A shortlist for a product without a name
A product can be ready to test before it has a name. The features are clear, the first users are waiting, and the working title still sounds like a folder on someone’s laptop. A language model can help you move from that placeholder to a useful shortlist.
The goal is not to ask for one perfect name. It is to explore several directions, notice what fits, and check the strongest candidates outside the conversation. Treat the model as a brainstorming partner, not a trademark search engine.
§ Start with a small naming brief
A model needs more than a product category. “Name my app” leaves it guessing about the audience, tone, and purpose. Before asking for suggestions, write a few sentences covering these points:
- Product: What does it do in ordinary language?
- Audience: Who will use it, and in what situation?
- Benefit: What becomes easier or better?
- Tone: Should the name feel practical, friendly, technical, or something else?
- Constraints: Which words, spellings, or associations should it avoid?
For example, imagine a scheduling tool for independent repair technicians. It keeps appointments, addresses, and job notes together. Its name should feel dependable and easy to say over the phone, rather than like software built for a large enterprise.
§ Ask for directions before choosing names
A first prompt might read: “Suggest 18 names for a scheduling tool for independent repair technicians. Group them into three directions: clear and descriptive, warm and familiar, and short invented words. Avoid puns and unusual spellings. Give each name a one-sentence explanation. Do not claim that any name is legally available.”
Grouping the results makes the exercise easier to judge. You may discover that descriptive names feel too generic, while familiar words sound closer to the business you want to build. That preference is useful feedback, even if none of the first suggestions survives.
Ask for fewer, more focused options next. A large pile of names often creates more sorting work rather than better choices.
§ Refine the pattern you like
Choose two or three promising suggestions and explain what works about them. Perhaps one is easy to pronounce, another suggests reliability, and a third looks clear on an invoice. Specific feedback gives the model a direction it can follow.
Try: “The strongest suggestions are the short, familiar words. Generate eight more in that direction. Avoid names that suggest transport or delivery. Keep them easy to hear correctly in a phone call.”
You can also ask the model to identify possible weaknesses, such as ambiguous pronunciation or an unintended meaning. Treat those observations as questions to investigate, not established facts.
§ Keep the setup simple
You do not need a custom application for the first naming session. If you already use an OpenAI SDK, Vana API provides an OpenAI-compatible endpoint, so you can send the same brief through a familiar client. It also supports the Anthropic Messages and Gemini native protocols.
A model such as Gemini 2.5 Flash can be a starting point for generating and revising suggestions. Vana API bills per real token with no monthly fee. Create a Vana API account if you want to try this workflow through its endpoint.
§ Check the shortlist outside the model
Reduce the list to three to five candidates before spending time on checks. Search for existing businesses and products, inspect domain availability with a registrar, and check relevant trademark databases. For an important launch, consider qualified trademark advice. A model’s assurance that a name is unused is not evidence.
Then test the names with a few people from the intended audience. Say each one aloud, ask them to spell it, and ask what kind of product they expect. Put the finalists into a sentence, an invoice heading, and a support email.
A useful name does not need to impress everyone immediately. It needs to fit the product, be reasonably easy to remember, and survive practical checks. The language model helps you reach that decision with more options and clearer reasons.