How LifecoreML composes respondents before the surface appears.
How LifecoreML composes respondents before the surface appears: it builds prior respondent state first, then lets the surface create a reaction.
LifecoreML composes respondents before a surface appears. Each respondent is built from biographical, behavioural, and cognitive primitives, informed by evidence, not assumptions. These attributes interact to shape how the person perceives, decides, and responds.
The voice layer narrates from prior respondent state. It is narration, not the source of the respondent.
The respondent is not produced by the prompt.
The prompt instructs the role and the answer at the same time. Everything is decided in one step. There is no prior respondent state, and no traceable reasons behind the response.
The respondent is biographically, behaviourally, and cognitively composed before the surface appears. The voice layer narrates from a prior, structured state. The self exists before the surface.
What is composed.
Biography.
A life story with key events, relationships, roles, environment, and turning points.
Behavioural profile.
Stable tendencies, habits, risk tolerance, preferences, decision-making style, and behavioural heuristics.
Memory evidence.
Relevant episodes and associations that can influence perception, judgement, hesitation, and trust.
Attitudes & context.
Beliefs, values, situational context, social influences, and constraints.
Reaction logic.
Heuristics and reasoning patterns that shape judgements and expressions.
From surface to reaction.
A defined page, deck, pricing flow, image, app journey, or message enters the system.
A fully composed respondent reads the surface with their existing self.
The person interprets, feels, compares, and decides how to respond.
The voice layer expresses that reaction in natural, first-person language.
The voice layer is not the respondent.
- Respondent structure
- Biography and life context
- Behavioural tendencies
- Memory evidence and associations
- Preferences and heuristics
- Perception and reasoning
- Wording
- Sentence flow
- First-person response
- Readable narration
Audit and constraints.
A few things LifecoreML does and does not do, stated plainly.
On real people.
Respondents are not modelled on any real individuals. They are original compositions built by LifecoreML. No real person’s biography is reproduced or imitated.
On representation.
This is not a representative sample of any population. It is a structured set of plausible perspectives for exploration.
On certainty.
Behaviour does not tell you what the whole market will do. It reveals reasons and trade-offs to support better decisions.
On replacement.
LifecoreML does not replace real users. It helps teams spend live research attention on sharper questions.
Before the real users.
LifecoreML makes the pre-audience read inspectable, structured, and bounded before real users spend their attention.