🗳️ Riksdagsmonitor

Swedish Political Intelligence Platform — democratic transparency, evidence-based analysis and AI-generated political news, powered by official open data and a fully autonomous agentic newsroom.

🎯 Mission

Strengthen Swedish democracy through systematic transparency.

Riksdagsmonitor exists to put rigorous, evidence-based political intelligence in the hands of every citizen, journalist, researcher and policymaker. We combine:

• 🕵️ Structured intelligence tradecraft — ACH, SWOT, PESTLE, STRIDE, political-risk scoring, OSINT/INTOP methodology, ICD-203 Key Judgments
• 🔍 Democratic transparency — every claim traceable to a primary source (dok_id, vote count, named MP, government document) or it does not get published
• 🤖 AI-generated political news — a fully autonomous newsroom turning open data into 14-language analysis articles, daily
• 📊 50+ years of historical evidence — 1971–2024 voting records, document corpus, and party-evolution analytics from the Citizen Intelligence Agency (CIA) platform
• ⚖️ Neutrality & GDPR by design — equal treatment of all 8 parliamentary parties, public-data only, privacy-by-design architecture, explicit democratic safeguards

The platform is non-partisan, open-source (Apache-2.0), and operated under the Hack23 ISMS with full ISO 27001:2022 / NIST CSF 2.0 / CIS Controls v8.1 alignment. It does not collect user data, does not run ads, does not push narratives, and is architecturally designed so it cannot be weaponised for partisan influence.

🌐 Explore the Platform

Five flagship pages anchor the public site. Each is multilingual (14 languages), WCAG 2.1 AA accessible, SEO-optimised with JSON-LD structured data and hreflang alternates, and CSP-hardened with Subresource Integrity (SRI) on every CDN asset.

🌍 14 supported languages: English · Swedish · Danish · Norwegian · Finnish · German · French · Spanish · Dutch · Arabic (RTL) · Hebrew (RTL) · Japanese · Korean · Chinese.

🤖 AI-Generated Political Intelligence News

"While traditional newsrooms debate whether AI will replace journalists, Riksdagsmonitor already runs a fully autonomous political-intelligence newsroom — 14 agentic workflows, 14 languages, zero human editors, and a publication schedule that would bankrupt any legacy outlet trying to keep up."

What makes it different

Traditional AI-generated news is shallow — it rewrites press releases. Riksdagsmonitor's pipeline performs deep political-intelligence analysis before a single sentence of an article is written:

• 🔎 Source verification — every claim traced to official Riksdag/Regering data via the riksdag-regering MCP server (32+ tools)
• ⚖️ Multi-party balance — algorithmic fairness across all 8 parliamentary parties, no editorial bias possible
• 📊 Quantitative rigor — voting cohesion metrics, attendance scoring, legislative productivity indices, ICD-203 Key Judgments, 45-rule transparency scoring
• 🌐 14-language reach — culturally adapted political analysis with RTL support (Arabic / Hebrew), not machine translation
• 🛡️ GDPR-compliant OSINT — only public parliamentary data; political opinions are processed under GDPR Art. 9(2)(e) (manifestly made public) / 9(2)(g) (substantial public interest)
• 🔭 Forward-look coverage — week / month / quarter / year / election-cycle horizons with registry-driven horizon stratification (see analysis/article-types.json)
• 🚦 Hard analysis gate — every news workflow MUST produce 9 (single-type) or 14 (Tier-C) analysis artifacts on disk before article generation; the gate at .github/prompts/05-analysis-gate.md is non-negotiable
• 🧪 Quality gates — HTMLHint validation, link checking, accessibility (WCAG 2.1 AA) and translation parity in CI before publication

End-to-end pipeline

flowchart LR
  A[📥 MCP + CIA + SCB + IMF<br/>data download] --> B[📐 Apply methodology<br/>analysis/methodologies]
  B --> C[📋 Populate templates<br/>analysis/templates]
  C --> D[📂 Write 9 or 14 artifacts<br/>analysis/daily/$DATE/$SUBFOLDER]
  D --> E{🚦 Analysis Gate<br/>prompts/05}
  E -- pass --> F[📰 Aggregate → article.md<br/>scripts/aggregate-analysis.ts]
  E -- fail --> C
  F --> G[🌐 Sanitised HTML<br/>scripts/render-articles.ts]
  G --> H[🌍 Translate into<br/>12 other languages]
  H --> I[🔀 One PR per article type<br/>S3 + CloudFront deploy]
  style A fill:#0a0e27,stroke:#00d9ff,color:#e0e0e0
  style E fill:#dc3545,stroke:#b02a37,color:#fff
  style I fill:#1a1e3d,stroke:#ffbe0b,color:#e0e0e0

A new .md artifact written anywhere under analysis/daily/$DATE/$SUB/ is enough to publish an English + Swedish HTML article on the next CI build — there is no manual scaffolding, no template fill-in, and no per-type generator class. The dedicated news-translate workflow then propagates to the remaining 12 languages out-of-band. See Article-Generation.md for the full agentic-workflow contract.

Autonomous publication schedule

| Time (UTC) | Workflow | Coverage | Frequency | |:-----------|:---------|:---------|:----------| | 🌅 04:00 | Committee Reports | Utskottsbetänkanden analysis, voting breakdowns | Mon–Fri | | 🌅 05:00 | Propositions | Government bills, legislative impact assessment | Mon–Fri | | ☀️ 06:00 | Motions | Opposition proposals, party-strategy decoding | Mon–Fri | | ❓ 07:00 | Interpellations | Ministerial accountability, evasion detection | Mon–Fri | | 🔮 07:00 | Week Ahead | Parliamentary calendar preview, agenda intelligence | Friday | | 📅 08:00 | Month Ahead | Strategic outlook, coalition forecasting | 1st of month | | 🔍 10:00 & 14:00 (Mon–Fri); 12:00 (Sat/Sun) | Real-Time Monitor | Breaking political developments, flash analysis | Mon–Fri (×2) + weekends | | 🌍 11:00 & 17:00 (Mon–Fri); 14:00 (Sat/Sun) | Translate | 12 additional languages from EN/SV cores | Daily | | 🌆 18:00 (16:00 Sat) | Evening Analysis | Deep-dive intelligence synthesis | Mon–Sat | | 📊 09:00 | Weekly Review | Week-in-review scorecard, party performance | Saturday | | 📈 10:00 | Monthly Review | Comprehensive monthly intelligence assessment | 28th of month |

Authoritative schedules defined in .github/workflows/news-*.lock.yml — see .github/workflows/README.md for the complete inventory.

Result: dozens of articles per week across 14 languages — hundreds of localised intelligence products each month, generated autonomously with zero editorial intervention, every one of them auditable down to its source dok_id.

🕵️ Political Intelligence Methodology

Every analysis on the platform is governed by an explicit, version-controlled methodology. The full library is browseable at https://riksdagsmonitor.com/political-intelligence.html; the canonical sources live in analysis/.

| Layer | Document | What you'll find | |:------|:---------|:-----------------| | 🧭 Framework | analysis/README.md | Artifact taxonomy, 9-artifact / 14-artifact contract, on-disk daily layout | | 📐 Methodology library | analysis/methodologies/README.md | 11 methodology documents — AI-Driven Analysis Guide · OSINT Tradecraft Standards · Political Risk Methodology · Political SWOT Framework · Political Threat Framework · Political Classification Guide · Electoral Domain Methodology · Synthesis Methodology · Per-Document & Per-Artifact Methodologies · Strategic Extensions (scenario / wildcard / long-horizon) · Structural Metadata · Political Style Guide | | 📋 Template library | analysis/templates/README.md | 23 templates — 8 core single-type (T1–T8) plus 15 extended / Tier-C (executive-brief, scenario-analysis, coalition-mathematics, election-2026, historical-parallels, comparative-international, devil's-advocate, intel-assessment / ICD-203 Key Judgments, …) | | 🚦 News-generation contract | .github/prompts/README.md | 8 bounded-context prompt modules + Tier-C extension; the single blocking analysis gate | | ⚙️ Workflow orchestration | .github/workflows/README.md + WORKFLOWS.md | How each news-*.md source compiles to a hardened .lock.yml with SHA-pinned actions, egress firewall (Squid + iptables) and five-layer safe-outputs | | 🔍 IMF integration | analysis/imf/README.md + .github/aw/ECONOMIC_DATA_CONTRACT.md | Macro/fiscal/monetary/external context with T+5 projections; canonical pattern for every economic claim | | 🏛️ Statskontoret integration | analysis/statskontoret/README.md | Swedish agency structure and central-government budget execution (årsutfall / månadsutfall / tidsserier) | | 🤖 Specialist personas | .github/agents/README.md | 14 persona agents incl. intelligence-operative, news-journalist, content-generator + 9 workflow-specialist agents + shared developer.instructions.md | | 🧠 Skills library | .github/skills/README.md | 91 skills across 12 functional categories — 11 political-intelligence, 5 journalism, 14 ISMS/security, 13 GitHub Agentic Workflows, … |

Evidence standard

Every claim must tie to: a dok_id citation, a named actor, a vote count, or a primary-source URL. Generic statements without evidence are rejected by the analysis gate. AI is an accelerator — never an excuse for shallow output.

AI-FIRST quality principle

Minimum 2 complete iterations for every analysis. Pass 1 produces the artifact; Pass 2 reads everything back and improves every section (stronger evidence, deeper analytic rigor, broader stakeholder coverage, quantified risk). Workflows that complete in under 75 % of their allocated time are treated as failed. See AGENTS.md §AI-FIRST.

📊 Interactive Intelligence Dashboards

Five flagship Chart.js / D3.js dashboards on https://riksdagsmonitor.com/ (and the consolidated CIA Intelligence Dashboard):

| # | Dashboard | Coverage | Visualisations | Data | |:-:|:----------|:---------|:---------------|:-----| | 1 | 🌡️ Seasonal Activity Patterns | 2002–2025 quarterly (23+ years) | Heat maps, time series, Z-score anomaly detection (|Z| ≥ 2.0) | cia-data/seasonal/ | | 2 | 👤 Politician Dashboard | 349 current MPs | Top-10 rankings, 45-rule risk profiles, influence metrics | cia-data/politician/ | | 3 | 🗳️ Pre-Election Monitoring | Q4 2023 → 2025 | Historical comparisons, election-year vs non-election Q4 patterns, early-warning indicator matrix | cia-data/pre-election/ | | 4 | 🏛️ Party Performance & Effectiveness | 1990–2026 (37 years, 8 parties) | Effectiveness trends, comparative bars, coalition-alignment, momentum with P50/P90 percentiles | cia-data/party/ | | 5 | 🚨 Anomaly Detection & Early Warning | 2002–2026 (41 quarters) | Timeline · Z-score distribution · type breakdown · severity heat map · recent-anomaly feed | cia-data/seasonal/ |

Dashboard properties — local-first data loading with 1-hour cache; WCAG 2.1 AA accessible (keyboard, screen reader, 4.5:1 contrast); 14-language; responsive 320 px → 1440 px+; CSP-compliant with SRI hashes (sha384) on all CDN resources.

🗳️ Transparency Statistics

Live numbers (updated daily at 03:00 CET via update-cia-csv-data.yml):

| Metric | Value | Note | |:-------|:------|:-----| | 👥 Current MPs | 349 | All active Members of Parliament | | 📜 Historical politicians | 2,494 | 1971–2024 (50+ years) | | 🗳️ Votes analysed | 3.5+ million | Comprehensive voting-record corpus | | 📄 Documents processed | 109,000+ | Parliamentary documents (motions, propositions, interpellations, …) | | 🏛️ Committee documents | 8,740 | Committee work tracked | | ⚠️ Rule violations identified | 2,308 | Across 45 transparency rules | | 🇸🇪 Political parties | 8 | All Riksdag-represented parties | | ⏱️ CIA subsystems | 15 | anomaly · coalition · committee · distribution · election · election-cycle · ministry · parties · party · percentile · politician · pre-election · risk · seasonal · voting | | 📰 News articles published | 2,669+ files under news/ | 14 languages |

Data source: extraction_summary_report.csv · cached in cia-data/production-stats.json (24 h freshness).

🔗 Authoritative Data Sources

Riksdagsmonitor uses a provider-tiered data architecture, with each provider chosen for its area of strength.

| Tier | Provider | Scope | Access | |:-----|:---------|:------|:-------| | 🏛️ Parliamentary primary | Riksdagen Open Data | Documents, motions, votes, MPs, speeches, committees | riksdag-regering MCP server (32+ tools) | | 🏢 Government primary | Regeringskansliet | Propositions, SOU, Ds, directives, press releases | riksdag-regering MCP server | | 📈 Primary economic | IMF (Datamapper REST + SDMX 3.0) | GDP, growth, unemployment, inflation, fiscal balance, debt, current account, bilateral trade, commodity prices, exchange rates, government spending by COFOG function — with T+5 projections | Pure-TypeScript client scripts/imf-client.ts (intentionally non-MCP) | | 🇸🇪 Swedish ground truth | SCB (PxWeb v2) | Swedish monthly labour (AKU), monthly inflation (KPI), regional/municipal, budget execution | scb MCP server (@jarib/[email protected], 1,200+ tables) | | 🏛️ Statskontoret | Statskontoret | Authority count, dept grouping, leadership form, FTE / headcount, central-government budget outturns | scripts/statskontoret-client.ts | | 🌍 Non-economic residue | World Bank | Governance (WGI, source=75), environment, social/education residue, defence historicals | world-bank MCP server ([email protected]) | | 🗳️ Election authority | Valmyndigheten | Election results, voter turnout, electoral statistics | Public datasets | | 💰 ESV | Ekonomistyrningsverket | Government budget and spending data | Public datasets | | 🕵️ Citizen Intelligence Agency | Hack23/cia | 15 CIA subsystems consumed nightly via update-cia-csv-data.yml | JSON / CSV exports |

Why this split — IMF uses uniform SNA 2008 / GFSM 2014 / BPM6 methodology across countries (essential for cross-country comparison), publishes T+5 projections (essential for look-ahead workflows), and has fresher data than World Bank's economic indicators. World Bank remains canonical for the classes IMF does not publish (WGI governance, environment). SCB is the Swedish-specific ground-truth layer. Banned phrases (e.g. "the World Bank reports Swedish GDP growth of …") and vintage discipline (data > 6 months old → annotation required) are enforced by CI per .github/aw/ECONOMIC_DATA_CONTRACT.md v2.1.

🏗️ Technical Architecture

Full system architecture (C4 Context / Container / Component / Dynamic views) lives in ARCHITECTURE.md (v2.2).

Stack

• Frontend — Static HTML5 / CSS3 with TypeScript-built Chart.js / D3.js dashboards (no SPA framework, mobile-first, cyberpunk theme)
• Build — Vite 8 (ES modules, code splitting, SRI via vite-plugin-sri-gen)
• Visualisation — Chart.js 4 + D3.js 7, hosted locally on CloudFront
• Testing — Vitest 4 (2,890 unit tests, 100 % pass rate, 70 % line coverage) + Cypress 15 (E2E)
• Hosting — AWS CloudFront + S3 dual-region (us-east-1 primary, eu-west-1 replica) via OIDC; GitHub Pages as DR fallback
• CI/CD — 50 GitHub Actions workflow files (22 standard .yml + 14 agentic .md sources + 14 compiled .lock.yml); SHA-pinned, step-security/harden-runner everywhere
• Data Platform — Citizen Intelligence Agency (CIA) Java/Spring Boot backend + 15 CIA subsystems
• Runtime — Node.js 26.x

Architecture documentation portfolio

| Current State | Future State | |:--------------|:-------------| | 🏗️ Architecture | 🚀 Future Architecture | | 📊 Data Model | 📊 Future Data Model | | 🔄 Flowcharts | 🔄 Future Flowcharts | | 🔄 State Diagrams | 🔄 Future State Diagrams | | 🗺️ Mindmap | 🗺️ Future Mindmap | | 💼 SWOT | 💼 Future SWOT |

🔐 Security, Privacy & ISMS Compliance

Full controls in SECURITY_ARCHITECTURE.md · threat model in THREAT_MODEL.md · CRA conformity in CRA-ASSESSMENT.md.

Classification (per Hack23 Classification Framework)

| Dimension | Level | Note | |:----------|:------|:-----| | 🔒 Confidentiality | 🟢 Public | All data intentionally disclosed (Swedish open data + website content) | | ✅ Integrity | 🟠 High | Automated validation, GPG-signed commits, SLSA build provenance | | 🟢 Availability | 🟠 High | 99.998 % design target (CloudFront 99.9 % SLA + multi-region S3 + GitHub Pages DR) | | 🏷️ Privacy | 🟠 Personal (public officials only) | GDPR Art. 6(1)(e/f); Art. 9(2)(e/g) for political opinions; no end-user PII, no accounts, no ads, no tracking | | ⏱️ RTO / RPO | 1–4 h / 4–24 h | Automated multi-region failover, daily data refresh | | 💰 Business impact | 🟢 Low (financial) · 🟡 Moderate (reputational) | Open-source project, no revenue dependency |

Compliance frameworks

• ISO 27001:2022 — 7 Annex A controls implemented · NIST CSF 2.0 — 6 functions aligned · CIS Controls v8.1 — 6 controls implemented
• GDPR — public-interest / legitimate-interest grounds for public-official data; political opinions under Art. 9(2)(e)/(g)
• EU CRA — self-assessment in CRA-ASSESSMENT.md
• OpenSSF Best Practices — Project #12069

Defence-in-depth highlights

• 🔒 HTTPS-only — TLS 1.3, HSTS, CSP, X-Frame-Options, X-Content-Type-Options
• 🧱 Five-layer agentic-workflow security — read-only agent tokens, zero secrets in agent context, containerised + Squid/iptables egress firewall, safe-outputs validation, AI threat-detection scan
• 🔐 SHA-pinned actions + step-security/harden-runner + Dependabot + CodeQL + Secret Scanning + dependency-review + OIDC-only AWS deploy
• 📜 Aligned ISMS policies — Information Security Policy · Secure Development Policy · Threat Modeling · AI Policy · Vulnerability Management · Change Management · Incident Response Plan · Open Source Policy

| Metric | Status | |:-------|:-------| | Risk level | 🟢 LOW (5.52 / 10.0 — 99.7 % risk reduction) | | HTML validation | ✅ 0 errors (HTMLHint) | | Dependencies | ✅ Dependabot clean | | Secrets | ✅ Secret Scanning enabled | | Code scanning | ✅ CodeQL active |

📦 npm Package

The platform's reusable shared utilities are published as riksdagsmonitor with SLSA build provenance.

npm install riksdagsmonitor

Includes — Theme System (cyberpunk, WCAG AA) · Chart Factory (Chart.js with responsive breakpoints + keyboard nav) · Resilient Data Loader (retry, cache, CSV/JSON) · DOM utilities · Full TypeScript types · 12 dashboard modules · CIA intelligence modules.

import { getActiveThemeColors, BREAKPOINTS, getPartyColor } from 'riksdagsmonitor';
import { loadJSON, loadCSV, createDataSource } from 'riksdagsmonitor';
import { showLoadingState, formatNumber, debounce } from 'riksdagsmonitor';
import { createChart, initDashboardSection } from 'riksdagsmonitor/shared/chart-factory';
import { CIADataLoader } from 'riksdagsmonitor/cia/data-loader';
import { CIADashboardRenderer } from 'riksdagsmonitor/cia/visualizations';

Peer dependencies — chart.js d3 papaparse (required for dashboards); chartjs-plugin-annotation (optional, loaded conditionally).

🚀 Development

Prerequisites

Node.js ≥ 26 · npm ≥ 10 · Git with GPG signing · GitHub MFA + SSH keys.

Quick start

git clone [email protected]:Hack23/riksdagsmonitor.git
cd riksdagsmonitor
npm install
npm run dev          # Vite dev server with hot reload → http://localhost:8080

# Tests
npm test                 # Vitest unit (2,890 tests)
npm run test:coverage    # with coverage
npm run cypress:open     # E2E interactive
npm run e2e              # full E2E (build + preview + Cypress)

# Quality
npm run htmlhint         # HTML5 validation
npm run linkcheck        # link integrity (linkinator)

# Production
npm run build            # Vite production build → dist/
npm run preview          # http://localhost:4173

CI/CD

• HTMLHint validation · Linkinator · Vitest (2,890 tests) · Cypress · Vite build · Dependency review · CodeQL · Secret scanning · Translation validation
• Releases — workflow_dispatch or v*.*.* tag → SBOM (SPDX) + SHA-256 + SLSA Build Provenance attestations + dual deployment (S3/CloudFront primary, GitHub Pages DR)
• gh attestation verify riksdagsmonitor-vX.Y.Z.zip -R Hack23/riksdagsmonitor

See WORKFLOWS.md and RELEASE_PROCESS.md for the canonical reference.

🤖 GitHub Copilot — Agents, Skills & Agentic Workflows

Riksdagsmonitor uses GitHub Copilot personas, skills and agentic workflows as first-class automation. Directory READMEs are the single source of truth; AGENTS.md and SKILLS.md are the long-form catalogs.

| Surface | Catalog | Count | |:--------|:--------|:------| | 🤖 Custom agents | .github/agents/README.md | 24 files (14 personas + 9 workflow-specialists + 1 shared developer-instructions) | | 🧠 Skills | .github/skills/README.md | 91 skills across 12 functional categories | | 📜 Prompt modules | .github/prompts/README.md | 8 bounded-context modules + Tier-C extension | | ⚙️ Workflows | .github/workflows/README.md | 50 files (22 standard + 14 agentic sources + 14 compiled) | | 🔌 MCP servers | .github/copilot-mcp.json | 8 — riksdag-regering, scb, world-bank, github (insiders), filesystem, memory, sequential-thinking, playwright |

14 persona agents (assignable via assign_copilot_to_issue): security-architect · documentation-architect · quality-engineer · frontend-specialist · isms-compliance-manager · deployment-specialist · devops-engineer · intelligence-operative · news-journalist · content-generator · data-pipeline-specialist · data-visualization-specialist · task-agent · ui-enhancement-specialist.

9 workflow-specialist agents (.agent.md, invoked from workflows): agentic-workflows · ci-cleaner · contribution-checker · create-safe-output-type · custom-engine-implementation · grumpy-reviewer · interactive-agent-designer · technical-doc-writer · w3c-specification-writer.

📖 Documentation Index

Project documentation

• Article-Generation.md — Canonical agentic-newsroom contract (data → analysis → article → HTML → S3)
• AGENTS.md · SKILLS.md — Copilot persona & skill catalogs
• WORKFLOWS.md — End-to-end CI/CD reference (v7.2)
• RELEASE_PROCESS.md — Release with attestations & docs-as-code
• TRANSLATION_GUIDE.md — 14-language standards & glossary
• SECURITY.md · CONTRIBUTING.md · CODE_OF_CONDUCT.md · LICENSE

Future planning

• FUTURE_WORKFLOWS.md · FUTURE_MINDMAP.md · FUTURE_ARCHITECTURE.md · FUTURE_SECURITY_ARCHITECTURE.md · FUTURE_SWOT.md

External

• 📚 API Documentation (JSDoc) · Test Coverage · Cypress E2E Reports
• 🕵️ CIA Platform · CIA JSON Export Specs
• 🛡️ Hack23 ISMS-PUBLIC · 📰 Hack23 Blog

🔮 Future Roadmap (2026 → 2037)

From agentic news generation to AGI-powered democratic intelligence — an 11-year evolution.

Detailed planning: FUTURE_WORKFLOWS.md · FUTURE_MINDMAP.md · FUTURE_ARCHITECTURE.md

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timeline
    title Riksdagsmonitor Evolution — 2026 → 2037
    section Phase 3 — Foundation (2026)
        Q1-Q2 : ✅ TypeScript migration · 14 agentic news workflows
              : ✅ 14 languages · S3 + GitHub Pages dual deploy
        Q3-Q4 : 🔄 CIA pipeline integration · predictive dashboards
    section Phase 4 — Predictive Intelligence (2027–2029)
        2027 : Real-time streams · ML election models · Nordic expansion (DK · NO · FI)
        2028 : Multi-modal (audio/video) · AI editorial board · self-healing pipelines
        2029 : Fully autonomous · expert-level analysis · API platform launch
    section Phase 5 — Scale (2030–2033)
        2030-2031 : EU-wide coverage (27 + EP) · sovereign-AI evaluation
        2032-2033 : Global parliamentary watch (100+ democracies) · every UN language · pre-AGI
    section Phase 6 — AGI Era (2034–2037)
        2034-2035 : AGI-enhanced intelligence · 195 parliaments · predictive governance
        2036-2037 : Transformative democracy platform · democratic safeguards architecture

| Year | Automation assets | AI model | Key capability | |:----:|:----------------:|:---------|:---------------| | 2026 | 44 → 50 | Opus 4.7–4.9 | 🤖 Agentic news generation (current) | | 2027 | 50–55 | Opus 5.x | 🔮 Predictive analytics & Nordic expansion | | 2028 | 55–65 | Opus 6.x | 🎙️ Multi-modal content | | 2029 | 65–75 | Opus 7.x | 🚀 Fully autonomous pipeline | | 2030–2033 | 75–100 | Opus 8–10.x / pre-AGI | 🌍 EU → Global coverage | | 2034–2037 | 100–120+ | AGI / post-AGI | ⚡ Transformative democracy platform |

Version numbers are illustrative — actual products and paradigm shifts (quantum AI, neuromorphic computing) will vary. Architecture is designed for graceful adaptation while preserving democratic safeguards: human oversight maintained regardless of AI capability, anti-weaponisation by design, constitutional alignment encoded in platform architecture.

🤝 Contributing

Contributions welcome under Hack23's secure-development standards.

1. Fork the repository and create a descriptive feature branch
2. GPG-sign every commit · enable MFA on your GitHub account
3. Run quality checks locally (npm run htmlhint && npm test && npm run build)
4. Submit a pull request with comprehensive description; address review feedback
5. Never introduce security vulnerabilities; follow CONTRIBUTING.md and CODE_OF_CONDUCT.md

🏢 About Hack23

Hack23 AB (Org.nr 559534-7807) — Swedish cybersecurity and open-source intelligence consultancy.

• 🌐 www.hack23.com · 📰 Blog
• 💼 LinkedIn — Hack23
• 👨‍💻 Founder: James Pether Sörling, CISSP, CISM
• 🛡️ Public ISMS · 🕵️ CIA platform

📜 License

Copyright © 2008–2026 Hack23 AB (Org.nr 559534-7807). Licensed under the Apache License 2.0 — see LICENSE.