A Transcript Is Not a Person: Engineering Identity Into AI Clones

AI Builders Global Conference 2026

Date to be announced · Time to be announced

Delphi builds digital versions of people. The first answer is the product: if someone's Delphi cannot speak from their life on day one, trust never recovers. We scaled content training from about 5K to about 100K items per day at 99.8% workflow success using Temporal durable workflows so crashed workers resume instead of losing half-trained minds. Attribution is the silent failure: multi-hour podcasts mix speakers, so we use onboarding voice clips to train only on the right segments. Agents grow a temporal knowledge graph for retrieval, and we borrow stylometry to score whether a Delphi matches its person (about 70% on real conversations vs about 3% chance). A practitioner talk on pipelines, attribution, graphs, and identity evals.

Session status: scheduled

Track: AI Engineering, Architecture & Infrastructure

Level: Intermediate

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