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Presentation Ideas Scratchpad
Raw ideas and scenarios for future AI presentations. Capture now, refine later.
Presentation #1: MCP in Practice (OpenShift/GitOps)
Audience: Internal Axway team (small, reports to Conan) Tone: Serious content, Simpsons humor, relatable frustration → payoff arc
Core Thesis
The value of MCP isn't "AI can run kubectl" — it's flipping the discovery loop.
- Without MCP: Human works for the AI (copy-paste errors, run commands, provide context, be the middleware)
- With MCP: AI works for and with the human
Narrative Arc
- What is MCP? — Open standard, Anthropic 2024, gives tools to AI
- Why MCP? (Without) — Grandpa Simpson walks in, sees GPT, walks out
- Pitch: Complex problems without tool-bearing AI = frustrating, time-consuming, upside-down. People "bounce off" AI for real work.
- Why MCP? (With) — Setup for the payoff
- Tools for the demo — openshift-mcp, gitea-mcp, argocd-mcp
- Prompt Engineering — "Intent vs. Instruction" / "Ambiguity is the enemy of automation. If you don't define 'safe'… the AI will."
- DEMO — Three scenarios, progressively impressive:
- Scenario 1: "Run a healthcheck of my cluster"
- AI examines multiple resources
- Key: produces INSIGHT, not just dry information
- Scenario 2: "Is my NAS slower than it should be?"
- AI launches ephemeral test pod (permitted via system prompt)
- Reasons against hardware expectations (2-bay 5400RPM, 1Gb network)
- Scenario 3: "Lock down security in this namespace"
- AI investigates current posture
- Plans path to privileged-v2
- Scenario 1: "Run a healthcheck of my cluster"
- Summary — (to be drafted)
- Land the loop-flip insight
- "What you didn't see" — all the commands, errors, iterations handled silently
- Closer — Homer spinning in chair (callback)
- "Taking us out of the discovery loop leaves us free to be productive elsewhere"
Demo Technique
During demo: actually do other work while AI runs. Makes the "frees you up" point concrete — audience watches AI work, watches presenter work, realizes neither needed the other.
Key Moments
- "Holy shit, it just figured it out" — if presenter had these moments building the demo, audience will too
- Transition from "tech demo" to "I want this"
Presentation #2: Ideas (TBD)
Context: Axway heritage — Sopra Group → Sopra Steria. Enterprise software, API management, governance. Audience cares about security, compliance, "don't let the AI rm -rf."
Option A: Security / AI Gateway
- Take the security line further than system prompts
- Show how an AI Gateway solves remaining concerns:
- Rate limiting
- Action allowlists
- Audit trails
- Policy enforcement
- Narrative: "Your enthusiastic AI colleague needs guardrails in enterprise"
Option B: Hyper-Agentic First, Then Governance
- Go full agentic — show the power (browser control, cross-platform nodes, compound tool use)
- Then pivot: "And this is how you keep your enthusiastic colleague from doing something you didn't want"
- AI Gateway as the answer to the "wait, but what if..." concerns the demo just raised
Potential Beats
- Show the Apple Notes/Reminders cross-platform demo (container → Mac node → AppleScript)
- Browser automation
- Multi-step reasoning with real consequences
- Then: governance layer, audit, policy, enterprise controls
Loose Ideas (Capture as they come)
Cross-Platform Automation Demo (Apple Notes/Reminders)
Already documented above — usable for Presentation #2 "hyper-agentic" section
- AI in secure container reaches out to Mac node
- Original tool (memo CLI) too interactive
- AI adapts: discovers AppleScript as native alternative
- Creates notes/reminders via osascript
- "Figures it out on its own" moment
Meta-Demo: The Session Itself
The conversation that led to this scratchpad is itself demo-worthy:
- Casual experiment → discovery
- Presenter mentions "might use this for a demo"
- AI offers to capture it (not requested)
- Writes structured doc to the right repo
- That's working with someone, not commanding a tool
Add ideas below as they emerge