Problem

AI technology has become available, but not accessible: The current landscape of chatbot-like AI tools greets users with unnecessary barriers, and exploring new AI services can be cumbersome.

The present situation regarding web-based AI tools offers a wide landscape of individual services, but no interconnection. As these services are maintained by individual companies, accounting and billing takes place separately for each.

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High Entry Cost

Consequently, users are forced to register with multiple different providers and pay multiple bills in multiple places. Aside from possible privacy concerns and ease-of-use, the main issue here is how the financial and psychological entrance hurdle abruptly increase when using multiple AI tools opposed to a single one.

To most users, paying around $10 for an AI service starter subscription seems fair and affordable, even when just trying around. However, paying for example $50 for exploring multiple AI services in parallel is something that most people would consider unreasonable and would abstain from, despite actually being interested in it.

Lack of AI Combination

Furthermore, the aforementioned lack of interconnection makes it harder for users to combine AI tools together. Though copy-pasting is an easy task, not being able to pipe the inputs and outputs of AI services together neatly has a negative impact on efficiency.

Some possibly valuable combinations of AIs that are already doable may be overlooked, because combining AIs isn’t yet such a commonplace thing as it could be. There lies great potential in the combination of AIs, which is not being tapped at all in the current consumer web-based AI situation.

Lack of Custom AIs

Given the fact how most current AI services offer their own or some pre-trained AI model, there is little room for users interacting with own custom-trained, or entirely custom AI models. Without expert-level knowledge, it is almost impossible to set up and execute one’s own AI calculations.

Even then, the usability of this depends gravely on the amount of computing power put to work, making it unfeasible for most private users. As with AI combination, there is large untapped potential here, which cannot be explored and popularized to the broad mainstream of users in the current situation.