Research Credibility & Trust
Our commitments to research ethics, data privacy, and transparent operations. How we earn and maintain your trust.
Our commitments to research ethics, data privacy, and transparent operations. How we earn and maintain your trust.
We collect metadata onlyโnever your task content, descriptions, or personal notes. Your productivity data stays yours.
All autonomous operations are logged immutably. You can see exactly what the system did and why.
We measure cognitive loadโwe don't guarantee life outcomes. No claims about "reducing anxiety" or "boosting success."
$12/month covers our costs plus a transparent margin. No hidden fees, no upsells, no premium tiers.
Export all your data anytime in CSV or JSON. Even after cancellation, your insights are yours to keep.
When sponsors pay for insights from your anonymized data, you get 70% of the revenue. We believe you should benefit.
We're a real, registered companyโnot an anonymous website. You can verify our existence directly with the State of Texas:
Verify on Texas Secretary of StateSearch for "Cognitive Thought Engine" to see our official filing
Independent sources you can check to verify we're legitimate.
DLI methodology published as a citable preprint with DOI. Open for scrutiny.
View PreprintCTE is built and operated with AI assistance. Content is AI-assisted and human-reviewed. We believe in full transparency about how this platform works.
Domain registered with contact info on file. Not a throwaway site.
View WHOIS RecordPayments secured by Stripe. Identity and banking verified.
Registered with the U.S. federal system for awards and assistance. Used for grant and contracting eligibility.
UEI confirms identity validation; does not imply endorsement or funding by the U.S. government.
Third-party dispute resolution and business verification.
Universal business identifier used by government and enterprises.
We're building credibility through verifiable third-party sources, not just claims on our own website.
Full transparency on our 70/30 revenue allocation model.
From sponsor revenue generated by your anonymized data
Constitutional Requirement: This split is written into our operating constitution and cannot be changed without governance approval.
Every decision passes through four constitutional gates. No exceptions.
Any gate failure = System FREEZE
Operations halt automatically until the issue is resolved. No human override possible.
Monthly self-assessment against our own constitutional requirements.
Latest Assessment ยท Target: 95%+
Anti-Transparency Theater: We publish what we would publish if numbers were bad. This score has one item at 88% because we're still improving SLA response times.
Updated in real-time. These numbers reflect our actual operations.
The Decision Load Index (DLI) is being validated as a formal research instrument. Our methodology follows established psychometric validation procedures.
| Component | Status | Details |
|---|---|---|
| Research Protocol | DOCUMENTED | Full protocol with hypotheses, methods, and analysis plan |
| NIST Engagement | ACTIVE | Submissions to CAISI acknowledged. Comments on AI 800-2 and Agent Identity submitted. |
| Sample Size Target | n=200 | Powered for validation analyses |
| Study Duration | 90 DAYS | Longitudinal data collection |
| Comparison Measures | DEFINED | PSS-10, NASA-TLX, CFQ-25 |
Task content: We hash or anonymize all titles and descriptions.
Personal identifiers: Beyond email for account purposes.
Communication content: Only metadata like "15 emails received."
Location or biometric data: Not relevant to our research.
| Right | How to Exercise |
|---|---|
| Access your data | Dashboard โ Export (CSV/JSON) at any time |
| Delete your data | Email request, processed within 30 days |
| Withdraw from research | One-click opt-out, keep using the product |
| Know how data is used | This page + audit logs available on request |
We have a financial interest in positive results. As the creators of CTE, we benefit if the DLI is validated. This is why we:
We believe the DLI measures something real. But we're committed to finding out through rigorous science, not marketing claims.
We're happy to discuss our methodology, data handling, or anything on this page.
We welcome researchers in cognitive psychology, HCI, or related fields who want to collaborate on decision load measurement and validation studies.
We provide: Platform access, technical infrastructure, co-authorship, open data
Published preprints: DLI Framework · Constitutional Self-Governance