Project DIV
The Digital Intelligence Vector.
From “Static Website” to “Digital Employee.”
A unified gameplan to transform our WordPress infrastructure into an agentic ecosystem that thinks, monitors, and works alongside us.
The Big Idea: “Institutional Memory”
Right now, our website is just a brochure. It doesn’t “know” anything. If our Brand Director leaves, their knowledge leaves with them.
The New Approach
We teach the website to read. We feed it every whitepaper, campaign, and brand guideline. It becomes a central brain that knows our voice perfectly, using Vector Search and MCP (Model Context Protocol) to draft content and answer questions automatically.
From “Pages” to “Abilities”
We stop coding static templates and start registering Abilities (e.g., `core/fetch-crm-data`) that AI agents can execute safely.
Brand Guardianship
AI hooks into `save_post` to check compliance. If content is off-brand or legally risky, the “Publish” button is disabled automatically.
Vision: A Tuesday Morning in 2026
The Implementation Master Plan
Phased execution from Foundation to Autonomous Growth.
| Phase | Workstream | Gameplan (Agentic Possibilities + Execution) | Governance & Risk |
|---|---|---|---|
| 0. North Star | Digital Ambition |
Define the Agentic Ceiling
|
Create a “Digital Charter” defining what AI agents may do, suggest, and must never do. |
| 1. Foundations | Architecture & Content |
Data Sovereignty (The Vault)
Implement Vector Search (SQLite-vec/Pinecone). Index all PDFs and history so agents can query institutional memory.
Provider Agnosticism
Build a Gateway Plugin. Swap models (Claude → GPT-5) via settings, cached via Transients to prevent bill shock. |
|
| Global IA | Search-First Architecture: Structured fields enable better retrieval for AI. Treat case studies as structured entities, not blobs of text. | Canonical schema vs Local variant rules. | |
| 2. Experience | Trust & Design |
The “Cultural Twin” Engine
Move beyond translation. AI visual ability swaps images based on user locale (e.g., replace baseball with cricket for India).
Proof Orchestration
Dynamically assemble proof points (logos, stats) by industry/region. |
“No orphan claims”: Every number has an owner, source, and expiration policy. |
| 3. AI Layer | Marketing Command Center |
The Morning Briefing
Daily executive summary grounded in analytics, search, paid, and CRM signals.
Governance Hooks
The “Brand Guardian”: Hook into `save_post`. AI checks drafts against legal rules. If risky, disable “Publish” button. |
Audit logs for every generated insight. Strict data minimization for agents. |
| 4. Agentic | Autonomous Agents |
Predictive SEO Agent
Watches seed communities; drafts pages before keywords peak.
PR Fire Extinguisher
Detects sentiment drift > 15%; drafts response strategy and updates FAQs automatically.
Synthetic User Testing
Run landing pages against 10 AI personas (e.g., “Skeptical CFO”) to get feedback before real traffic hits. |
Hard boundaries: Agents propose; humans approve. Incident plans for agent rollback. |
| 5. Future (2030+) | Moonshots |
Agent-to-Agent (A2A) Commerce
Hidden site sections (JSON-LD heavy) optimized for other AI agents to negotiate pricing without humans.
Self-Healing DevOps
AI detects fatal errors, spins up a Playground instance, writes the fix, tests it, and pushes the patch. |
Zero downtime. The website maintains itself. |
Architecture for Developers
Model Context Protocol (MCP)
We are not just using OpenAI’s API. We are building MCP Adapters for WordPress. This allows external agents (like Claude Desktop or Gemini) to “see” our WordPress data as a resource.
// Example Ability Registration
register_mcp_tool('check_compliance', function($content) {
return AI_Validator::scan($content, 'legal_strict');
});
Vector Database Integration
To enable “Institutional Memory,” we embed content on `save_post`. We can use pgvector or a local SQLite-vec implementation to keep it performant and cost-effective.
- Ingest: PDFs, Pages, Whitepapers.
- Chunking: Semantic paragraph splitting.
- Retrieval: RAG (Retrieval Augmented Generation) for internal Q&A.