DVP CMS

The Governance Layer for AI-Generated Content

The world has tools to generate content (ChatGPT, Claude, Jasper) and tools to store content (WordPress, Contentful). What's missing is the governance layer in between—the system that manages the lifecycle of facts within that content.

DVP CMS fills that gap. It's the first content platform where AI-generated content continuously evolves through performance feedback while human expertise is permanently preserved.

The AI Content Dilemma

Companies using generative AI for content face an impossible choice:

Option A: Manual Content

High quality. High trust. But expensive, slow, and doesn't scale.

Option B: AI Content

Cheap and fast. But it hallucinates, goes stale, and overwrites your human corrections every time you regenerate.

You've seen it happen: Your expert spent an hour correcting the AI's mistakes. Next month, you regenerate the content to keep it fresh—and all those corrections vanish. The AI makes the same mistakes again.

DVP CMS offers a third option: Managed Evolution.

How It Works

DVP CMS separates what the AI can change from what must be preserved. When you regenerate content:

Traditional CMS: Create → Edit → Publish → Done

DVP CMS: Generate → Publish → Track → Learn → Regenerate (better) → Repeat

The result is truth distillation: Over regeneration cycles, verified facts accumulate while unverified filler gets replaced. Your content converges toward ground truth—automatically. Human expertise compounds instead of being lost. AI becomes a tool that helps instead of creating rework.

Know Why Every Decision Was Made

DVP CMS is built on Event Sourcing—the same architecture used by financial trading systems where audit trails are non-negotiable. Every change is captured as an immutable event.

When a regulator asks "Why did your website claim this product is eco-friendly?"—you can answer. Trace back through the event history: which data source provided the claim, when it was added, what authority level it had, and why the AI included it.

This isn't version control. It's time travel. Reconstruct the exact state of any content at any point in history, with full provenance for every fact.

Features

Intelligent Content Evolution

  • Automatic regeneration based on performance metrics
  • Fragment-based composition - granular control over what regenerates
  • Full version history with auditability
  • Conflict resolution through authority hierarchy

Ground Truth Preservation

  • Human edits and expert knowledge survive regeneration
  • Integration with authoritative data sources (APIs, databases)
  • Time-based expiration for keeping data fresh
  • Provenance tracking - know the source of every piece of content

Multi-Provider AI Integration

  • OpenAI, Anthropic, and custom model support
  • Automatic failover with circuit breakers
  • Cost tracking and rate limiting

Content Guardrails

Every piece of AI-generated content passes through validation before publishing.

  • Prompt injection detection and blocking
  • Factual grounding scorer against source data
  • Pattern validation for content structure
  • Configurable fail modes (block, flag, or log)

Real-Time Event Streaming

  • WebSocket API for live content updates
  • Subscribe to specific content changes
  • JWT-authenticated connections
  • Auto-reconnection with exponential backoff

Admin Dashboard

  • Modern React interface with real-time updates
  • Content management with version timeline
  • Live analytics and quality metrics
  • Performance visualization and monitoring

Plugin Architecture

Plugins are evidence suppliers—they verify facts, pull live data, and submit evidence to the authority system.

  • Extensible hook system for custom workflows
  • Capability-based permissions model
  • Isolated plugin execution for security
  • Lifecycle management and health monitoring

Knowledge Graph

See how your content connects.

  • Automatic entity and relationship extraction
  • Cross-content claim linking
  • Find contradictions across pages
  • Context-aware content suggestions

Semantic Search

Find content by meaning, not just keywords.

  • Search across all your verified claims
  • Surface related content automatically
  • Context-aware content generation
  • Reuse high-authority facts across pages

Quality Monitoring

Catch problems before your users do.

  • Automatic trend detection
  • Alerts when quality degrades
  • Baseline tracking over time
  • Performance regression warnings

Production Observability

  • 40+ Prometheus metrics out of the box
  • Pre-built Grafana dashboards
  • Alerting integration (PagerDuty, Slack)
  • Health checks and dependency monitoring

Enterprise Deployment

  • Kubernetes-ready with HPA and Ingress
  • Database agnostic - PostgreSQL, MySQL support
  • CI/CD pipelines with security scanning
  • Secrets management (Vault, AWS)

Use Cases

Content Networks at Scale

You're running 100+ niche websites with 5,000+ pages total. AI generates the base content. Local experts add region-specific knowledge. Official APIs provide real-time data (weather, events, prices).

Every quarter, you regenerate to keep content fresh. Without DVP CMS, you'd lose all those expert additions. With it, the expert knowledge persists while stale marketing copy gets refreshed. The sites get better each cycle instead of resetting to zero.

Plugins: Weather API integration, event calendar sync, fact-checker for travel claims, broken link detection.

E-Commerce Product Catalogs

10,000 product descriptions. AI writes the initial copy. Your team adds regulatory compliance text ("not for children under 3") and brand voice corrections. Conversion tracking shows which descriptions sell.

When you regenerate, compliance text stays locked—no legal review needed. High-converting phrases persist. Only underperforming copy gets replaced. Your catalog improves through data, not guesswork.

Plugins: PII scanner for compliance, A/B test result importer, price API integration, inventory sync.

Technical Documentation

Your docs cover a product that ships monthly. Code examples must be exact—one wrong character breaks the tutorial. But explanatory text could always be clearer.

DVP CMS lets you lock the code blocks while regenerating the prose around them. When users report confusion, update the explanation. The fix persists forever, even as other sections evolve.

Plugins: Code syntax validator, broken link checker, readability scorer, version changelog sync.

News & Editorial at Volume

AI drafts articles from press releases and data feeds. Editors fact-check key claims and add expert quotes. Those verified facts become permanent—the AI can rephrase the article but can't contradict what editors confirmed.

Result: AI speed with editorial integrity. Scale without sacrificing accuracy.

Plugins: Google Fact Check API, Wikipedia citation linker, Slack notifications for editor review, RSS feed ingestion.

Architecture

DVP CMS is built on Event Sourcing and CQRS (Command Query Responsibility Segregation)—battle-tested patterns used by financial systems and high-reliability platforms. This foundation enables:

Platform Design Principles:

Why Not Just Use WordPress + AI?

You could bolt ChatGPT onto WordPress. Many do. Here's what you'll discover:

The WordPress + AI Approach:

  • AI generates content into a text field
  • Human edits that text field
  • Next regeneration overwrites the text field
  • Human edits are gone
  • Repeat forever

The problem isn't WordPress. It's that traditional CMSs store pages, not facts. They have no concept of "this sentence came from an API" vs "this sentence was verified by a human" vs "this sentence is AI filler."

The Headless CMS Approach (Contentful, Strapi):

  • Structured content with fields and schemas
  • Better than WordPress for separating data
  • But still no provenance tracking
  • No authority hierarchy between sources
  • No performance-based evolution
  • Regeneration still means starting over

Headless CMSs separate presentation from content. DVP CMS separates facts from filler.

What Makes DVP CMS Different

DVP CMS doesn't just store "pages." It understands where every piece of content came from and how much to trust it. When content regenerates, the system knows what's protected and what can change.