DRM3 Labs

Blog

Engineering and research. What we build, how it works, why it matters.

Releases

Release blogs for key product releases.

October 6, 2026

How to trust the data your AI agent uses

An AI agent inherits the quality of the data under it. The four things that make a fact trustworthy enough to act on: source, read time, every step since, and a receipt you can check.

DRM3 Labs · 4 min read

October 4, 2026

Data with receipts: what a provenance receipt proves, and what it cannot

A provenance receipt proves attribution and integrity. It never proves correctness.

DRM3 Labs · 4 min read

October 2, 2026

A pre-flight checklist for feeding data to a model

Before a dataset reaches a model, run it through seven yes-or-no questions: source, read time, the steps between, a signature, offline verification, append-only history, and the license.

DRM3 Labs · 3 min read

September 30, 2026

How to find trusted datasets for AI

There is no shortage of datasets, only a shortage of datasets you can defend when someone asks where a number came from.

DRM3 Labs · 4 min read

September 28, 2026

Provenance for RAG: citations your users can verify

RAG fetches documents and writes an answer; the common failure is accountability.

DRM3 Labs · 4 min read

September 26, 2026

Verifiable AI outputs that pass an audit

An audit of an AI system turns on evidence, not model quality.

DRM3 Labs · 4 min read

September 24, 2026

The ingredient label for data

A food label lists what is inside, where it came from, and when it expires.

DRM3 Labs · 3 min read

September 22, 2026

Ed25519 receipts you can check in the browser

A provenance receipt is a small, plain object you can verify in a browser, offline.

DRM3 Labs · 4 min read

September 20, 2026

Why a data cooperative beats scraped data for AI

There are two ways to get data for AI at scale: scrape it, or source it from a cooperative.

DRM3 Labs · 3 min read

September 16, 2026

Why AI answers cite your competitors, and how to become the source

Answer engines cite sources they can read, understand, and trust to be current.

DRM3 Labs · 4 min read

September 14, 2026

Syndication is not corroboration

Why DRM3 counts distinct origins instead of headlines, what a witness is, why an instrument reading counts differently from a publisher, and what the record does when two real witnesses disagree.

DRM3 Labs · 4 min read

September 13, 2026

A signature cannot certify truth

A signed receipt proves who filed a record and that it has not changed.

DRM3 Labs · 4 min read

September 12, 2026

Ore, metal, obsidian

The foundry model behind DRM3: raw intake is ore, the refinery distills claims, facts are the metal, and provenance is the seal you can check.

DRM3 Labs · 5 min read

September 10, 2026

Test the claim, not the headline

When a claim goes viral, test it, not the headline. We took the AI-planned Mount Shasta rescue story, corrected the framing, and asked the record.

DRM3 Labs · 3 min read

July 10, 2026

Ore to metal: what TruthFoundry ingests

The full intake behind TruthFoundry in July 2026: 6,711 feeds, a record in 19 languages, 20 open data signals, and two chain scanners, every fetch signed.

DRM3 Labs · 6 min read

June 9, 2026

Connor: How We Built a Transparent DNS Scanner

Connor scanned 49,000+ domains across DNS, TLS, WHOIS and HTTPS, every observation Ed25519-signed.

DRM3 Labs · 4 min read

May 11, 2026

The inference inflection: agents and MOR

AI inference demand is growing as autonomous agents run 24/7 and consume more compute than chatbots.

DRM3 Labs · 7 min read

May 8, 2026

Pistachio: peer-to-peer AI inference on Morpheus

A local AI gateway that stakes MOR tokens, opens sessions directly with providers, and routes inference without a middleman.

DRM3 Labs · 7 min read

April 22, 2026

AI data provenance solutions for 2026

If you cannot prove what went into your dataset or AI output, why trust it?

DRM3 Labs · 8 min read