Which neural networks do product managers use

Bermet Dosmambetova, product manager, founder of FluentIT and Product Push, Instagram

There is an entire group of tools that help product managers at various stages of working with a product.

The first group — tools for launching an MVP
When a product idea arises and it is necessary to quickly verify its viability, tools for rapid prototyping are used. These can be chatbots created on the basis of ChatGPT, in the ChatGPT Plus version, Claude, or using platforms like Botsonic. In such bots, you can configure a prompt to solve a specific user problem, which allows you to quickly test the idea and understand how relevant the task is and whether the proposed solution fits.

For working with an existing product, AI tools for research are used. For example, deep research features help analyze the market and competitors, prepare roadmaps, form go-to-market strategies, and choose effective promotion channels and tools.

The second group — NoCode and LowCode platforms
Among such tools, V0 from Vercel is popular — a service that allows you to create future product interfaces using prompts. The visual part is implemented quickly, but full functionality will require backend refinement.

The Lovable.so platform is a convenient tool for creating landing pages and small websites with a high-quality user interface. For more advanced developers, solutions like Replit are suitable, where you can work with both frontend and backend, assembling a full-fledged minimum viable product.

The third group — AI assistants for planning and optimizing work
Tools such as ChatGPT, Claude, and others are used for writing roadmaps, creating user stories, planning, and prioritizing features. The manager sets a prompt, receives several solution options, and refines them. This helps find new ideas and significantly speeds up work.

The fourth group — AI assistants for developers
This category includes Local Developer Assistance solutions, such as Cursor, Windsurf AI, and others. Such assistants write code based on prompts, which developers can rely on, speeding up the process of creating a digital product.

Aliya Ismailova, product manager at Talabat, Instagram

How AI helps me as a product manager:

1. To accelerate thinking — when I need to quickly break down an idea into hypotheses, formulate NSM or a strategy draft, I use AI as a "thinking mirror." It helps me get to the essence faster and structure the flow of ideas.

2. As an editor and challenger — I often give it text for editing or ask it to argue with me from a different perspective. This helps me get out of my own tunnel vision and make communication clearer.

3. In research and solution preparation — AI helps gather comparisons between markets, competitors, and strategies, especially if I need to quickly immerse myself in a new area. This saves dozens of hours of research.

4. In product discovery — I test the wording of questions that will later go into interviews, or I use AI to generate user stories to look at the product from different angles.

Mostly I use ChatGPT, o3/o4-mini-high, or Deep Research.

Maskara.ai, DeepSeek, or Perplexity if I need output from different models.

Yerlan Meirbek, product manager at Freedom Cloud, Instagram

As a product manager, I actively use ChatGPT in my work and daily life. For a long time, I worked with the free version, but recently switched to a paid subscription — and the result exceeded expectations. For $20 a month, you get a product that feels in quality and capabilities to be a level higher. Work becomes faster, deeper, and more accurate.

With the subscription, many limitations are lifted. For example, now I can upload videos, work with large volumes of information, and solve a multitude of small tasks that ultimately save time and improve the quality of the result. If you compare, it's like switching from a "Zhiguli" to a Mercedes — both cars will get you to your destination, but the experience and comfort are completely different.

The main task I solve with the help of ChatGPT is research. If the topic is new to me, it is enough to enter a query, and the model will quickly break down the material into blocks. This helps to quickly understand and structure the information.

Additionally, I maintain an active LinkedIn page, where ChatGPT performs several functions at once. First, it helps with spelling and formatting publications. Second, it acts as a sort of editor and advisor: I send it text and ask it to evaluate or suggest improvements.

Another important task is working with project materials and presentations. For example, when creating a product strategy for Freedom Cloud, I formed the document structure using ChatGPT. It suggested basic blocks: market analysis, service overview, risk map, project plan. Of course, prompt adjustment and refinement are required, but as a base for further work, it is convenient and saves time.

I should also note that ChatGPT helps me not only at work but also in personal projects. I am passionate about swimming and use the model to analyze technique. I upload training videos, receive recommendations, as well as advice on recovery and nutrition. For example, at ChatGPT's request, I found a recipe for a homemade isotonic drink — a drink that replenishes energy and helps cope with long swims.

When the first version did not suit me due to health reasons, we refined the composition together. This is an example of how a tool helps not only to solve standard tasks but also to find individual solutions that make life more comfortable.

Ksenia Nemchinova, product manager at Uzum, Instagram

1. ChatGPT is suitable for optimizing many processes and tasks, for example:

— information search
— analysis of large texts or user interview results
— hypothesis generation
— translating an idea into a user story, and much more.

2. tl;dv — a tool that helps me create meeting notes from work calls. I connect it to important calls so that summaries of key points are always at hand for all meeting participants.

3. Midjourney — helps quickly select references and images for the design team, which simplifies and makes the process of explaining the technical specification for visual designers more intuitive.

4. Miro AI — Miro functionality, helps structure information faster and work with boards.