Your tools, your everyday work.
Let’s discuss the practical details.

You do not need a technical specification to begin.

Describe a task requiring several manual steps, information that is hard to find or an idea for a tool. The first discussion establishes what happens today: who receives a request, where information is held and what needs checking before a response.

For a company, retailer, tradesperson or non-profit, context matters as much as the proposed solution. A useful tool considers users’ vocabulary, when they use it and applications they already know. A simple description or fictional example may be enough to explain the need.

Involve the people who will use the tool.

Proximity can help discussions about real workflows and everyday constraints. Meetings are prepared with the team according to availability and what needs clarifying. They can also be remote when that better meets the need.

During a project, demonstrations using selected situations support discussion of features and corrections. Identify tool users, people who know the data and decision-makers from the outset. The frequency of discussions is part of the agreed arrangements.

Build a tool or start by understanding.

The studio works on AI assistants, web and mobile applications and connections between data. Document search, internal tracking and drafting replies can lead to different choices. Scoping defines what to build, the information required and how to verify the result.

You may also need a better understanding before deciding. The proposed workshops cover discovering AI, everyday uses and data practices. Participant experience, examples and arrangements are discussed before selecting a programme.

Stellarr Studio also publishes Moon AI. This activity and custom projects are presented separately so you can explore what fits your question. Contact can begin with a general enquiry, without choosing a tool in advance.