An original product-design perspective, not a description of an existing Aisofi product.
Start with one understandable job.
Before offering an assistant that does everything, define one situation it should improve. For a knowledge workspace, that might mean helping someone compare notes and find their sources. For a planning tool, it might mean producing a useful draft of the day.
Ask: Can a person explain what this assistant is for after their first visit?
Separate a suggestion from an action.
An answer, a prepared draft and an action in another system are different experiences. The interface should make that difference clear before someone connects their tools.
OWASP identifies excessive functionality, permissions and autonomy as causes of excessive agency in language-model systems. Its guidance includes narrowly scoped tools and human approval for consequential actions. Read OWASP’s Excessive Agency guidance.
Ask: What can the assistant access, what can it change, and when must it ask?
Let people see what happened.
A proposed design should distinguish planned work, work awaiting approval and completed actions. Show the relevant sources or action history where useful. If an operation fails, explain its actual state instead of displaying a reassuring but inaccurate completion message.
Ask: Can the person check the result and understand what still needs attention?
Give control a familiar place.
Make connected tools, saved preferences and permissions easy to find. Offer a clear way to pause activity and revise the task. Where an action cannot be undone, that limitation should be understood before it happens.
Ask: Can someone change their mind without having to understand the machinery?
What this means for the name
Aisofi could frame an approachable AI experience. These principles are a possible product direction; the name itself is not evidence that any system is accurate, secure or trustworthy.
Explore the naming story