Decades of scattered psychometric research, integrated into one elicited-intake instrument with bounded AI interpretation.
Grounded in already-validated, peer-reviewed literature — not a new test demanding fresh validation, and not a clinician in disguise.
Solitude, persona, bonding, culture, inner richness — each has a mature research literature and its own validated scales, scored in different labs, in different decades, never together. Whole Self with AI synthesises that work into a single architecture: five umbrella indices, each aggregating established instruments into one accessible reading and an interpretive structure you can actually read.
The capacity to be alone — chosen versus imposed solitude, the settings that suit you, and whether you use time alone for emotional repair or merely endure it.
How the self shifts across contexts — how much you read a room and adjust, how aware you are of the impression you make, how consistent you feel across roles, and where you feel most yourself. Variation is described, never graded — no push to "be more authentic."
Belonging — how you bond with groups, read across four dimensions: category (the group as part of who you are), relational (bonds with the actual members), exchange (a place you earn and keep), and autonomous (belonging that preserves your freedom). From these, four configurations can emerge — fused, communal, transactional, and autonomous — describing the gifts and costs of each, not sorting you into a type.
Bicultural identity integration, cultural frame-switching, and sociocultural adaptation — adapted directly from published cross-cultural instruments.
Four inner-life facets — psychological richness, curiosity, self-reflection & insight, and emotional granularity (how finely you tell your feelings apart) — each explored on its own. Your sense of life-as-a-story is drawn together later, in the synthesis, rather than scored here.
The cross-check layer is what makes the instrument honest: where what you report and how you narrate diverge, the platform shows you the tension rather than smoothing it over.
Established, peer-reviewed questionnaires under five umbrella indices. Likert items, staggered across sessions, resumable — no clinical appointment, no waiting room.
Optional reflective prompts capture how you actually talk about your life — the naturalistic text the scores can be checked against.
Your self-report scores are compared, deterministically, against text features from your narrative. Where the two diverge by more than a fixed threshold, the platform surfaces it as an interesting tension — no AI judgement involved.
A schema-constrained model synthesises your structured scores — never the raw text — into a short, personalised summary. It is prohibited from speculating beyond what the scores support.
Curious what the cross-check step actually looks like? Try The Text Lens — paste any text and see the same deterministic markers, free and with no account.
Plenty of work bridges parts of this — NISE for narrative identity, PERMA for flourishing, the Dialogical Self for multiplicity, attachment for bonding. None brings the whole architecture together. What no existing tool does: a bounded reflection system that organizes self-understanding around a person’s relationships with the forces that shape daily personhood.
Most of what we do is single-use; this is the picture you build and own over time — and get to watch change.
PREVIEW →Whole Self with AI is in active development. The first release walks you through the five indices, returns your readings and interpretive bands, and adds the elicited cross-validation that makes it novel. If you'd like to be among the first to try it, get in touch.