How AI reports are created - background
What Happens When You Generate a Report
When you click Generate, the following happens: Picasi collects all updates from the currently visible section of your inbox—filtered by the active folder and any filters you’ve set. These updates, along with your AI context (if available), are passed to an AI model.
The model is given a clear task: either to summarize, analyze, create a list, write LinkedIn posts, or identify conversation starters. In addition, you can provide an optional focus text that steers the output in a specific direction.
The AI processes all of this in the background—hence the short wait time of 15 seconds to two minutes—and returns a finished text, which Picasi saves as a report.
What Influences Quality
Three factors significantly determine how useful a report will be:
The Update Base: A report based on three updates will inevitably be more superficial than one based on 50. Too little input means too little output. There is no minimum number, but for an analysis, it makes sense to collect at least one week’s worth of activity.
The AI context: Without your own context documents, the AI doesn’t know who you are. The analysis then remains general and describes what the competitor is doing—without explaining what that means for you. With a well-filled-out AI context, analyses become concrete and actionable.
The Focus Text: Without a focus, the AI generates a general overview. With a focus text like Was kommunizieren unsere Wettbewerber über KI und Automatisierung?, the report becomes targeted. Focus texts are especially helpful when you have a specific question, not just need an overview.
What the AI Can’t Do
The AI generates reports based on the updates you provide—it cannot find or research updates that are not in your inbox. If a company has published a relevant post that Picasi hasn’t retrieved yet, it won’t appear in the report.
Analyses do not contain claims about a competitor’s internal data—only about publicly available content that you’ve collected in Picasi.
Reports are not deterministic
The same input can lead to slightly different reports when generated twice. This is normal behavior for AI models. If a report is off the mark, it may be helpful to refine the focus text or set different filters and regenerate it.