The Path to Artificial Wisdom
We are building the operating system for animal knowledge.
V.E.T.S. development follows four phases, each building on the last. We are transparent about where we are and where we are going.
Phase 1: The Foundation
COMPLETED
Build the core platform that makes everything else possible.
✓ Multi-tenant database architecture
✓ Six-layer security model
✓ TeamDoc knowledge management system
✓ Tree-based knowledge repository
✓ DynamicForms evaluation engine
✓ Animal-centric data model (atbl_VETS_Animals)
✓ Patient History system
✓ HTML-in-SQL rendering pipeline
✓ Website CMS (TeamDocWebsiteR2)
✓ AJAX handler framework
This foundation has been production-stable since 2009, serving real veterinary clinics, breeding operations, and livestock managers with 47,000+ animals managed.
Phase 2: The Interface
CURRENT FOCUS
Build the AI layer that transforms the platform from a database into an intelligence engine.
✓ AI Minion architecture (14 active minions)
✓ RAG pipeline (1,498 vectorized knowledge docs)
✓ Vector search via GCP Vertex AI
✓ Multi-provider LLM integration (Anthropic, Google, OpenAI)
✓ 174 AI stored procedures
✓ MCP (Model Context Protocol) server
✓ AI usage logging and monitoring dashboard
✓ Keyword extraction pipeline
☐ Quality assurance automation (in progress)
☐ Foundational Context Engine (FCE)
☐ Chip redistribution navigation system
☐ About page alignment (in progress)
The AI interface layer has been in active development since 2024. The Land of Oz learning system teaches all 18 AI techniques through interactive lessons built on the actual V.E.T.S. infrastructure.
Phase 3: The Intelligence
ACTIVE DEPLOYMENT
Transition from development knowledge curation to animal domain knowledge curation — the ultimate goal.
☐ Veterinary protocol knowledge base
☐ Species-specific AI training data
☐ Automated quality pipelines for content validation
☐ Cross-domain knowledge linking (vet + farrier + trainer)
☐ Expert review workflows with AI assistance
☐ Fine-tuned models for veterinary terminology
☐ Synthetic data generation for rare conditions
☐ Red-teaming for medical safety guardrails
Phase 3 applies every technique mastered in Phase 2’s AI development work to the animal domain. The same RAG pipeline that manages developer documentation will power veterinary knowledge retrieval.
Phase 4: The Ecosystem
FUTURE
Open the platform to the broader animal care community, creating a self-reinforcing knowledge ecosystem.
☐ Multi-agent collaboration across practices
☐ Responsible autonomy for routine decisions
☐ Interpretability dashboards for AI recommendations
☐ Third-party developer API
☐ Knowledge marketplace for expert contributions
☐ Thinking Models for complex diagnostic reasoning
☐ Small model deployment for field use (low-bandwidth)
☐ Community-contributed knowledge curation
Phase 4 realizes the full V.E.T.S. vision: a platform where every animal professional contributes to and benefits from a shared knowledge base, amplified by AI that understands the domain deeply.
Why Transparent Development?
The Dual Mission: V.E.T.S. uses AI to build itself — learning knowledge curation techniques on its own development documentation, then applying those same patterns to animal domain expertise. Every technique mastered in Phase 2 becomes a tool for Phase 3. This is not just software development; it’s a methodology for scaling human expertise through AI partnership.
18 AI Techniques
From Prompts to Thinking Models, V.E.T.S. implements every major AI technique in production. The Land of Oz teaches each one through interactive lessons built on the actual infrastructure.
Explore AI & Knowledge Management →
Open Architecture
MCP (Model Context Protocol), multi-provider LLM support, and a documented API layer mean V.E.T.S. isn’t locked to any single AI vendor. Build on it with any tool.
Read the Developer Guide →
Production Since 2009
The foundation isn’t a prototype. It has served real veterinary clinics and breeding operations for over 15 years, managing 47,000+ animals with six layers of security.
See the Use Cases →
Track Our Progress
V.E.T.S. development is transparent. See the business case behind the roadmap.
Read the Executive Summary →