A Living Literature platform · est. 2026

Your whole self, measured in one place.

Fifteen years of scattered psychometric work, integrated into one elicited-intake instrument with bounded AI interpretation.

§ 01 The claim

The literature is scattered. Your self isn't.

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 score and an interpretive structure you can actually read.

§ 02 The five indices

Four read the architecture of the self. One reads its inner life.

STI · Self-architecture

Solitude Tolerance Index

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.

Storr · Winnicott · Long & Averill · Nguyen, Ryan & Deci

PFI · Self-architecture

Persona Fluidity Index

How the self shifts across contexts — which roles feel authentic and which feel costumed, where you sit on the identity diffusion–achievement spectrum, and your protean capacity to hold many voices without dissolving.

Goffman · Markus & Nurius · Hermans · Marcia · Lifton

BTI · Self-architecture

Bonding Tribes Index

Attachment and belonging — fusion, transactional, organic, and autonomy patterns mapped onto the established adult-attachment styles, with a secure-base and inclusion-of-other reading.

Bowlby · Ainsworth · Hazan & Shaver · Mikulincer & Shaver

CCI · Self-architecture

Cross-Cultural Index

Bicultural identity integration, cultural frame-switching, and sociocultural adaptation — adapted directly from published cross-cultural instruments.

Benet-Martínez & Haritatos (BIIS) · Searle & Ward (SCAS) · Hong et al.

PRI · Inner life

Psychological Richness Index

Four inner-life sub-scales in one composite — psychological richness, narrative identity, curiosity, and self-reflection & insight — scored individually and as a whole.

Oishi · McLean / NISE · Kashdan (5DCR) · Grant (SRIS)

§ 03 How it works

Self-report, checked against your own words.

The cross-validation 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.

01

Elicited intake

Established, peer-reviewed questionnaires under five umbrella indices. Likert items, staggered across sessions, resumable — no clinical appointment, no waiting room.

02

Narrative in your own words

Optional reflective prompts capture how you actually talk about your life — the naturalistic text the scores can be checked against.

03

Cross-validation

Your self-report scores are compared, deterministically, against text features from your narrative. Where the two diverge by more than a standard deviation, the platform surfaces it as an interesting tension — no AI judgement involved.

04

Bounded AI interpretation

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.

§ 04 Why it differs

A white square the field hasn't shipped.

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:

  • Combines multiple peer-reviewed instruments under one accessible architecture.
  • Pairs self-report with analysis of your own elicited narrative.
  • Cross-validates self-report scores against your naturalistic text.
  • Applies bounded AI interpretation — synthesis of structured scores, not LLM-as-judge.
  • Tracks every dimension longitudinally in a single instrument.

Built openly, launching as a closed beta.

Whole Self with AI is in active development. The first release walks you through the five indices, returns your scores 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.