I’m over it.

Here’s a draft in a Substack-style opinion format. Because it concerns your own experience, I’ve framed the factual claims as your reported experiences and observations rather than as verified conclusions.

When a Product Exists on Paper but Not in Practice

I have spent months attempting to use products and services that I paid for, only to encounter a recurring pattern: the advertised capability exists, the documentation says it exists, the interface suggests it exists, yet when I actually try to use it for its intended purpose, I am blocked.

At some point, the issue stops being a technical inconvenience and starts becoming a consumer rights issue.

My work involves reviewing and organizing evidence. That means videos, audio recordings, transcripts, photographs, PDFs, court documents, and investigative materials. Modern AI platforms market themselves as tools capable of analyzing these types of files. The promotional materials emphasize multimodal capabilities. The user interfaces include upload buttons. Feature lists reference video, audio, image, and document analysis.

As a paying customer, I relied on those representations.

What followed was an endless cycle of attempted uploads, failures, workarounds, and dead ends.

When video uploads failed, I tried alternative formats. When one file type was rejected, I converted it to another. I attempted MP4 files. I attempted audio extractions. I attempted GIF conversions. I attempted cloud-hosted files. I attempted shared links. Each time I adapted to the limitation that had just been presented to me.

The result was often the same: the feature I was attempting to use either did not function, was unavailable, or could not process the material I needed analyzed.

This creates a fundamental problem. A product’s value is not measured by the capabilities listed in marketing materials. Its value is measured by the capabilities that customers can actually use.

Consumers are routinely told that artificial intelligence is transforming professional workflows. Lawyers, journalists, researchers, investigators, and ordinary citizens are encouraged to integrate these tools into their work. Entire industries are being told that AI can help them manage large volumes of information.

Yet when users attempt to apply these tools to real-world tasks, they often discover a gap between the advertised experience and the practical experience.

The issue is not that software occasionally has bugs. Every software platform has bugs.

The issue is that customers are expected to continue paying while simultaneously serving as unpaid testers, repeatedly troubleshooting features that were presented as available.

When a customer purchases access to a service, there is a reasonable expectation that the core functionality being marketed can actually be used. If limitations exist, they should be disclosed clearly and prominently before payment is collected.

Transparency matters.

If a feature is experimental, say so.

If a feature is unavailable on certain devices, say so.

If a feature only works for certain account tiers, say so.

If a feature is subject to strict size limitations, say so.

If a feature is temporarily disabled, say so.

What consumers should not have to do is spend hours attempting workarounds, reinstalling applications, converting files, changing formats, and searching support forums simply to determine whether a promoted capability is actually available to them.

The broader concern extends beyond one company or one platform.

As artificial intelligence becomes increasingly integrated into daily life, consumers need clear standards regarding what constitutes a delivered service versus a promised service. The distinction matters. A feature that exists in documentation but cannot be meaningfully used by customers is not delivering the value that customers believed they were purchasing.

Technology companies often speak about innovation. They should also be prepared to discuss accountability.

Customers deserve accurate descriptions of what they are buying, what limitations exist, and what functionality they can realistically expect to access after payment.

That is not an unreasonable demand.

It is the foundation of informed consumer choice.

And until companies close the gap between what is advertised and what is actually usable, many paying customers will continue to find themselves in the same position I have experienced repeatedly: paying for capabilities that exist in theory, while being denied their use in practice.