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AI Knowledge Systems — RAG, Search, Memory & Internal Knowledge

Intermediate4-5 hoursKnowledge system map + RAG decision framework + memory design checklist

Many useful AI systems are not smarter because the model is smarter. They are smarter because the system can retrieve, search, remember, and ground itself in the right knowledge at the right time.

Quick Navigation Before we start — why knowledge feels smarter than it is Why model knowledge is not enough Search, retrieval, memory, and grounding When...

1 DaySystems Thinking

Knowledge DesignPractical

RAG Search Memory Knowledge Systems Internal Knowledge View Details

Application, Integration, API, Interface, Data & Process Design

Intermediate to Advanced (SA, EA)6-8 hoursIntegration design playbook + API design standards + data movement pattern guide

How the components of a solution are structured internally, how they communicate with each other, and how they connect to the data and processes they depend on.

...structure to workflow Once you've broken a system into parts, you must decide how each part is structured internally, how parts communicate, what contracts they follow, how data moves, and how business processes...

2 DaysIntensive

ComprehensiveSA · EA

Architecture Solution Design Integration API Design Data Design View Details

MCP Is Not an AI Protocol. It Is a Governance Layer.

MCP is classified as an AI integration protocol. It is actually a governance primitive — the stable interface layer that architecture fitness functions have been missing for years.

...Architecture Leads Problem it solves: Architecture fitness functions that break the moment a team changes an internal implementation — making governance brittle, ignored, and eventually abandoned Key outcome: A...

Enterprise Architecture Governance Architecture Fitness Functions Mcp Technology Strategy Read Insight

AI Architecture Clarity: Understanding LLM, RAG, Agents, and MCP Through the Brain Model

A clear executive guide explaining LLM, RAG, AI Agents, and MCP using the Brain model to prevent enterprise AI instability.

...value without context. RAG = The Memory Now give the brain memory. RAG allows the model to: Look up internal documents Reference policies Retrieve knowledge base articles Use enterprise data before answering...

Technology Strategy Execution Ai Governance Ai Ai Strategy Read Insight

Architectural Decision Records (ADR): The Missing Layer Between Strategy and Implementation

A practical guide explaining why Architectural Decision Records (ADR) are the missing link between enterprise architecture strategy and engineering implementation.

...solved The options considered The decision taken The consequences of that decision Instead of architecture knowledge living in people’s heads, ADRs create organizational memory. The ADR Structure A typical ADR...

Enterprise Architecture Architecture Technology Strategy Execution Governance Engineering Read Insight

Current State & Target State Architecture

All levels — SA, EA, TS4-5 hoursAs-is / to-be architecture canvas + transition state design + maturity scale + AI readiness assessment

How to document what exists today, define what must exist tomorrow, and design the transition states that get you there — the discipline of architecture that connects present reality to future goals.

...state: It's always messier than anyone wants to admit. It includes technical debt, workarounds, tribal knowledge, and shadow IT. Documenting it honestly is uncomfortable — but it's the only way to plan realistically....

1 dayIntensive

PracticalCanvas exercise

Architecture Enterprise Context Current State Target State Transformation Gap Analysis View Details

Why Architecture Exists

All levels — SA, EA, TS3-4 hoursArchitecture purpose framework — complexity · alignment · risk · change · shared understanding

Why architecture exists — managing complexity, aligning technology with business, reducing risk, enabling change, and creating shared understanding across teams.

...systems become unmaintainable. I've seen teams add features, take shortcuts, watch people leave, lose knowledge — and slowly, quietly, the system drifts from any coherent design until no one fully understands...

Half-dayIntensive

PurposeWhy it matters

Architecture Foundations Complexity Business Alignment View Details

Technology Leadership & Organizational Excellence

Intermediate to AdvancedLeadership roadmap and team enablement plan

Learn to lead high-performance engineering organizations with clear decision rights, distributed leadership, and AI-augmented team management for the future of work.

...(documentation, Loom, text), synchronous only when necessary Explicit documentation — decisions, processes, and knowledge are documented, not tribal Outcome-based evaluation — measure results, not hours or activity Intentional...

2 DaysWorkshop

Coming Soon

Leadership Organizational Design Decision Rights AI Augmented Teams View Details

How LLMs Work

Beginner to Intermediate4-6 hoursWorking mental model + reference materials

What actually happens inside a Large Language Model — from the moment you type a prompt to the moment it responds. No math. No fluff. Just a clear picture you can hold in your head.

...relationships. Middle layers build up to phrase-level meaning. Deep layers handle complex reasoning, world knowledge, and abstraction. GPT-2 had 12 layers. GPT-3 had 96. This is a large part of why scale matters...

2 DaysIntensive

Beginner FriendlyNo math required

LLMs Machine Learning Transformers Generative AI View Details

AI Capabilities, Limitations & Use Cases

Beginner to Intermediate3-4 hoursTask-to-AI fit judgment + reference materials

What AI is genuinely good at, where it will let you down, and how to match the right task to the right tool. The judgment you need before you touch a prompt.

...here, and how much should I trust what it gives me? That judgment — not prompting skill, not technical knowledge — is what separates people who use AI well from people who've either been burned by it or dismissed...

Half DayIntensive

Beginner FriendlyNo math required

Generative AI AI Capabilities AI Limitations Hallucination Use Cases AI Fluency View Details

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