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 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 guidePrompt Engineering Course Guide
How to choose a prompt engineering course — compare options and the skills each one covers.
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 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 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.