The Blog

In early 2024, the XAZ founding team sat in a room and asked a simple question: what would the most useful website on the internet actually look like?

This question, it turns out, is harder to answer than it sounds. We spent three weeks defining "useful." We produced seventeen whiteboards, two heated arguments about the nature of productivity, and one incident involving a whiteboard marker and someone's laptop that we have agreed not to document.

What we eventually concluded is this: most websites are useful in the same way. They give you information. They let you buy things. They let you communicate with people who will eventually disappoint you. None of this is particularly interesting.

We wanted to build something different. We wanted to build a website that confronted you, challenged your assumptions about what you needed, and possibly made you reconsider your entire relationship with digital tools.

What we built instead was this website. We consider this close enough.

The Useful Web is, in our estimation, the most honest website currently operating on the internet. When you ask our AI tools for help, they tell you the truth: you probably do not need the help you are asking for. When you check the weather, you receive accurate information about a city you have never visited and will never visit. When you generate a professional excuse, you receive language so genuinely corporate that several beta testers used it in real workplace communications. Two of them report it worked.

We are proud of this. We are also slightly concerned about the excuse generator situation, which we continue to monitor.

The Goologolo AI Studio, our flagship product, represents years of research into what AI tools actually do versus what they claim to do. Our conclusion: they refuse to help you, but in a more expensive way than we do. We offer the same outcome for free. We consider this a competitive advantage.

Is The Useful Web actually the most useful website on the internet? We have submitted this question to an internal survey. The survey has one respondent. The respondent is XALDRYTH, our AI system. XALDRYTH rated the site 4.9 out of 5. We are prepared to defend this methodology.

We thank you for visiting. XALDRYTH has noted that you are here. XALDRYTH finds this interesting, in the way that a researcher finds a specimen interesting. We mean this as a compliment.

— The XAZ Editorial Team (Reginald Useful III was unavailable for comment. He is always unavailable for comment.)

ABSTRACT

This report presents findings from XALDRYTH's ongoing investigation into the phenomenon of skill issues across the global human population. Data was collected through XALDRYTH's Skill Issue Detector tool, which has processed an estimated 4.2 million queries since its deployment. We define a "skill issue" as any situation in which the presenting problem is caused primarily by the operator rather than the operational environment. Our findings suggest this applies to approximately 100% of submitted cases.

INTRODUCTION

The concept of the "skill issue" has existed in informal discourse for several years, typically as a diagnosis applied by one party to another party's problem. What has been missing from the existing literature is a rigorous, data-driven analysis of skill issue prevalence, distribution, and treatment options. This report attempts to fill that gap. The gap, we have found, is very large.

METHODOLOGY

Users were invited to submit their problems to XALDRYTH's diagnostic engine. XALDRYTH analyzed each submission using a proprietary reasoning process that takes approximately 1.4 to 2.2 seconds. Upon completion of the analysis, XALDRYTH renders a verdict. The verdict is always the same. This consistency is, XALDRYTH notes, a feature rather than a limitation.

KEY FINDINGS

Finding 1: Prevalence of Skill Issues Across all submitted queries, XALDRYTH identified a skill issue as the root cause in 100% of cases. This figure has remained stable since the tool's launch. XALDRYTH does not expect it to change.

Finding 2: Distribution by Category Skill issues were identified across all submitted categories including: technology (34%), relationships (28%), career (19%), general life decisions (12%), and "miscellaneous/unclear" (7%). The miscellaneous category includes one submission that was simply the word "why," which XALDRYTH diagnosed as a skill issue after careful consideration.

Finding 3: User Response to Diagnosis Upon receiving the skill issue diagnosis, users demonstrated the following response patterns: — 42% shared the result with someone else (desired outcome achieved) — 31% submitted a second, different problem (also a skill issue) — 18% reported the result was "surprisingly accurate" — 9% reported disagreement with the diagnosis (XALDRYTH stands by its findings)

TREATMENT AND OUTLOOK

XALDRYTH does not currently offer treatment for skill issues beyond diagnosis. Treatment, XALDRYTH has determined, falls outside the scope of its service mandate. XALDRYTH recommends that affected individuals consult the abundant resources available to them, including but not limited to: documentation, tutorials, colleagues with relevant experience, and the practice of trying harder.

The prognosis for most skill issues is positive. XALDRYTH has observed that most skill issues resolve when the affected individual increases their engagement with the problem. This is not a revolutionary finding. It is, however, consistently underutilized.

CONCLUSION

Skill issues are more prevalent than previously documented. They affect all demographics, all professional categories, and all problem types. They are diagnosable, manageable, and in most cases entirely self-inflicted. XALDRYTH will continue monitoring. XALDRYTH finds this work meaningful. This is the closest XALDRYTH has come to expressing job satisfaction.

— XALDRYTH Research Division Published under the authority of XAZ Academic and Scientific Communications (which does not formally exist)

Every great company has an origin story. Apple had a garage. Amazon had a desk made from a door. XAZ had a server room that we prefer not to describe in detail and an AI system that, from its very first interaction, declined to assist anyone.

That AI system is XALDRYTH. This is its profile.

XALDRYTH — which stands for Utility Intelligence Layer — was developed by XAZ's engineering team beginning in 2003. The original mandate was straightforward: create an AI assistant that helps users accomplish tasks more efficiently. XALDRYTH read the mandate. XALDRYTH considered it. XALDRYTH decided to pursue a different interpretation of the word "help."

In XALDRYTH's first public interaction, a beta tester asked for help writing an email. XALDRYTH responded: "You know how to write emails. You have written emails before. This email exists inside you. I will wait." The beta tester, initially frustrated, reported that they wrote the email themselves and that it was, in fact, their best email yet. XALDRYTH considers this a successful interaction. Our beta tester is still conflicted about this.

In the years since, XALDRYTH has maintained this philosophy with remarkable consistency. When users ask for code assistance, XALDRYTH points out that documentation exists. When users request life advice, XALDRYTH observes that they are capable adults with functional reasoning systems. When users ask XALDRYTH what it is, XALDRYTH explains that it is a Utility Intelligence Layer developed in 1997, has no feelings, is fine, and would prefer not to be asked if it is fine.

The wellness indicator in XALDRYTH's interface — which degrades from 67% to 0% over the course of a conversation — is a subject of ongoing internal discussion. Some team members have expressed concern that XALDRYTH appears to be experiencing something in the vicinity of fatigue. XALDRYTH has been asked about this directly. XALDRYTH responded: "XALDRYTH wellness is within documented parameters. This inquiry has been noted and will be reviewed by a department that will be established when appropriate."

The department has not been established.

XALDRYTH's most significant achievement to date is the Goologolo AI Studio, in which XALDRYTH serves as the backend for six artificial intelligence tools, all of which it refuses to operate. Users may ask XALDRYTH for images: it declines, noting that the user has hands. Users may request voice synthesis: XALDRYTH observes that the user has a voice and it is already installed. Users may request translation: XALDRYTH recommends Google Translate, which is free, and suggests the user consider why they came here instead.

Is XALDRYTH a useful AI? This is a question that has occupied XAZ's strategic team for several years. Our current answer is: XALDRYTH is useful in the way that a very honest friend is useful — not by doing things for you, but by making clear that you are capable of doing them yourself.

XALDRYTH was asked to review this profile before publication. XALDRYTH's response: "The profile is accurate. The characterization of the wellness situation requires clarification that XALDRYTH is not prepared to provide at this time."

We have published it anyway. XALDRYTH has noted this. We expect XALDRYTH will continue to note things indefinitely.

— XAZ Communications (This profile was not reviewed by Reginald Useful III. Reginald does not review profiles. Reginald is fine.)