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| [[OpenGov summary]] | | [[OpenGov summary]] |
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| 1. High-Level Architecture
| | OpenGov Encyclopedia Concept — March 4, 2026 |
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| External Sources (Public Only)
| | Technical Document: How OpenGov Encyclopedia Would Work |
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| ├── Federal Register API / RSS
| | 1. High-Level Architecture |
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| ├── USAspending.gov V2 API
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| ├── Curated high-signal agency pages (~200–300 URLs)
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| └── Agency-submitted URLs/PDFs (via simple form)
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| ↓ (scheduled Lambda or webhook)
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| Orchestration Layer (AWS GovCloud Lambda or similar)
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| ├── Grok (GSA OneGov API – inherited FedRAMP controls)
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| ├── Optional secondary FedRAMP LLM (consistency check)
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| ├── Cargo validation rules + Redis cache
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| └── Clearance Dashboard (simple internal MediaWiki page or lightweight app)
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| ↓ (only approved changes)
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| MediaWiki Core (FedRAMP-authorized hosting)
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| ├── Citizen-Centric Pages (USWDS-integrated skin)
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| ├── Cargo tables (API-first knowledge graph)
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| ├── MediaWiki API (for Grok bot edits)
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| └── Audit / revision tags table
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| <nowiki>**</nowiki>OpenGov Encyclopedia**
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| <nowiki>**</nowiki>Executive Summary / Sales Pitch**
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| <nowiki>**</nowiki>March 4, 2026**
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| <nowiki>**</nowiki>To senior federal officials responsible for digital government strategy, technology modernization, public transparency, and AI adoption**
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| The Federal government and its inner workings are vast. Resources such as USA.gov, Search.gov, and USAspending.gov already provide essential public-facing services, search, and spending transparency.
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| In the age of AI, we propose a lightweight, dual-purpose knowledge infrastructure to **supplement** — never replace — these existing assets:
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| - **Citizen-centric interface** — clear, narrative pages in the familiar MediaWiki/Wikipedia format (with a USWDS-integrated skin that looks and feels like a standard federal site).
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| - **API-first knowledge graph** — machine-readable, queryable structured data (via Cargo) that makes the entire federal organizational landscape — agencies, sub-organizations, programs, partnerships, authorizing legislation, funding relationships — understandable and reliable for AI systems.
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| OpenGov Encyclopedia would serve as the **authoritative ground truth layer** the federal government needs to feed clean, structured data into the dozens of agency LLMs and chatbots that are currently hallucinating on messy websites and PDF archives.
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| It is **not** another public-facing website competing with USA.gov or any agency domain. It is a supplemental knowledge layer that:
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| - Respects agency ownership by always linking back to the original source as the single point of truth.
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| - Helps citizens accomplish real tasks by providing context and then directing them to official .gov destinations.
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| - Provides the structured “fuel” agencies need for more accurate AI-driven services.
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| Powered by **Grok** through the GSA OneGov agreement (with inherited security controls), the platform uses a **zero-base burden strategy**:
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| - Grok + automated orchestration handle ~80% of content creation, extraction, and verification.
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| - Federal staff perform only exception-based, one-click attestation.
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| This is high-octane fuel for federal AI: a single, standardized semantic layer that reduces fragmentation, improves accuracy across government digital services, and delivers measurable value with virtually no ongoing manual workload.
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| <nowiki>**</nowiki>Why Now?**
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| Agency LLMs are starving for clean, structured “ground truth.” Most RAG pipelines today scrape inconsistent .gov websites or parse PDFs, leading to frequent hallucinations and unreliable outputs.
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| OpenGov Encyclopedia closes this gap by providing:
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| - Precise, typed relationships (which agency sponsors which program? Which legislation authorizes it? What funding flows connect them?)
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| - Parametric search (e.g., “all active programs with >$50M funding related to arid land agriculture”)
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| - Real-time freshness from monitored sources
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| - Full audit trail and human attestation for compliance
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| <nowiki>**</nowiki>Complement, Not Replace — Respecting Agency Ownership**
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| | Platform | Primary Role | How OpenGov Encyclopedia Complements It |
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| |-----------------------|---------------------------------------------------|-----------------------------------------------------------------------------|
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| | **Agency websites** | Primary authoritative content and services | Creates concise summaries + relationship maps; always links back to the original agency page as the source of truth |
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| | **USA.gov** | Citizen front door for navigation & task completion | Provides deep context and task-oriented discovery so users reach USA.gov (or agency sites) better informed and ready to act |
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| | **Search.gov** | On-site search across federal domains | Supplies structured entities and JSON-LD sitemaps for richer, more accurate results |
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| | **USAspending.gov** | Raw spending & award data | Adds narrative explanations and program relationships around the numbers |
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| <nowiki>**</nowiki>Practical, Task-Oriented Value**
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| The platform is organized around real tasks people want to accomplish, not just agency names. Examples of built-in topic/task pages include:
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| - Prepare for a disaster (links relevant FEMA, NOAA space weather, and HHS programs + direct USA.gov action links)
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| - Understand AI regulations and opportunities (cross-agency view of NIST standards, grant programs, and policy updates)
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| - Find housing or small-business assistance (structured program finder with sponsor, eligibility hints, and official application links)
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| - Research space weather impacts (connects NOAA monitoring, research programs, and emergency response frameworks)
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| Every task page gives context and relationships, then immediately directs users to the official agency or USA.gov page to complete the action.
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| <nowiki>**</nowiki>Zero-Base Burden Strategy (80/20 Governance Model)**
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| - 80% Automated Orchestration — Grok monitors a small, curated list of high-signal sources. When a change is detected, it auto-drafts the update and populates Cargo fields.
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| - 20% Human Attestation — Staff simply click “Approve” on the Clearance Dashboard. No writing required.
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| - Result — 90%+ reduction in manual labor while maintaining full federal control and compliance.
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| <nowiki>**</nowiki>Cost & Next Steps**
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| - Near-zero new infrastructure cost (MediaWiki + Cargo open-source; Grok already available via OneGov).
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| - Phased pilot on high-value task areas (AI initiatives, space weather, disaster preparedness, housing assistance) in weeks.
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| <nowiki>**</nowiki>Next Steps (Executive-Actionable)**
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| 1. Proof of Concept Review — View the live “AI Policy & Space Weather Task” prototype running on MediaWiki + Cargo.
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| 2. Feasibility Brief — 30-minute technical call with GSA OneGov leads to confirm Grok-to-wiki pipeline interoperability.
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| 3. Governance Workshop — Define “Single Source of Truth” protocols that respect agency content ownership and prevent duplication.
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| OpenGov Encyclopedia is not another website — it is the clean, structured fuel for the federal AI ecosystem and a helpful map that respects agency ownership while helping citizens accomplish real tasks.
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| We are prepared to demonstrate the prototype and tailor the approach to your priorities.
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| Thank you for your time. We look forward to partnering.
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| <nowiki>**</nowiki>Contact:** [Your name / team]
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| <nowiki>**</nowiki>OpenGov Encyclopedia Concept** — March 4, 2026
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| <nowiki>**</nowiki>Technical Document: How OpenGov Encyclopedia Would Work**
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| <nowiki>**</nowiki>1. High-Level Architecture**
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| ```
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| External Sources (Public Only) | | External Sources (Public Only) |
OpenGov summary
OpenGov Encyclopedia Concept — March 4, 2026
Technical Document: How OpenGov Encyclopedia Would Work
1. High-Level Architecture
External Sources (Public Only)
├── Federal Register API / RSS
├── USAspending.gov V2 API
├── Curated high-signal agency pages (~200–300 URLs)
└── Agency-submitted URLs/PDFs (via simple form)
↓ (scheduled Lambda or webhook)
Orchestration Layer (AWS GovCloud Lambda or similar)
├── Grok (GSA OneGov API – inherited FedRAMP controls)
├── Optional secondary FedRAMP LLM (consistency check)
├── Cargo validation rules + Redis cache
└── Clearance Dashboard (simple internal MediaWiki page or lightweight app)
↓ (only approved changes)
MediaWiki Core (FedRAMP-authorized hosting)
├── Citizen-Centric Pages (USWDS-integrated skin)
├── Cargo tables (API-first knowledge graph)
├── MediaWiki API (for Grok bot edits)
└── Audit / revision tags table
2. Seeding the Initial Content (Phase 1: Weeks 1–4)
Step 1: Infrastructure Setup (Week 1)
- Deploy MediaWiki + Cargo + USWDS-aligned skin on FedRAMP hosting.
- Define core Cargo tables (Agency, Program, Organization, Topic).
- Configure Grok bot account via GSA OneGov.
Step 2: Seed Agencies & Major Organizations (Weeks 2–3)
- Use the official USA.gov A-Z Agency Index + agency “About” pages as the seed list (~150–200 URLs).
- Grok batch job (one-time run):
- Prompt: “From this official agency page, extract: name, parent, mission summary, website, key sub-components, leadership. Output valid wikitext + Cargo fields. Cite source URL. Confidence score required.”
- Grok creates pages + populates Cargo tables.
- All items route to Clearance Dashboard for batch attestation (high-confidence auto-pass after validation).
Step 3: Seed Programs & Initiatives (Weeks 3–4)
- Sources: Federal Register notices, USAspending.gov API, curated agency program pages.
- Grok prompt: “Create Program page from this source. Fill Cargo: sponsor, purpose, start_date, duration, funding, related agencies. Output wikitext + Cargo. Cite source.”
- Review via Clearance Dashboard.
Step 4: Seed Task/Topic Pages (Week 4)
- Grok uses seeded data: “Create ‘Prepare for a Disaster’ task page linking relevant programs/agencies. Add plain-language explanation and official USA.gov links.”
- Links always point back to agency/USA.gov as source of truth.
3. Ongoing Updates (Post-Week 4)
- Daily Grok orchestration monitors curated high-signal list + Federal Register + USAspending API.
- Change detected → Grok proposes update → Clearance Dashboard.
- Agency staff forward URLs via form → Grok processes → attestation.
- No broad scraping — only targeted, public, high-value pages.
4. Technical Safeguards
- Scalability — Cargo for narrative/relationships; PostgreSQL offload for high-volume numerics if needed.
- Auditing — Mandatory revision tags (source URL, timestamp, Grok score, attestation ID) in separate table.
- Transparency — Page badges show “AI-drafted – human-attested” + Trust Score tooltip.
- Accessibility — Early WCAG 2.2 AA audit; ARIA landmarks.
- Security — FedRAMP hosting, inherited controls from OneGov.
This setup ensures OpenGov Encyclopedia starts small, grows intelligently, stays accurate, and never competes with agency sites or USA.gov — it only adds context and connections that drive users back to the official sources.
