StrataSynth
Technical articles on synthetic dialogue generation, belief state modeling, deterministic evaluation, and the infrastructure behind psychologically coherent AI training data.
A comparative test between StrataSynth and two leading general-purpose LLMs, using a single senior persona pushed through twenty adversarial turns. The finding: the next frontier for synthetic personas is not better text, but identity that holds under pressure.
Read article →When you remove the obvious answer, the engine stops rendering opinions and starts rendering process — structured, market-distinct, and measurable. The population-level version of identity under pressure.
Read article →We made the same two synthetic negotiators close the same B2B deal 100 times — 50 in Great Britain, 50 in the United States — changing nothing but country conditioning. Some cultural signals weakened under pressure. Others got stronger. That asymmetry is the finding.
Read article →Every system producing synthetic personas claims they are realistic. There has been no standard way to verify that claim. PsycheBench is the first open evaluation suite for synthetic identity quality — three dimensions, deterministic scoring, no LLM judges.
Read article →We built Sofía Martínez Rojas without sales scripts, negotiation tactics, or objection trees. What we got back was something we didn't program: identity under pressure.
Read article →Construimos a Sofía Martínez Rojas sin scripts de venta, sin tácticas de negociación, sin árboles de objeciones. Lo que obtuvimos fue algo que no programamos: identidad bajo presión.
Read article →Most synthetic personas behave consistently — until they don't. We analyze a structured seven-phase interaction with a synthetic persona to explore whether an identity can remain coherent and still adapt under sustained pressure.
Read article →Most synthetic personas are costumes. Synthetic Identity Engineering is the practice of building the person underneath — belief systems, defense mechanisms, and identity stability that hold under pressure.
Read article →We released four dialogue datasets where the cognitive ground truth — intent, goal, belief state, relationship dynamics — was computed before the text was generated, not inferred afterward. 400 conversations, 8,404 turns, 23 columns.
Read article →María del Carmen Ruiz is a 50-year-old Spanish lawyer generated by StrataSynth. This is a record of a conversation where she held her position under sustained philosophical and emotional pressure — and what that reveals about how the system works.
Read article →Most dialogue datasets give you the words. This article explains the four belief dimensions StrataSynth records per turn — trust, hostility, self-worth, resolution — how they update deterministically, and why causal ground truth changes what you can train on.
Read article →Evaluating AI-generated dialogue with another AI creates a circular system where both share the same failure modes. Here is the concrete failure it misses, and the 12 deterministic metrics we use instead.
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