Recently, I developed the server-side component of VeriHash and launched its official public website. The website now serves as the official public gateway for VeriHash credentials.
Instead of mainly relying on GitHub Gist, VeriHash credentials can now be published, indexed, and viewed through a dedicated platform.
But the reason I built VeriHash is not only technical.
It also comes from a broader reflection on the role of intermediaries and trusted third parties in human society.
In my view, the existence of neutral intermediaries is one of the important signs of a civilized society.
Without a trusted third party, fair transactions are difficult to achieve. Human interactions may easily fall back into a world where power, violence, information asymmetry, or private control determines the outcome.
Markets, courts, notaries, banks, exchanges, certification agencies, and professional institutions all play this role in different ways.
They stand between parties, record facts, reduce disputes, and make cooperation possible among people who do not fully trust each other.
However, human intermediaries are never perfectly neutral.
They may be affected by interests, institutional incentives, limited information, or simple human error. This does not mean intermediaries are unnecessary. On the contrary, it means that better forms of mediation and verification are always needed.
The emergence of AI may bring a new possibility.
In the past, AI was often understood mainly as a knowledge base or productivity tool. But in the future, AI may also become a new type of intermediary — not replacing courts, lawyers, notaries, or institutions, but helping society process information more objectively, consistently, and at scale.
This is where VeriHash fits in.
VeriHash does not try to prove that a person is excellent.
It simply helps preserve a long-term, machine-readable record of what a person has actually worked on.
A professional’s real value is often hidden in documents, revisions, legal analysis, debugging, case preparation, and other hard-to-display work. Traditional resumes and social media posts are not always enough to represent this kind of serious effort.
VeriHash aims to create a lightweight layer of evidence:
- work summaries generated locally;
- credentials signed by the user’s own identity key;
- hash-linked records forming a tamper-evident chain;
- public, AI-readable publishing through VeriHash.org.
The goal is not self-promotion, but evidence-based personal reputation.
If AI is going to help future clients, collaborators, employers, or institutions evaluate people and work, then AI needs access to reliable, structured, and long-term evidence — not only polished profiles or short social media updates.
For me, VeriHash is an experiment in that direction.
It explores a future where AI is not only a tool for answering questions, but also a neutral reader, organizer, and intermediary for professional evidence.
More information is available here: