Gold Membership

Application architecture, models, APIs, and structured outputs.

Output: A working AI application

Problem, User, Workflow, plus AI product and UX design.

Output: An AI application built around a real user workflow

GPT, Claude, Gemini, open and multimodal models; select by quality, cost, latency, and capability.

Output: A model selection for a business scenario

RAG fundamentals, embeddings, retrieval, and vector databases.

Output: A working RAG based application

What an agent is, and tools, memory, and actions.

Output: An agent capable of using tools and taking actions

Agentic workflows, tool calling, MCP, and orchestration.

Output: An agentic workflow connected to a real, multi step process

AI assisted development and the vibe engineering workflow.

Output: An enterprise style application built with AI assisted development

Data and knowledge readiness, data quality, and golden data.

Output: A data readiness assessment for an AI solution

Human evaluation, LLM as judge, golden datasets, and quality metrics.

Output: An evaluation framework for an AI system

AI interaction design and human in the loop UX.

Output: An AI experience with control, feedback, explainability, and escalation

Identify a real problem, design the workflow, build an AI application, add RAG and an agent or automation where they fit, evaluate it, document the architecture, and demo the working solution.

Output: A demonstrated working AI system