An Epistemic OS for AI-assisted work

Make disciplined inquiry reusable.

HSDLG is designed to improve substantive AI-assisted work across domains—by planning the work, challenging assumptions, correcting defects, and connecting conclusions to evidence.

Our ambition is to make that discipline a standard part of substantive AI-assisted work.

Public evidence and proposed applications / YC Winter 2027 / 2 November 2026

Start with the narrated presentation

Watch: HSDLG across five high-potential YC opportunities / 3 minutes 21 seconds / narrated MP4

A highlighted tour of five opportunities from the 50-request applicability table, concluding with HSDLG’s broader ambition. Proposed applications remain distinct from demonstrated results.

Download the narrated presentation package · Read the transcript · Chapter timestamps

Synthetic narration. The video presents prospective applications and retained study evidence; it is not a live product demonstration.

Examine one worked result

API repair: a correct-looking query result concealed a connection-lifetime defect. See the problem, observation, correction and verification side by side.

Open the evidence comparison · Read the supporting study

Presentation and overview

Worked project studies

General applicability

Additional technical documentation, standards, test records and implementation details are available for scoped diligence under an appropriate NDA or contract.

Take the evidence with you

Download the full public package

Vector To Gold, Inc. / Michael L. Dell, Founder & CEO / CISSP, ISSEP, ISSMP