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Interview AI Demo

A demo that records expert interviews in audio and text, extracts causal relationships from what is said, and visualizes them in real time. It organizes the macro factors behind a decision and links each one to its supporting evidence.

Demo Highlights
  • Live transcription of the AI interview
  • Automatic extraction and visualization of causal chains
  • Statements linked to evidence and market snapshots
  • Status updates in real time

Simulacra AI Expert Interview

Interview AI • Finance
Recording
INTERVIEW

AI Interview

The AI draws out thinking, values, and tacit knowledge through dialogue

REC 00:12:48
AI
AI Interviewer
10:03

When you make an investment decision, what information and indicators do you look at first?

EX
Expert
10:04

I start with the direction of rates, prices, and the economy, plus corporate earnings trends. In the short term I watch supply and demand and spreads; over the long term, whether profit growth holds up.

AI
AI Interviewer
10:06

When rates or FX move sharply, how does that change your judgment?

EX
Expert
10:07

If rates rise, the discount rate goes up, so I pull back on growth names. If the yen weakens, I look at exporters' profits and adjust the weighting. When credit spreads widen, funding costs rise and capex slows, so I turn cautious.

Type your next question (voice or text)… e.g. further causal chains, observable indicators, possible interventions
CAUSAL

Causal model

Extracting and structuring the individual's causal reasoning

Causal network (extracted)Causal Graph
Rates↑Discountrate↑PER↓PriceWeakJPYExportmargin↑Earnings↑CauseEffectIndirect
Simulacra • Causal Digital Twin Pipeline
Session ID: FIN-VOICE-2026-01