1 min lesson
Stage the demo and a fallback
Walk through each part of "Stage the demo and a fallback", then explain what each one does.
Step 1 of 2
Stage the demo and a fallbackLive runs stall; rehearse the pivot
Model latency, a cold network, an expired token: any of these can freeze a live run in front of the panel. Treat a recorded backup as part of the deliverable, not a confession of doubt.
Fallback kit
- Recorded run
- A 60-second screen capture of the whoa moment, queued and ready to play if the live run hangs
- Pre-warmed state
- Tokens valid, repo cloned, dependencies installed, one dry run done minutes before
- Narration that survives a stall
- If a model is thinking, keep talking about the decision; dead air reads as a freeze
- The pivot line
- "Latency's spiking - here's the run I captured this morning," then carry on without apology
Say it like this
“I'm not going to walk every line. Watch this one command - the agent never opened a file to find context, it pulled the right runbook through the MCPModel Context Protocol. A standard that lets an AI agent pull in context from outside the repo, like Jira tickets or internal docs. Press Enter for the full definition. server I wired up. That's the difference between an autocomplete and something that knows your stack. Here's what that does to triage time.”