralism (media diversity, opposition effectiveness)

4.4 🤝 Federated Intelligence Network

Architecture: IPFS for decentralized data, ActivityPub for inter-platform communication, shared political ontology, privacy-preserving analytics, GDPR-compliant cross-border data sharing

🔴 Phase 5: AI Evolution & Global Scale (2030–2033)

5.1 🤖 Pre-AGI Model Integration

flowchart TD
    subgraph "🤖 AI Model Pipeline"
        Evaluate[📊 Evaluate New Models] --> Benchmark[🧪 Automated Benchmarking]
        Benchmark --> Compare{Better Than Current?}
        Compare -->|Yes| Integrate[🔄 Integrate Model]
        Compare -->|No| Monitor[📡 Continue Monitoring]
        Integrate --> Validate[✅ Quality Validation]
        Validate --> Deploy[🚀 Progressive Rollout]
    end

    subgraph "🧠 Capabilities"
        Deploy --> NearExpert[📊 Near-Expert Political Analysis]
        Deploy --> DomainSpecialized[🏛️ Domain-Specialized Fine-Tuning]
        Deploy --> AutoInvestigation[🔍 Autonomous Investigative Journalism]
        Deploy --> MultiModal[📷 Multi-Modal Content]
    end

    classDef ai fill:#9C27B0,stroke:#6a1b9a,stroke-width:2px,color:white
    classDef capability fill:#e1bee7,stroke:#6a1b9a,stroke-width:1.5px,color:black
    classDef decision fill:#f39c12,stroke:#e67e22,stroke-width:2px,color:black

    class Evaluate,Benchmark,Integrate,Validate,Deploy ai
    class Compare decision
    class Monitor ai
    class NearExpert,DomainSpecialized,AutoInvestigation,MultiModal capability

5.2 🌍 Global Parliament Coverage

Target: 50+ parliaments across Europe, Americas, and Asia-Pacific with cross-parliament schema normalization and multi-timezone content scheduling

5.3 📰 Autonomous Content Pipeline

Target: < 5% human review required — AI editorial quality score > 95%, fact verification accuracy > 99%, multi-modal content in 50+ languages

⚫ Phase 6: AGI Era & Transformative Democracy (2034–2037)

6.1 🧠 AGI-Enhanced Intelligence

Strategic Considerations:

🤖 Autonomous analysis: AGI-powered real-time political intelligence across all 195 parliamentary systems
🌐 Universal language support: Every UN language supported natively
📊 Predictive governance: Policy impact prediction before legislation is proposed
⚖️ Ethical AI governance: Human oversight maintained regardless of AI capability level
🛡️ Democratic safeguards: Platform architecture prevents weaponization or manipulation

6.2 📈 AI Model Evolution Strategy

Year	Total Workflows	AI Model	Key Capability
2026	47–50	Opus 4.8–4.9	Agentic news generation
2027	50–55	Opus 5.x	Predictive analytics
2028	55–65	Opus 6.x	Multi-modal content
2029	65–75	Opus 7.x	Autonomous pipeline
2030	75–85	Opus 8.x	Near-expert analysis
2031–2033	85–100	Opus 9–10.x / Pre-AGI	Global coverage
2034–2037	100–120+	AGI / Post-AGI	Transformative platform

🛰️ Political-Intelligence Workflow Suite (OSINT/INTOP, to 2037)

Master catalog: these workflows operationalise FUTURE_MINDMAP.md §Political-Intelligence Capability Catalog and the architecture in FUTURE_ARCHITECTURE.md §4A. The phase roadmap above is platform-centric; this section is tradecraft-centric — it names the new intelligence workflows an operative needs and the gh-aw / Step-Functions pipelines that deliver them, all on public data with human-in-the-loop sign-off.

The intelligence cycle as a workflow chain

graph LR
    A["🎯 Direction<br/>pir-generation"]:::g --> B["📡 Collection<br/>multi-int-fusion"]:::b
    B --> C["⚙️ Processing<br/>provenance-grading"]:::p
    C --> D["🧠 Analysis<br/>sat + forecast + i&amp;w"]:::o
    D --> E["📑 Production<br/>estimative-brief"]:::r
    E --> F["📣 Dissemination<br/>cop + tip-and-cue"]:::c
    F --> G["🔁 Feedback<br/>calibration-ledger"]:::s
    G --> A
    classDef g fill:#198754,color:#fff;
    classDef b fill:#0d6efd,color:#fff;
    classDef p fill:#6f42c1,color:#fff;
    classDef o fill:#fd7e14,color:#fff;
    classDef r fill:#dc3545,color:#fff;
    classDef c fill:#0dcaf0,color:#000;
    classDef s fill:#ffc107,color:#000;

New intelligence workflows by horizon

Workflow (proposed)	Capability (catalog ref)	Horizon	Trigger	Output product
`intel-entity-resolution`	C1 cross-source entity resolution	🔵 v2.0	weekly + on new MP/registry data	resolved-actor graph (static)
`intel-conflict-screen`	C3 declared-interest vs vote	🔵 v2.0	on votering publish	neutral conflict-screen scorecard
`intel-influence-network`	C19 power-broker analytics	🔵 v2.0	weekly	influence/brokerage graph
`intel-narrative-tracker`	C18 framing lifecycle	🔵 v2.0	daily	narrative-evolution timeline
`intel-sat-orchestrator`	C12 SAT automation (ACH/KAC/premortem)	🔵→🟣	per analysis run	ICD 203-graded SAT bundle
`intel-multi-int-fusion`	C6 fusion mesh	🟣 v3.0	streaming	fused situational graph
`intel-provenance-gate`	C8/C9 provenance + deepfake	🟣 v3.0	on every evidence intake	refuse-to-cite gate verdict
`intel-forecast-calibrate`	C13/C29 calibrated forecasting	🟣 v3.0	nightly + on event	forecast + Brier-scored calibration
`intel-warning-tripwire`	C14 I&W tripwires	🟣 v3.0	continuous (EventBridge)	confidence-scored warnings
`intel-fimi-watch`	C20 FIMI/CIB detection	🟣 v3.0	continuous	foreign-interference alert
`intel-wargame-sim`	C16 agent-based wargaming	🟣→🌟	on coalition/budget event	scenario-tree with probabilities
`intel-daily-brief`	C23 autonomous Daily Brief	🟣 v3.0	06:00 daily	PDB-style brief (14 langs)
`intel-estimative`	C22 NIE-style key judgments	🟣 v3.0	on standing PIR	confidence-scored estimate
`intel-cop-stream`	C21 Common Operating Picture	🟣→🌟	streaming	live COP dashboard feed
`intel-democracy-index`	C27 democracy-health index	🌟 2032+	weekly	neutral composite barometer
`intel-neutrality-audit`	C30 bias-symmetry auditor	🔵 (all)	pre-publish gate	party-symmetry pass/fail
`intel-redteam`	C31 pipeline red-team	🟣 v3.0	scheduled	adversarial findings
`intel-counter-ai-guard`	C32 counter-AI integrity	🟣 v3.0	per inference	injection/poison verdict

Maturity model — intelligence-cycle overlay

The platform maturity levels (above) gain an explicit intelligence-cycle reading:

graph LR
    subgraph "🟢 L1 2026 Report"
        M1["Build-time articles<br/>document-centric"]
    end
    subgraph "🔵 L2 2027 Fuse & Reason"
        M2["Entity resolution<br/>SAT automation<br/>influence networks<br/>neutrality auditing"]
    end
    subgraph "🟣 L3 2028-29 Warn"
        M3["Multi-INT fusion<br/>calibrated forecasting<br/>I&amp;W tripwires<br/>FIMI detection"]
    end
    subgraph "🟠 L4 2030-31 Estimate"
        M4["Causal inference<br/>agent wargaming<br/>Common Operating Picture<br/>NIE-style products"]
    end
    subgraph "🔴 L5 2032+ Autonomous"
        M5["Always-on fusion<br/>election-night cell<br/>democracy-health index<br/>multi-parliament COP"]
    end
    M1 --> M2 --> M3 --> M4 --> M5
    style M1 fill:#198754,color:#fff
    style M2 fill:#0d6efd,color:#fff
    style M3 fill:#6f42c1,color:#fff
    style M4 fill:#fd7e14,color:#fff
    style M5 fill:#dc3545,color:#fff

Governance rails (every intelligence workflow). Public sources only; provenance + Admiralty grade on intake; ICD 203 analytic-integrity scoring; party-neutrality gate before publish; calibrated, documented uncertainty; counter-AI guard on every inference; and a human signs every externally visible judgment per the Hack23 AI Policy. No workflow may take a partisan action, profile a citizen, or publish an unverified claim.

📈 Technology Evolution Roadmap

Build & Runtime

Year	Node.js	TypeScript	Bundler	Test Runner
2026 Q1	25 (Current)	6.0	Vite 8	Vitest 4
2026 Q2	26 (Current, upgraded Apr 2026 ✅; LTS later 2026)	6.0	Vite 8	Vitest 4
2027	27 LTS	7.x	Vite 8	Vitest 5
2028	28 LTS	7.x	Vite 9 / Turbopack	Vitest 6
2029	29 LTS	8.x	Next-gen bundler	Native test runner

Infrastructure

Year	Deploy	CDN	Monitoring
2026	S3/CloudFront + GitHub Pages	CloudFront	Uptime + Lighthouse
2027	+ Preview envs + canary	CloudFront + Cloudflare	+ Real user metrics
2028	Zero-downtime + auto-rollback	Edge compute	+ ML anomaly detection
2029	Global edge deployment	Distributed CDN mesh	Self-healing observability

📊 Workflow Count Projection

gantt
    title Workflow Growth Projection
    dateFormat YYYY-MM-DD
    axisFormat %Y

    section Security
    Current 5 workflows         :done, sec0, 2026-01-01, 2026-03-31
    Dependency Auto              :sec1, 2026-07-01, 2026-12-31
    Supply Chain v2              :sec2, 2027-01-01, 2027-06-30

    section Testing
    Current 7 workflows         :done, tst0, 2026-01-01, 2026-03-31
    Visual Regression            :tst1, 2026-04-01, 2026-09-30
    Cross-Browser Matrix         :tst2, 2026-07-01, 2026-12-31
    ML Model Validation          :tst3, 2027-04-01, 2027-09-30

    section Data Pipeline
    Current 5 workflows         :done, dat0, 2026-01-01, 2026-03-31
    CIA Pipeline v2              :dat1, 2026-04-01, 2026-09-30
    OSINT Pipeline               :dat2, 2027-01-01, 2027-09-30
    Prediction Pipeline          :dat3, 2027-07-01, 2028-03-31

    section Agentic
    Current 12 workflows        :done, agt0, 2026-01-01, 2026-03-31
    Fact-Checking                :agt1, 2027-01-01, 2027-06-30
    Editorial Board              :agt2, 2028-01-01, 2028-06-30
    Multi-Platform               :agt3, 2028-04-01, 2028-09-30

    section Deploy
    Current 3 workflows         :done, dep0, 2026-01-01, 2026-03-31
    Preview Deploys              :dep1, 2026-04-01, 2026-09-30
    Canary Deploys               :dep2, 2028-01-01, 2028-06-30
    Self-Healing                 :dep3, 2028-04-01, 2028-12-31

Year	Projected Distinct Workflows	New Capabilities
2026 Q1	32 (43 files)	TypeScript foundation, 11 agentic workflows
2026 Q2	33 (44 files)	Node.js 26 Current upgrade ✅ (Apr 2026); nightly compat check added
2026 Q4	39 (50 files)	CIA pipeline v2, preview deploys, visual regression
2027 Q4	44 (55 files)	Node.js 27 LTS, OSINT pipeline, ML predictions, real-time streams
2028 Q4	54 (65 files)	Node.js 28 LTS, self-healing, canary deploy, AI editorial board
2029 Q4	64+ (75+ files)	Node.js 29 LTS, intelligence API, multi-parliament, federation

🔒 ISMS Evolution

Security Automation Growth

Capability	2026	2027	2028	2029
📌 SHA Pinning	✅ Manual	✅ Auto-update	✅ Auto + verify	✅ Self-managing
📄 SBOM	✅ Per-release	✅ Per-commit	✅ Real-time	✅ Federated
🔍 Vulnerability Scan	✅ CodeQL + Dependabot	+ SAST/DAST	+ Fuzzing	+ AI-assisted
📋 Compliance Check	✅ Manual mapping	Auto-mapping	Continuous	Predictive
🚨 Incident Response	✅ Auto-issue	+ Auto-diagnose	+ Auto-remediate	+ Self-healing
🛡️ Threat Model	✅ STRIDE manual	+ Auto-update	+ Real-time	+ Predictive

Projected Compliance Frameworks

flowchart LR
    subgraph "2026 — Current"
        ISO[🏛️ ISO 27001:2022]
        NIST[🔒 NIST CSF 2.0]
        CIS[🛡️ CIS Controls v8.1]
    end

    subgraph "2027 — Expanded"
        SOC2[📋 SOC 2 Type II]
    end

    subgraph "2028 — AI Compliance"
        EUAI[🤖 EU AI Act]
    end

    subgraph "2029 — Infrastructure"
        NIS2[🌐 NIS2 Directive]
    end

    ISO --> SOC2
    NIST --> SOC2
    CIS --> EUAI
    SOC2 --> EUAI
    EUAI --> NIS2

    classDef current fill:#4caf50,stroke:#2e7d32,stroke-width:2px,color:white
    classDef expanded fill:#2196f3,stroke:#1565c0,stroke-width:2px,color:white
    classDef ai fill:#9c27b0,stroke:#6a1b9a,stroke-width:2px,color:white
    classDef infra fill:#ff9800,stroke:#e65100,stroke-width:2px,color:white

    class ISO,NIST,CIS current
    class SOC2 expanded
    class EUAI ai
    class NIS2 infra

⚠️ Key Risks & Mitigations

Risk	Impact	Likelihood	Mitigation
🤖 AI model hallucination in news content	High	Medium	Multi-agent fact-checking, human-in-the-loop for breaking news
📊 ML prediction model bias	High	Medium	Regular bias audits, diverse training data, transparency reports
🌐 API rate limiting by data sources	Medium	High	Caching, fallback to cached data, multiple source redundancy
💰 GitHub Actions cost scaling	Medium	Medium	Self-hosted runners for heavy workloads, workflow optimization
🔗 Supply chain attacks on MCP servers	High	Low	Version pinning, SRI checks, egress monitoring
🔒 GDPR compliance for ML models	High	Medium	Privacy-by-design, differential privacy, data minimization

✅ Success Metrics

Short-term (2026)

CIA data pipeline fully operational (19 products daily)
Preview deployments for all PRs
Visual regression testing in CI
Automated dependency updates
Workflow run time < 3 minutes average

Medium-term (2027–2028)

Real-time political data processing (< 10 minute latency)
ML prediction accuracy > 80% for voting outcomes
Zero-downtime deployments with automatic rollback
Self-healing pipeline success rate > 95%
Multi-platform content distribution (5+ channels)

Long-term (2029–2037)

Public political intelligence API serving 1000+ consumers
Multi-parliament coverage (5+ Nordic/EU parliaments)
Democracy health index with international comparisons
Fully autonomous content pipeline (human review < 10% of articles)
Federated data network with 10+ partner platforms

Visionary (2030–2037)

Pre-AGI model integration with autonomous evaluation pipeline
50+ parliament coverage with real-time cross-parliament analysis
< 5% human review required for standard political articles
Global real-time democracy health index covering 195 parliaments
AGI-ready architecture with maintained human oversight and democratic safeguards

🌐 Future Workflow Ecosystem Vision

graph TB
    subgraph "🌍 Data Sources (2027+)"
        RD["🏛️ Riksdag"]
        EU["🇪🇺 EU Parliament"]
        NORDIC["🏔️ Nordic Parliaments"]
        OSINT["📡 Open Source Intel"]
        SOCIAL["📱 Social Media"]
        MEDIA["📺 News Feeds"]
    end

    subgraph "🧠 AI Intelligence Core (2028+)"
        NLP["🔤 Advanced NLP<br/><i>Multi-language understanding</i>"]
        ML["📊 ML Prediction<br/><i>Voting & coalition models</i>"]
        CAUSAL["🔗 Causal Inference<br/><i>Policy impact chains</i>"]
        ANOMALY["🚨 Anomaly Detection<br/><i>Democratic deviation alerts</i>"]
    end

    subgraph "📰 Content Generation (2029+)"
        REALTIME["⚡ Real-Time Articles<br/><i>< 5 min latency</i>"]
        DEEP["🔬 Deep Analysis<br/><i>Multi-parliament</i>"]
        PREDICT["🔮 Predictive Reports<br/><i>Scenario modeling</i>"]
        INDEX["📊 Democracy Index<br/><i>Health scoring</i>"]
    end

    subgraph "🌐 Distribution (2029+)"
        WEB["🌐 Web Platform"]
        API["🔌 Public API"]
        FEED["📡 Data Feeds"]
        PARTNER["🤝 Partner Network"]
    end

    RD & EU & NORDIC & OSINT & SOCIAL & MEDIA --> NLP & ML & CAUSAL & ANOMALY
    NLP & ML & CAUSAL & ANOMALY --> REALTIME & DEEP & PREDICT & INDEX
    REALTIME & DEEP & PREDICT & INDEX --> WEB & API & FEED & PARTNER

    style RD fill:#0d6efd,color:#fff,stroke:#0a58ca,stroke-width:2px
    style EU fill:#0d6efd,color:#fff,stroke:#0a58ca,stroke-width:2px
    style NORDIC fill:#0d6efd,color:#fff,stroke:#0a58ca,stroke-width:2px
    style OSINT fill:#6f42c1,color:#fff,stroke:#59359a,stroke-width:2px
    style SOCIAL fill:#6f42c1,color:#fff,stroke:#59359a,stroke-width:2px
    style MEDIA fill:#6f42c1,color:#fff,stroke:#59359a,stroke-width:2px
    style NLP fill:#198754,color:#fff,stroke:#146c43,stroke-width:2px
    style ML fill:#198754,color:#fff,stroke:#146c43,stroke-width:2px
    style CAUSAL fill:#198754,color:#fff,stroke:#146c43,stroke-width:2px
    style ANOMALY fill:#198754,color:#fff,stroke:#146c43,stroke-width:2px
    style REALTIME fill:#fd7e14,color:#fff,stroke:#ca6510,stroke-width:2px
    style DEEP fill:#fd7e14,color:#fff,stroke:#ca6510,stroke-width:2px
    style PREDICT fill:#fd7e14,color:#fff,stroke:#ca6510,stroke-width:2px
    style INDEX fill:#fd7e14,color:#fff,stroke:#ca6510,stroke-width:2px
    style WEB fill:#dc3545,color:#fff,stroke:#b02a37,stroke-width:2px
    style API fill:#dc3545,color:#fff,stroke:#b02a37,stroke-width:2px
    style FEED fill:#dc3545,color:#fff,stroke:#b02a37,stroke-width:2px
    style PARTNER fill:#dc3545,color:#fff,stroke:#b02a37,stroke-width:2px

📚 References

WORKFLOWS.md — Current workflow documentation
ARCHITECTURE.md — System architecture
FUTURE_ARCHITECTURE.md — Architecture roadmap
FUTURE_SECURITY_ARCHITECTURE.md — Security evolution
AGENTS.md — Custom agent reference (14 persona agents + 9 workflow-specialist .agent.md + developer.instructions.md = 24 files)
SKILLS.md — Skill definitions (91 skills)
Hack23 ISMS-PUBLIC — ISMS policies
Secure Development Policy — Development security standards

📋 Document Owner: CEO | 📄 Version: 6.0 | 📅 Last Updated: 2026-05-02 (UTC) 🔄 Review Cycle: Annual | ⏰ Next Review: 2027-05-02 🏢 Classification: Public | 🏛️ Owner: Hack23 AB (Org.nr 5595347807)

🌐 Evolving the Current IMF Workflow Integration toward Future CI/CD

Baseline: the already-implemented per-workflow IMF dataflow is documented in WORKFLOWS.md §IMF. The table below shows how that current integration evolves with additional CI gates (precedence-contract test, provider-mix telemetry alarm) on top of today's pipeline.

Authoritative hub: analysis/imf/README.md · analysis/imf/agentic-integration.md · analysis/imf/indicators-inventory.json · analysis/imf/data-dictionary.md · .github/aw/ECONOMIC_DATA_CONTRACT.md

IMF integration evolving from today's pipeline into the 2027–2030 autonomous-agent workflows

Workflow stage	IMF dataflow	Cadence	Caching strategy
Daily news (`news-*.md`)	WEO + FM + IFS + GFS_COFOG	On-demand per article	Vintage-tagged Aurora cache
Week-ahead forecasting	WEO projections + DOTS	Weekly	7-day rolling cache
Month-ahead forecasting	WEO + FM + ER	Monthly	30-day rolling + supersedes-chain
Weekly review	WEO + FM + GFS_COFOG (committee-aligned)	Weekly	Snapshot per Riksdag week
Monthly review	All IMF dataflows	Monthly	Full vintage capture
Real-time monitor	IFS (monthly CPI), MFS_IR (rates), ER (FX)	Hourly	Short-TTL cache
Translation cascade (14 lang)	Inherits article provenance	Per article	No re-fetch (provenance preserved)

Future CI gate: IMF-first contract enforcement

# .github/workflows/quality-checks.yml (target additions)
- name: IMF-first economic citation lint
  run: tsx scripts/article-quality-enhancer.ts --enforce-imf-first

- name: IMF cache integrity (SHA-256 supersedes-chain)
  run: tsx scripts/imf-fetch.ts --verify-cache

- name: Provider-mix telemetry (alarm if WB economic share > 5%)
  run: tsx scripts/catalog-downloaded-data.ts --provider-mix-report

Provider decision matrix

Indicator class	Primary	Secondary	Why
Macro (GDP, growth, unemployment, inflation, fiscal balance, debt, current account)	IMF WEO + Fiscal Monitor	SCB (Sweden monthly)	Freshness + T+5 projections; SNA 2008 / GFSM 2014 / BPM6 cross-country comparability
Bilateral trade flows	IMF DOTS	—	Partner-country dimension, monthly cadence
Monthly inflation, policy rates	IMF IFS / MFS_IR	SCB / Riksbank	Standardised cross-country
Government spending by function (defence/health/education/social protection)	IMF GFS_COFOG	—	Committee-aligned (FöU/SoU/UbU/SfU)
Commodity prices, exchange rates	IMF PCPS / ER	—	Canonical benchmarks
Governance (CC.EST, RL.EST, VA.EST, GE.EST, RQ.EST, PV.EST)	World Bank WGI	—	IMF has no equivalent
Environment (CO2, renewables, forest, water)	World Bank	—	IMF has no equivalent
Social/education residue (literacy, school participation, gender ratios)	World Bank	GFS_COFOG 09	IMF has no equivalent
Defence spending depth (long historicals)	World Bank MS.MIL.*	GFS_COFOG 02	WB deeper history
Swedish ground truth (monthly labour, regional, budget execution)	SCB	—	National statistics authority

Canonical rule. Every economic claim in a Riksdagsmonitor article cites an IMF dataflow first; World Bank citations are reserved for governance, environment and social residue (the classes IMF does not publish). SCB is the Swedish-specific ground truth layer. See ECONOMIC_DATA_CONTRACT.md v2.1 for the banned-phrase list and vintage discipline (>6 mo → annotation).

🔗 Hack23 Ecosystem

🌐 Platforms	📦 Open-Source Projects	🛡️ Governance & Standards
🗳️ Riksdagsmonitor — Swedish Parliament intelligence 🇪🇺 EU Parliament Monitor — European coverage 🕵️ Citizen Intelligence Agency — political-data engine 🌐 Hack23 AB — corporate site 📰 Hack23 Blog — engineering & policy 💼 Hack23 on LinkedIn	🗳️ Hack23/riksdagsmonitor 🕵️ Hack23/cia 🇪🇺 Hack23/euparliamentmonitor 🔌 Hack23/european-parliament-mcp ✅ Hack23/cia-compliance-manager 🥋 Hack23/black-trigram 🏠 Hack23/homepage	🛡️ Hack23 ISMS-PUBLIC — public ISMS 🔒 Information Security Policy 🤖 AI Policy 🧪 Secure Development Policy 🎯 Threat Modeling Policy ⚠️ Vulnerability Management 🏷️ Classification Framework

🗳️ Empower citizens · 🔍 Strengthen democratic accountability · 🕵️ Illuminate the political process