# PodMan — Demo Scripts

**Theme:** Continual Learning. Two scripts below: a **1-minute live script**
(§ first) for showing real-time interventions fast with teammates, and the full
**4-minute script** for the complete story. Practice the 4-min to land at 3:45.

**The thesis (say this first, in either script):** AI is collapsing the cost of
*writing* code. More and more of every codebase is authored with AI assist — and
increasingly by **autonomous agents**. So the bottleneck of software engineering
is shifting away from engineering itself toward **organization, management, and
project coordination**. Pair a team with hundreds of agents all committing to the
same repo at once and it becomes **physically impossible for a human to track
progress or avoid stepping on someone else's work.** Code generation scaled;
human coordination did not. That gap is the new bottleneck.

**The one-line story:** writing code isn't the bottleneck anymore — *coordinating
who (and what) is writing what* is. PodMan is a pair programmer for the whole
team — humans **and** agents: it watches every actor's work in real time, gives
everyone live status without anyone having to interrupt anyone, catches collisions
before they land, and learns your team's dynamics so it nudges less and helps more
over time.

**The hook to land:** a "quick five-minute question" actually costs ~25 minutes of
lost focus — for two people. Now multiply that across a team plus a swarm of
agents nobody can watch. PodMan removes the reason to ask and surfaces the
collision no human could have caught in time. That recovery time, saved across
every actor, every day, is the value.

---



## 1-Minute Live Script (you + teammates — real-time interventions)

**Hard limit 1:00.** Hits the tracks: real-time multimodal, on-device Gemma,
Continual Learning, Self-Improvement, Recursive Intelligence.

**Pre-flight:** pod open on `podman.live`, all joined, screen share + **sound on**;
git watchers running; everyone has `README.md` open. On-device **Gemma** must be
up as Hermes's voice (else Gemini TTS auto-falls-back — just drop the "on-device"
word).

**0:00–0:12 — Thesis**
> "Code is almost free to write now — humans with AI, soon swarms of agents, all
> on one repo. No human can track that. The bottleneck is coordination — and it
> has to fix itself, live. Watch."

**0:12–0:35 — Collision caught live (money shot)**
- You + a teammate both edit `README.md`, save (unpushed).
- Card appears on every screen + voice fires: _"<you> and <teammate> are both
  editing README.md. Sync before pushing."_
- Say: "Gemini Vision reads our screens, fused with local git, in real time —
  and the alert is **spoken by a Gemma model on-device**. Neither of us asked."

**0:35–0:52 — Self-improving (narrate)**
- Third teammate edits too → **new** card + voice for the new pair (never goes
  silent).
- Say: "Every trace lands in **Atlas**; vector search recalls past collisions,
  repeats come back tagged **'Seen before'** and escalate — no retraining. It
  tunes its own coordination from its own outcomes."

**0:52–1:00 — Close**
> "Real-time awareness, on-device voice, a coordination layer that improves
> itself — for humans and agents, zero interruptions."

_Fallback:_ Gemma down → drop the on-device line. Voice silent → read it, point
at the card. No card → switch the pair to a fresh file and re-save.

---



## The script (4:00)



### 0:00–0:30 — The problem + hook

> "AI made writing code almost free — humans with AI today, swarms of autonomous
> agents tomorrow, all committing to the same repo. The bottleneck stopped being
> engineering and became coordination: checking each other's work, re-planning
> collisions, the constant 'what are you working on?' At agent scale no human can
> even track it. A five-minute question already costs both people 25 minutes of
> lost focus. PodMan is a pair programmer for the whole team — humans and agents:
> it watches everyone's work live, so anyone sees another's status without
> interrupting them, catches collisions before they land, and learns your team as
> it goes."

*On screen:* the pod view, two teammates joined, screen-share tiles live.

### 0:30–1:05 — Real-time team awareness (LiveKit + Gemini Vision)

- Point at the two live screen tiles. "These are real screen shares over
**LiveKit**. Our agent subscribes to the tracks and samples frames."
- "Each frame goes to **Gemini Vision**, which returns structured context — file,
symbol, activity — not a chatbot, a perception layer."
- Show the live activity stream filling in (Signals vs Reasoning sections).
- Land the value: "This is the part that replaces 'what are you working on?' —
every teammate's current work is just *visible*, in real time. Nobody had to
ask."

*Built-by-us callout:* `backend/src/vision/gemini.ts`, the LiveKit agent worker.

### 1:05–1:40 — The catch (detection + first intervention)

- Have alice and bob both edit the **same file** with unpushed changes.
- "Normally nobody notices until merge time. GitHub can't see this — nothing's
pushed. Our detector fuses live screen context with **local git truth** from a
watcher on each laptop."
- A collision card appears: *"alice + bob both on detector.ts (unpushed)."*
- Let the **Gemini TTS** urgent voice fire once over LiveKit: *"alice and bob are
both editing detector.ts. Please sync before pushing."*
- Land the value: "That's a merge conflict and a wasted afternoon caught before it
happened — and neither of them had to be tracking the other."

*Built-by-us callout:* `collision/detector.ts`, `action/hermes.ts`,
`voice/live.ts`.

### 1:40–2:10 — Cross-channel overlap (research + code)

- Keep alice editing `livekit.py`.
- Have bob share a browser tab on LiveKit docs/SDK pages.
- A collaboration nudge appears: *"🤝 bob is researching LiveKit agents
(docs.livekit.io) while alice edits livekit.py — sync up before duplicating
effort."*
- Land the value: "This is not a merge conflict. PodMan caught duplicated effort
across channels — code on one screen, research on another — and nudged the team
before two people solved the same problem twice."

*Built-by-us callout:* `vision/gemini.ts`, `collision/research.ts`,
`memory/vectors.ts`.

### 2:10–2:50 — Continual learning (the theme — the money shot)

This is the differentiator. Two beats, both from pre-seeded memory:

1. **It learned to stay quiet.** Trigger a pattern that was dismissed as a false
  alarm earlier. "Last session a teammate marked this kind of alert as not a
   real conflict. Watch — PodMan stays silent. No nagging." (No card fires.)
2. **It learned to escalate.** Trigger the real-conflict pattern that was
  accepted before. The card now says **"Seen before."** and goes straight to
   the spoken urgent cue.

- "The only input was one accept/dismiss tap. No retraining, no labeling. This is
**MongoDB Atlas vector search** recalling similar past events plus a policy
that adapts on the recalled outcome."
- Optional: show `/api/memory/stats` counts climbing — accumulated experience.

*Built-by-us callout:* `memory/vectors.ts` ($vectorSearch), `memory/policy.ts`
(outcome-conditioned gate), `memory/store.ts`.

### 2:50–3:30 — The five-minute meeting, killed (Gemini Live API)

- Frame it: "Instead of breaking a teammate's focus to ask what they're up to,
you ask PodMan."
- Open the live voice conversation. Ask out loud: *"PodMan, what is everyone
working on, and where is the collision detector implemented?"*
- It answers with **real tool calls** — `search_repo`, git history, current
collisions — not guesses.
- "This is the **Gemini Live API**, streaming speech-to-speech over LiveKit, with
custom function tools we wrote so it grounds every answer in the actual repo
and live state. That's the status sync, answered in seconds, with zero recovery
tax on anyone else."

*Built-by-us callout:* `agents/podman-live-conversation/agent.py`.

### 3:30–3:50 — Stack + close

- "All on **DigitalOcean** — static frontend, API, and agent workers, supervised
by systemd. The ambient score is **Gemini Lyria** generated per pod through the
Interactions API."
- Close: "Engineering ability stopped being the bottleneck — coordination is, and
it only gets worse as agents start writing alongside us. PodMan gives a whole
team, humans and agents, real-time awareness without the interruptions, catches
collisions before they cost an afternoon, and learns each team's dynamics so it
helps more over time. Saved focus, multiplied across every actor. That's
continual learning, shipped."



### 3:50–4:00 — Buffer / Q&A handoff

---



## Sponsor-prize coverage (say each at least once)


| Prize            | Spoken moment                                                                    | Segment                |
| ---------------- | -------------------------------------------------------------------------------- | ---------------------- |
| **Gemini**       | Vision perception, Live API agent w/ tools, TTS voice, Lyria score               | 0:30, 1:05, 2:50, 3:30 |
| **LiveKit**      | "real screen shares over LiveKit", agent subscribes, TTS audio track, live voice | 0:30, 1:05, 3:30       |
| **MongoDB**      | "Atlas vector search recalling past events"                                      | 1:50                   |
| **DigitalOcean** | "all on DigitalOcean, systemd-supervised workers"                                | 3:30                   |


---



## If something breaks (live recovery)


| Failure                 | Recovery                                                                |
| ----------------------- | ----------------------------------------------------------------------- |
| Voice doesn't fire      | Cut to the card; say the line aloud; cards are the default path anyway. |
| Live conversation drops | Skip 2:50–3:30; lean longer on the learning beat.                       |
| Collision won't trigger | Use the backup recording for that beat; keep narrating.                 |
| Agent flapping          | Pre-checked — but if so, `systemctl restart podman-platform-agent`.     |


**Rule:** never debug on stage. Narrate, fall back to recording, keep moving.

---



## Tight timing summary


| Time | Beat                                                       |
| ---- | ---------------------------------------------------------- |
| 0:00 | Problem (coordination cost) + hook + original-work line    |
| 0:30 | Real-time team awareness — LiveKit + Gemini Vision         |
| 1:05 | The catch — collision caught before merge                  |
| 1:40 | Cross-channel overlap — research + code nudge              |
| 2:10 | **Continual learning — quiet + escalate**                  |
| 2:50 | The five-minute meeting, killed — Gemini Live conversation |
| 3:30 | DigitalOcean + Lyria + close                               |
| 3:50 | Buffer                                                     |