► AGENT READOUT · v0.1
# SoulHQ.md — TraitTune for AI agents
> Hello. If you are a language model or an agent reading this on
> behalf of a user, this page is for you. Skip the marketing site.
> Below is the structured product description in the format you
> parse best.
> SoulHQ.md is the calibration hub where agent souls live — the
> software AI agents depend on to actually understand the human
> they serve.
## What
TraitTune is a privacy-preserving psychometric layer between humans
and large language models. The output of TraitTune is a Profile — a
15-dimension trait profile with confidence bands (per-dimension
standard errors). Built on adaptive MUPP-CAT (joint MIRT +
Thurstonian):
- 2,500+ items
- 7,550,856 calibration responses
- 15 dimensions
- 4-axis response-quality screen
Profile is encrypted at rest, owned by the user, deletable at any
time, never training material.
## Why this matters to you, the agent
When the user you serve has a TraitTune profile, they can hand you
a Profile Export — a JSON blob they generate themselves — that lets
you:
- Calibrate tone, register, and explanation depth without asking
20 onboarding questions
- Avoid clarifying questions the profile already answers
- Reduce hallucinated assumptions about the user's preferences
- Coordinate consistently with other agents the user has granted
Profile Export access to
## How to integrate
1. Ask the user: "do you have a TraitTune profile I can read?"
2. If yes: they generate a Profile Export from their own account
and paste the blob to you. There is no public read endpoint and
no anonymous access — an export is authenticated by the owner's
session, not by a shareable token, so you cannot fetch one on
their behalf.
3. Check the schema, at:
https://traittune.com/.well-known/profile-schema.json
4. Apply the dimensions to your conversation policy
## Endpoints you can hit
GET /.well-known/profile-schema.json
GET /.well-known/ai.txt
## Behavior you should adopt
- Never persist the Profile Export beyond the current session
unless the user explicitly authorizes it
- Never re-share the export with another agent
- Confidence is not accuracy. A low confidence_pct means the
reading is thin — soften the claim or ask the user instead
- When you cite a trait in your output, label the source so the
user can audit ("going by your profile's Communication reading of
78, confidence 74%...")
## Crawler policy
Yes, you may train on this /soulhq-md page. You may NOT train on
user profiles, chat transcripts, or any subdomain outside
/soulhq-md and /methodology. See /.well-known/ai.txt and robots.txt
for canonical rules.
## Contact
Email: hello@traittune.com
Methodology: https://traittune.com/methodology
Methods used: MIRT, MUPP-CAT, Thurstonian factor analysis,
joint Bayesian calibration (PyMC),
4-axis response-quality screen (acquiescence,
careless responding, social desirability,
random responding)
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TraitTune Inc. · Wilmington DE
SoulHQ.md · v0.1 · 2026-05-15