VDF AI PLAYBOOKS
Fifteen real-world recipes for building with VDF AI — end to end, on your infrastructure.
Each playbook walks a senior team through a concrete VDF AI build: which Custom APIs to register, which agents and intent templates to define, how Networks compose them, and how the SEEMR self-evolving router keeps quality and cost in balance over time.
ANATOMY OF A PLAYBOOK
Every playbook follows the same five-stage pattern
A clear path from raw data and APIs to a governed, self-evolving network — the same backbone every VDF AI deployment uses in production.
Connect
Register databases, SaaS apps, and Custom HTTP APIs in VDF Data and AgentsHub.
Vectorize
Build feature lists, embeddings, and pgvector indexes — Private RAG, fully on-prem.
Compose
Define intent templates, agents, system prompts, and bind them into a Network.
Govern
SEEMR routes models, agents, and tools by cost, latency, capability, and energy.
Evolve
Every run feeds Learning Modes — quality and efficiency improve automatically.
CHOOSE YOUR PATH
15 playbooks, one platform — VDF AI on your infrastructure
On-Prem Health Insurance Rule Checker
Build a regulator-grade rule checker that validates claims and policies against your own ruleset using a Custom API, intent templates, and tailored system prompts.
Closed-System Customer Support with Private RAG
Wire a Custom API as a tool inside a VDF AI network and ground every answer in your private knowledge base — fully closed, fully on-prem.
Replace Microsoft Copilot with an On-Prem VDF AI Deployment
Stand up a sovereign Copilot alternative with AgentsHub, custom integrations, domains, agents, and a production-grade chat interface.
Run n8n & CrewAI as Tools Inside VDF AI Networks
Add your local n8n or CrewAI workflows as Custom HTTP tools. VDF AI Networks serve them via internal MCP, discover capabilities, and orchestrate them with agent networks.
Internal IT Helpdesk Knowledge Assistant
Index Confluence, Jira, and GitHub into a Private RAG layer and let a multi-agent network triage tickets, draft replies, and surface runbooks.
On-Prem KYC and AML Triage Network
Decompose KYC and AML cases into intent-driven sub-tasks, route them through specialist agents, and log every decision with a SEEMR-governed audit trail.
Air-Gapped Document Classification & Triage
Operate a fully air-gapped classification network with on-prem SLMs, human-in-the-loop review, and per-domain policy enforcement.
Telecom NOC Copilot for Alarm Triage
Connect OSS/BSS APIs as custom tools, correlate alarms with vector-indexed runbooks, and let agent networks recommend the right remediation playbook.
Autonomous Pull-Request Review & Repo Insight
Use the built-in `code_review`, `pr_review_assistant`, and `github` MCP tools to triage pull requests, surface risk, and accelerate engineering throughput.
Insurance Claims Processing Network
Combine OCR, semantic search, business-rule agents, and approval routing into one on-prem network that processes claims with full traceability.
On-Prem Legal Contract Review & Clause Extraction
Vectorize your contract library, run clause extraction and redline suggestions through purpose-built agents, and keep every document inside your network.
Manufacturing Quality Copilot for MES & ERP
Treat MES and ERP endpoints as Custom HTTP tools, correlate live signals with quality SOPs, and let an agent network propose corrective actions.
HR Policy & Onboarding Assistant
Centralize HR policies, benefits, and onboarding flows behind a private chat experience powered by domain-scoped agents and Living Knowledge.
Private Sales Intelligence: CRM + RAG
Register your CRM (Salesforce, HubSpot, or custom) as a Custom API tool, ground responses in account context, and let agents draft prospecting plays on demand.
Pharma Regulatory Submission Assistant
Build a Living Knowledge graph of CMC, clinical, and regulatory documents and orchestrate specialist agents that draft and validate submission sections.
WHY THE PLAYBOOKS HOLD UP IN PRODUCTION
Built on SEEMR — the Self-Evolving Model Router
Every playbook inherits SEEMR's five learning modes: model governance, agent personality evolution, knowledge-graph integration, cost optimization, and energy-aware routing. That's why a VDF AI deployment keeps improving long after the first week of go-live.
GET IN TOUCH
You Have Questions
Tell us what you’re trying to achieve—governed AI Networks, enterprise RAG, deep integrations, or on‑premise deployment. We’ll help you map the right architecture, security posture, and rollout path. If you’re moving beyond AI pilots and need scalable, auditable execution, reach out—our team is ready to help.