Kashi — Teleprompter Script v3 (3 min)

1 · HOOK + PROBLEM — 0:00–0:30 [CARD: lower-third "Justine Acaylar · Founder, Kashi" @ 0:00–0:05]
Before anyone says a word,
trouble in a team shows up. [pause]
I spent six years on a small company's board in Japan,
watching good teams quietly fall apart.
Every survey came back saying things were fine.
By the time anyone spoke up,
the best people had quit.
The signs were visible long before —
in how the meetings ran.
But no tool could see them. [pause]

2 · EXISTING TOOLS MISS — 0:30–0:50 [CARD: "Kashi" wordmark @ ~0:30, 2s]
I'm building Kashi.
In Japan, preventing workplace harassment
is now a legal obligation —
even for small firms.
But it stays invisible until people leave.
Surveys, hotlines, even meeting AI —
every existing tool depends on someone saying something. [pause]

3 · INSIGHT + SOLUTION — 0:50–1:20 [CARD: lower-third "Reading the SHAPE, not the content." @ ~0:55, 3s]
Kashi doesn't judge what was said.
It reads the shape of how a team interacts —
who talks,
who gets interrupted,
whose questions go unanswered.
In one meeting it looks like noise.
Across many meetings, it's a pattern.
That's what we surface —
over 30, 90, and 180-day windows. [pause]

4 · THREE VIEWS + BOUNDARIES — 1:20–1:45 [CARD: lower-third "Limits built into the data — not the screen." @ ~1:38, 3s]
What you see depends on your role.
Executives see which teams need attention.
Managers get a private mirror of their own team.
Members see only themselves.
Meeting content, scores, emotion —
none of that is shown.
The limits are built into the data —
they can't be turned off. [pause]

5 · WHY NOW + MOAT — 1:45–2:15 [CARD: lower-third "EU AI Act · Article 5" @ ~1:55, 3s]
And the timing is sharp.
Japan's harassment law just expanded to small firms.
The EU AI Act, Article 5, now restricts workplace emotion-recognition.
Tools that judge from content face real exposure.
Kashi sits on the other side of that line —
rule-based, deterministic,
no emotion or sentiment.
Content is never stored for evaluation.
Hard to copy without rebuilding the whole product. [pause]

6 · TRACTION + TEAM — 2:15–2:40 [CARD: lower-third "908 tests · determinism lock" @ ~2:18, 3s]
I'll be straight.
We're pre-pilot, with no paying customers yet.
But the analyzer works —
908 tests, including a determinism lock.
On simulated meetings, the patterns came through cleanly,
with zero false positives.
Stress-tested at 50 meetings, 5,000 turns.
I'm Justine Acaylar — at Keio, building solo,
Filipino-Japanese.
Exactly the multicultural dialogue this is built for. [pause]

7 · ASK + CLOSER — 2:40–3:00 [CARD: full-bleed tagline "We never judge what your teams say. / We help them hear how they say it." @ ~2:55, 5s]
Kashi isn't surveillance software.
It's trust infrastructure —
built to travel to US and EU buyers.
From an acceleration partner, I'm asking for three things:
US market-fit validation,
large-enterprise PoC introductions,
and AI-governance mentoring.
We never judge what your teams say.
We help them hear how they say it.

// PLAIN-TEXT BLOCK — paste into a web teleprompter (cueprompter.com etc.)

Bracketed cues like [pause] and [SLIDE n] are for you/the editor — delete them before pasting if your prompter shows them literally. Pace target: 130 wpm (slower than v2, room for pauses and clarity).

Before anyone says a word, trouble in a team shows up. I spent six years on a small company's board in Japan, watching good teams quietly fall apart. Every survey came back saying things were fine. By the time anyone spoke up, the best people had quit. The signs were visible long before — in how the meetings ran. But no tool could see them.

I'm building Kashi. In Japan, preventing workplace harassment is now a legal obligation — even for small firms. But it stays invisible until people leave. Surveys, hotlines, even meeting AI — every existing tool depends on someone saying something.

Kashi doesn't judge what was said. It reads the shape of how a team interacts — who talks, who gets interrupted, whose questions go unanswered. In one meeting it looks like noise. Across many meetings, it's a pattern. That's what we surface — over 30, 90, and 180-day windows.

What you see depends on your role. Executives see which teams need attention. Managers get a private mirror of their own team. Members see only themselves. Meeting content, scores, emotion — none of that is shown. The limits are built into the data — they can't be turned off.

And the timing is sharp. Japan's harassment law just expanded to small firms. The EU AI Act, Article 5, now restricts workplace emotion-recognition. Tools that judge from content face real exposure. Kashi sits on the other side of that line — rule-based, deterministic, no emotion or sentiment. Content is never stored for evaluation. Hard to copy without rebuilding the whole product.

I'll be straight. We're pre-pilot, with no paying customers yet. But the analyzer works — 908 tests, including a determinism lock. On simulated meetings, the patterns came through cleanly, with zero false positives. Stress-tested at 50 meetings, 5,000 turns. I'm Justine Acaylar — at Keio, building solo, Filipino-Japanese. Exactly the multicultural dialogue this is built for.

Kashi isn't surveillance software. It's trust infrastructure — built to travel to US and EU buyers. From an acceleration partner, I'm asking for three things: US market-fit validation, large-enterprise PoC introductions, and AI-governance mentoring. We never judge what your teams say. We help them hear how they say it.

Kashi — Teleprompter · v3 (trimmed for slower delivery)

// PLAIN-TEXT BLOCK — paste into a web teleprompter (cueprompter.com etc.)