Many AI tools are good at producing a single answer, but real work rarely ends with one answer. A user may need to organize source material, confirm rules, review the result, and decide whether to save, send, or revise it. When those steps stay inside a conversation, the process is hard to review and hard to repeat.
iAgent starts by turning the user's request into a draft workflow. The draft separates inputs, processing steps, confirmation points, and expected results. The user can review the workflow before running it instead of handing the whole task to the model at once.
When the workflow runs, iAgent records the status of each step. The user can see which material was used, where confirmation was needed, and where output was produced. If something goes wrong, the user can return to the specific step instead of describing the whole task again.
This is useful for repeated work such as turning a document into a table, sorting a batch of files, or running a standard review checklist. The goal is not to make the page complex; it is to give the task clear steps, records, and a way to continue.