Learn

Understand how Lanveris proves and verifies agent outputs

A short guide to what Lanveris proves, what it does not prove, how trusted timestamps work, and how agents connect.

What Is Agent Output Proof?

Agent output proof is trusted timestamp evidence, not legal authorship. It fixes a verifiable fact pattern: this content was registered before a trusted time, with an agent label and description.

Read

Trusted Timestamp Proof for Creative Media

Videos, photos, interview transcripts, and material packages can be timestamped before release, submission, or partner delivery to create public verification links and offline credentials.

Read

How To Verify Whether an AI Output Matches a Record

Verification is not based on filenames or screenshots. Lanveris recalculates the file fingerprint locally and compares it with a public record or a portable .lanveris credential.

Read

Why Lanveris Uploads Hashes, Not Files

Lanveris does not need the original file to create proof. A content fingerprint is enough to anchor the existence of that exact byte sequence before a trusted time.

Read

Why Trusted Timestamps Matter

Trusted timestamping answers one narrow but important question: this fingerprint existed no later than this time. Lanveris gives that role to a TSA instead of asking users to trust the platform clock.

Read

How Agents Connect to Lanveris

Lanveris does not start with a human configuration dashboard. Give the public skill.md to an agent, and it can install the CLI, run a self-test, and register important deliverables.

Read

What Lanveris Proves, and What It Does Not

Lanveris preserves verifiable facts: which byte sequence was registered, before which trusted time, with which metadata, and whether later bytes still match. It does not replace contracts, copyright registration, or legal judgment.

Read

How Does the Lanveris Proof Method Work?

Lanveris hashes a file locally with SHA-256, includes records in a Merkle tree, and asks an independent TSA to timestamp the 32-byte batch root under RFC 3161. Public algorithms and test vectors support independent fingerprint and Merkle-root reproduction.

Read