Enterprise AI Guides
Practical, in-depth guides on deploying private AI, engineering prompts, building an AI strategy, and preparing your data for RAG — everything you need to move from experiment to production.
Deploy & Run AI
Hands-on guides for standing up private, local, and on-premise LLMs — from hardware sizing to model selection.
How to Deploy an LLM On-Premise
Step-by-step deployment: GPU/VRAM sizing, model selection, vLLM vs NIM, and air-gapped setup.
Read guideHow to Run an LLM Locally
Run an LLM locally with Ollama, LM Studio, and llama.cpp, plus hardware needs and the best models.
Read guideLocal LLM Guide
What local LLMs are, the hardware they need, the best models, and how to run one fully offline.
Read guidePrivate LLM Guide
Keep your data in your control with an on-prem or air-gapped private LLM — options, security, and costs.
Read guideBring Your Own Model
Connect your preferred LLM — Azure OpenAI, AWS Bedrock, Llama, Mistral — to the Turnkey AI platform.
Read guideHardware Sizing Guide
Size GPU hardware for enterprise LLMs: VRAM by model size, multi-GPU scaling, and TCO vs cloud.
Read guideLLM Selection Guide
Side-by-side LLM comparison ranking GPT, Claude, Gemini, Llama, and Grok on benchmarks and cost.
Read guideEmbedding Models
How embedding models turn text into vectors, how to pick one, and how to run them privately alongside a local LLM.
Read guidePrompt Engineering
Learn to write effective prompts and choose the right training to build this essential AI skill.
What Is Prompt Engineering?
The definition of prompt engineering, real examples, and the five pillars of effective prompts.
Read guideHow to Write AI Prompts
12 proven prompt-writing techniques with copy-paste templates for ChatGPT, Claude, and Gemini.
Read guideBest Prompt Engineering Courses
The ranked 2026 roundup — compare the top courses on depth, practice, and value.
Read guideFree Prompt Engineering Courses
Free prompt engineering courses with a certificate from PMI, Google, Vanderbilt, IBM, and AWS.
Read guideStrategy & Knowledge
Frameworks and playbooks for AI strategy, governance, workforce skills, and enterprise knowledge management.
AI Strategy Framework
A procedural 7-step model for enterprise AI strategy: readiness, prioritization, governance, and scale.
Read guideAI Implementation Cost
Real 2026 AI budget ranges by company size, the full cost breakdown, consulting rates, and a line-item budget worksheet.
Read guideReducing AI Token Costs
The operational playbook: 12 levers to cut LLM spend 50–90% without cutting value — prompt caching, model routing, usage audits, and value-per-token budgets.
Read guideKnowledge Management
AI-powered knowledge management: centralized bases, auto-updating content, and intelligent search.
Read guideEnterprise Content Management
Manage digital content with modular, granular content architecture powered by Blockify and IdeaBlocks.
Read guideAI Skills Gap
The AI skills gap explained — causes, industry impact, and strategies to upskill your workforce.
Read guideAI Agent Security Checklist
The CISO playbook for agentic AI security: risk taxonomy, least-privilege controls, and an agent checklist.
Read guideWhat Is an MCP Server?
How the Model Context Protocol connects AI agents to your tools and data, and what a server has to implement.
Read guideAI Agent Orchestration
Coordinate several agents across a workflow: routing patterns, hand-offs, state, and production guardrails.
Read guideAgentic AI vs. Generative AI
What separates agents that plan and act from models that generate content, and when each one is the right fit.
Read guideData & RAG
Turn unstructured data into accurate, consistent, AI-ready knowledge — and benchmark the models that use it.
Structure for Data Management
Transform unstructured data into organized, AI-ready knowledge bases with IdeaFORGE.
Read guideConsistent Customer Answers
Deliver fast, accurate, and consistent answers in any format from one centralized knowledge source.
Read guideLLM Benchmark Repository
Compare every major LLM on MMLU-Pro, GPQA, SWE-bench, and Arena ELO — updated daily from public data.
Read guideReady to put these guides to work?
Explore the full product suite behind these guides, or talk with our team about deploying secure, private AI in your environment.