Working with aidnn
When you log in, you will land on the Overview Page. This is your home screen and the easiest place to get started. The first-look section gives you:- Shortcuts to key analyses
- A simple chat interface to start asking questions
- Quick access to your data connectors
- Your saved work
Left Sidebar
The left sidebar helps you move between the main sections of the platform:-
Overview
Your home dashboard. -
Workspaces
Organize your analyses into projects or categories you can revisit anytime. -
Notebooks
All your past analyses are automatically saved here for quick access. -
Connectors
Connect QuickBooks, Snowflake, or any external data source that aidnn can use. -
Memory
aidnn stores user, organization, and session-level memory to understand your preferences, data, and business context.
Explore with aidnn (Demo Data)
The demos at the top 
These are read-only sessions designed to help you explore aidnn’s capabilities.
At the top of the page, you’ll see ready-to-use analysis cards such as:- CAC Optimization
- LTV Prediction
- Churn Reduction
- Cohort Analysis


Your prompt is displayed on the left panel so you can always see the request you made. aidnn immediately starts with the Thought Process phase. In this stage, aidnn interprets your request, reviews your available data sources, identifies what inputs are needed, and determines the best analytical approach to fulfill your request. This phase is fully transparent, allowing you to see how aidnn understands your prompt. Once the Thought Process is complete, aidnn transitions into the Plan phase. Here, it presents a clear, step-by-step outline of the actions it will take such as loading datasets, cleaning data, performing calculations, and generating charts or tables.
At this point, aidnn will ask you to either Approve the plan



- Visualization Output: A quick summary of the charts aidnn created and how the data is displayed.
- Anomalies & Unusual Patterns: Important data issues or outliers detected during the analysis.
- Additional Insights: Notable trends, distributions, or customer behaviors uncovered in the data.
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Strategic Recommendations: Actionable next steps to refine your analysis or explore deeper insights.

