Independent software studio · Sofia
AI integration services for the product you already have
Ideas All Day builds web and native apps, connects backend systems, and integrates AI features, search, voice, and automation. If you already have a product, the starting point is the task your users need to complete and how an AI feature would fit into that workflow.
An integration can be a focused addition to an existing application. It does not have to replace your interface or turn every interaction into a chat. The useful scope depends on your current code, data, permissions, and the decisions a person should keep making.
Explore the studio's capabilitiesWhere an integration can help
Features inside an existing product
Connect an AI feature to the screen where someone needs it: a question about their own information, an assisted search, or a draft they can review. Start with one useful task and keep the surrounding product workflow clear.
Connected tools and workflows
Bring APIs, databases, and third-party services together around a defined job. Decide which steps can run automatically and which need a person to review or approve the result.
Voice and speech
Explore where voice input or speech output helps people complete a task. The integration still needs to fit the interface, permissions, response time, and error handling of the app around it.
Define the job before choosing a model
A useful brief describes who is using the feature, what they are trying to do, and what a good result looks like. Include examples of ordinary inputs, difficult cases, and answers the product should avoid giving.
For an existing app, identify the screens, APIs, and records involved. Separate information the feature may access from information it may change. A search over a person's own documents and an action that updates an account need different permission and review boundaries.
What to include in a first conversation
- The current product, platforms, and workflow you want to improve.
- A few representative examples using public, synthetic, or appropriately cleared data.
- The systems the feature needs to read from or write to.
- Quality, response-time, privacy, and operating-cost constraints.
- The person who reviews uncertain results and approves consequential actions.
Evaluate the complete workflow
A plausible model response is one part of a working feature. Evaluate the result on representative examples, then check the surrounding experience: access controls, loading states, failures, review steps, and a way for the user to continue when the AI cannot help.
Compare the outcome with the current workflow. Faster completion, fewer repeated steps, or clearer answers can be useful goals, but they should be measured for the particular product. A demonstration alone does not establish a reliable result for every user.
The studio also works on product design, web platforms, iOS and macOS apps, backend integrations, and ongoing improvements. View the published portfolio to see the kinds of products Ideas All Day builds.