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

AI Architecture Clarity: Understanding LLM, RAG, Agents, and MCP Through the Brain Model
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 Without...

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

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
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
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
FoundationFor all leadership roles
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
Cognitive Load & Team Interfaces
VP Engineering, Platform Leads, Engineering Managers, Principal Engineers3-4 hoursCognitive load assessment per team, an interaction model, and a platform team charter naming what the platform does and does not own

A team can only hold so much — and the interaction modes between teams are what decide whether that limit is respected or quietly exceeded.

...are the default. Everything else exists so that these teams can hold less. Platform teams provide internal capability that stream teams consume rather than build. Their entire justification is load removal:...

1 DayIntensive
CapacityWhat a team can hold