Executive Briefing Session Proposal
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AI Fluency: Agentic Agents

Using AI as a Force Multiplier Through Modular Problem Solving

Session Overview

Modern AI tools are most effective when complex problems are decomposed into smaller, reusable units of work. Engineers will learn how agentic AI systems can be configured, extended, and orchestrated to amplify productivity while maintaining control, consistency, and governance.

The key to using AI effectively is not asking better questions; it’s controlling complexity by breaking work into modular components.

Audience

Engineering, Architecture, Platform, and Technical Leadership Teams

Presenter Daniel Bodnar
Format Hands-on training · five modules
Runtime 60–90 min · break included
Materials Slide Deck · Lab Workbook · Lesson Plan
AI Fluency · Agentic AgentsKey Takeaways
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Key Takeaways

By the end of this session, attendees will:

01 Understand

How modern AI agents are configured and extended.

02 Apply

A framework for breaking complex work into reusable components.

03 Build

Reusable skills and workflows that scale across teams.

04 Enforce

AI agents to enterprise tools and live data, securely.

Core questionwhich layer does this belong in?
Executive Briefing
AI Fluency · Agentic AgentsModule Breakdown
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Progressive Learning Path

ModuleFocusOutcome
1AGENTS.mdCreate effective agent operating instructions.
2CommandsUnderstand agent interfaces and workflows.
3SkillsBuild reusable organizational expertise.
4PluginsPackage and distribute capabilities across teams.
5MCP ServersConnect agents to tools, APIs, and live data.
Arcalways-loaded → invoked → on-demand → packaged → enforced
Executive Briefing
AI Fluency · Agentic AgentsRequirements & Environment
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The asks

What the session
needs to run

  • Claude Code
    Opus 4.8 and/or Fable 5.
  • GitHub
    An enterprise marketplace repo (plugins + skills) and a lab & workshop repo; github.com licenses for every attendee so they can fork the workshop repo and contribute; Copilot licenses with Claude Opus 4.8 / Fable 5 enabled; Actions and Codespaces.
  • Azure
    DevBoxes and Foundry.
  • MS Teams
    Access permissions to create integrations and webhooks.
  • Hosting
    A place to host the web apps built during the session, which Claude uses as targets for browser E2E tests.

Applications & tools

vscode codespaces or docker + devcontainers mise bun just skills.sh
Formathands-on · checkpoints from the lab workbook · break included
Executive Briefing
AI Fluency · Agentic AgentsWhat We're Building
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Agents & Skills: what we're building

01 / Foundation Setup & Config
Dev Experience
  • Linting
  • Formatting
  • Style guides
  • Editor standards
02 / Expertise Language-Specific
Agents & Skills
  • C# and .NET
  • Full-stack web development
  • Databases
03 / Automation CI/CD
GitHub Actions
  • Code reviews & code quality
  • Security scanners
  • Dependency scans
  • Auto issue triaging for failed pipelines
Build areasdeveloper experience → language expertise → pipeline automation
Executive Briefing
AI Fluency · Agentic AgentsOrganizational Benefits
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Organizational Benefits

01 Accelerate AI Adoption

Create a common framework for AI-assisted engineering.

02 Scale Knowledge

Turn individual expertise into reusable organizational assets.

03 Improve Productivity

Reduce repetitive work through reusable workflows and automation.

04 Strengthen Governance

Promote secure, consistent, and responsible AI usage.

05 Operationalize AI

Attendees leave with a configured environment and practical workflows they can apply immediately.

06 Questions

Bring questions on scheduling, tailoring for specific teams, or what it takes to run this for your organization.

Q&ADaniel Bodnar
Executive Briefing