Use case
BANANA-CONTENT: the agent in a real workflow.
BANANA-CONTENT is a content creation and management application built by STARTUP-UP. It is where the agent was built, then operated — and where you can see it work.
The user's goal
A communications manager opens their dashboard. They see indicators — engagement, views, reactions — but what they are looking for is what to do next.
Previously, answering that meant cross-referencing several screens, comparing periods and drawing the conclusion yourself. The agent does that work from the same data, and suggests directions.
Before / now
The same application, before and with the agent.
« Teste un nouveau contenu consacré à l'équipe sur LinkedIn »
In your application: the same mechanism, on your cases and your indicators.
BANANA-CONTENT screenshots · demo data · analysis produced after confirmation.
What this case shows for your application
The domain illustrated is communications, but the mechanism is not specific to it.
The data is already there
The agent brings no new data: it works with what the application already holds and the user struggles to interpret.
Approval precedes action
A process that consumes resources is announced with its cost, and waits for a decision.
Caution is explicit
The agent separates what the data shows from what it cannot support. That is what makes the analysis usable.
The result stays in the application
The analysis appears next to the dashboard, attached to the work in progress, not in a separate tool.
The guided workflow
- 01
The request
"Can you give me more detail on the engagement rate and suggest a communication strategy?" — typed in the panel, without leaving the dashboard.
- 02
The approval
The agent states what it will produce and its cost in credits. Nothing starts before the user confirms.
- 03
The analysis
It reviews the posts over the period, identifies the strongest performers and flags what the figures cannot support — for instance missing data mistaken for poor performance.
- 04
The recommendations
It proposes concrete, situated actions tied to the posts observed, rather than generic advice.
BANANA-CONTENT is a product built by STARTUP-UP. This case illustrates how the agent works; it is not a third-party customer testimonial.
What would this look like in your app?
The same mechanism applies to your data, your features and your permissions.