updated MCP mermaid diagram to show confirmation
added prompt engineering slide TO-DO. start on demo slides and notes
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@@ -42,7 +42,7 @@ What is MCP?
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<!-- new_line -->
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<!-- alignment: center -->
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<!-- font_size: 2 -->
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**MCP gives tools to AI**
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MCP gives tools to AI
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===
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<!-- no_footer -->
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@@ -123,9 +123,11 @@ sequenceDiagram
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LLM->>ArgoCD: Get GitOps application
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LLM->>Git: Get Git repo
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LLM->>LLM: Plan fix
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LLM->>You: Here is the plan. Requesting Approval
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You->>LLM: Approved
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LLM->>Git: Push fix to Git
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LLM->>OCP: Verify change applied
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LLM->>You: The issue was X. I resolved by doing Y
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LLM->>You: Applied Succesfully
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```
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<!-- pause -->
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@@ -135,6 +137,9 @@ sequenceDiagram
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@@ -176,14 +181,32 @@ Tools for the demo
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* `argocd-mcp-server` - ArgoCD (aka Openshift GitOps) application management
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* `minio-mcp-server` - S3-Compatible Object storage operations
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<!-- no_footer -->
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<!-- speaker_note: Explain the tools in the wider context -->
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<!-- speaker_note: openshift - complete CRUD access -->
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<!-- speaker_note: gitea - ability to read and commit, create repos etc. -->
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<!-- speaker_note: ArgoCD - add and keep deployments in a specified state -->
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<!-- speaker_note: MinIO - self-hosted S3 -->
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<!-- end_slide -->
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<!-- font_size: 4 -->
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Prompt Engineering
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===
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<!-- font_size: 2 -->
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Intent vs. Instruction
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===
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<!-- font_size: 2 -->
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<!-- pause -->
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<!-- new_line -->
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<!-- new_line -->
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<!-- font_size: 2 -->
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Ambiguity is the enemy of automation. If you don’t define ‘safe’… the AI will.
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<!-- end_slide -->
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