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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