BotHub compiled 15 AI services for code, images, video, music, and everyday work
BotHub updated its large roundup of AI tools for everyday work, study, and creative tasks. The list includes Cursor and GitHub Copilot for code, as well as…
AI-processed from Habr AI; edited by Hamidun News
BotHub has published a large collection of 15 AI services that address everyday tasks — from writing code and creating presentations to generating music, video, and 3D models. The material demonstrates how the AI market is moving away from universal chatbots toward a set of narrow, yet already quite applied tools.
What made the list
The list includes services for almost all popular scenarios. For development, the author highlights Cursor, Firebase Studio, and GitHub Copilot: these are tools that don't just suggest code, but can analyze a project, complete code fragments, work with the terminal, and accelerate the entire cycle from prototype to debugging. Alongside them are services for office tasks, such as Sokratic for quick Russian-language presentations and GigaChat with a document editor, designed for those who need to work in Russian without extra barriers.
The collection is not limited to text and code. It includes Reve Image for generating and editing images, Hitem3D for turning 2D images into 3D objects, Elai for video with digital avatars, Hailuo AI and Kling AI for generative video, as well as Suno and Aiva for music. Separately mentioned is MiniMax-M2 — an open model for tasks where agent scenarios, coding, and command chains are important.
Essentially, this is no longer a list of "ChatGPT alternatives," but a showcase of specialized AI products for specific workflows.
How the market is dividing
The main value of this collection is that it shows a new map of the AI market. Instead of one universal assistant, users increasingly need a set of services, each of which solves its own task significantly better than the rest. This is especially evident in how code editors, video generators, music models, 3D tools, and speech synthesis APIs for developers end up in one list. The boundary between mass-market and professional scenarios is rapidly blurring here.
- Development: Cursor, Firebase Studio, GitHub Copilot
- Presentations and texts: Sokratic, GigaChat
- Images and 3D: Reve Image, Hitem3D
- Video and avatars: Elai, Hailuo AI, Kling AI
- Music and voice: Suno, Aiva, Google Cloud Text-to-Speech
From this set, you can clearly see how quickly AI tools are becoming applied. In some cases, the bet is placed on local language and convenience for mass users, in others — on generation speed, and in yet others — on depth of integration into the professional environment. Particularly noticeable is the shift in development: AI increasingly acts not as a chat for advice, but as a real co-executor that can read a project, make changes, and verify results.
Where there are limitations
The collection is also useful because it doesn't try to present all services as equally mature products. Some platforms have a very conditional free mode: some offer only daily credits, some allow you to make a demo but can't download the result without payment, and some free tiers only permit personal use without commercial rights. This is important because in the AI market, the word "free" often means not full access, but a short test before subscription.
There are also practical limitations. Some services remain inconvenient for users from Russia due to payment or geography, and result quality is still not consistently stable everywhere. For presentation generation, sometimes you need to manually fix the structure and images; for video — put up with limits and queues; for music — account for licenses; and for Russian text — choose models that are actually well-trained on local data.
In other words, the collection shows not magic, but a working market with its own compromises.
What this means
Such lists capture an important shift: AI ceases to be one big showcase of "smart chatbots" and transforms into a set of mature applied services. For users, this means a more targeted choice based on the task, and for companies — the need to assemble their own stack of tools instead of betting on one universal product. Those who will win are not those who "have AI at all," but those who can quickly integrate the right services into real workflows.
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