Project Veilbreak
The open-data experiment registry built by Code of Reality: community members run protocols under the DMT laser paradigm and submit outcomes.
What it is
Veilbreak packages the pilot protocol into named protocols and lets participants register experiments and report whether they observed code-like structure ("Code Observed"). It exposes a public read API. It is best understood as a structured self-report collection, not a controlled trial platform.
Official site: veilbreak.ai ↗ · API: api.veilbreak.ai ↗
Snapshot as of 2026-08-23
| Experiments registered | ~82 |
|---|---|
| Protocols | ~8 |
| "Code Observed" reports | ~56 |
Community-submitted observational records, not a randomized controlled trial. Aggregate 'observed' counts are not a controlled replication rate: protocols, substances, wavelengths and outcome coding vary. Must be re-checked dynamically via the public API rather than hardcoded.
Live numbers are re-checked by our daily monitoring against the public API; historical snapshots are preserved so changes are never silently overwritten (see updates).
Independent data-quality notes
These issues were identified by comparing Veilbreak metadata with the primary paper. They are recorded as potential issues unless independently resolved.
- Dose metadata: The original paper describes 1 g loaded into the projection device, while Veilbreak metadata may treat 1000 mg as the participant dose. Potential data-quality issue (unresolved)
- Projection distance: The paper and Veilbreak baseline metadata appear inconsistent on projection distance. Potential data-quality issue (unresolved)
- Unit anomalies: Some substance values appear incorrectly entered or converted. Potential data-quality issue (unresolved)
- Outcome coding: 'Code Observed' can include very different kinds of reports — from brief structured forms to detailed glyph sequences. Known heterogeneity
Why it matters either way
If cross-observer correspondence is real, Veilbreak's structured records could become decisive evidence. If it isn't, Veilbreak is already a fascinating natural dataset on expectation-driven perception at scale. Both outcomes make preserving its history worthwhile.