3.2.4 Using AI Chat to Create Tables
AI Chat can
summarize academic data into tables. You can request a structured overview of
multiple studies using specific columns.
Example Prompt:
“Create a table
with columns for title, year, research goal, materials, methods, results, and
main findings for recent papers on machine learning in cancer biology.”
💡Best Use Tips:
Clearly define your topic and
columns
Use “summarize in table format”
Add date filters (e.g., “last 5
years”)
Related Articles
3.2.1 Getting Started with AI Chat
To begin using AI Chat: Go to the AI Chat section from the homepage Enter your research question or prompt in the chat box Receive intelligent, structured results that may include: Summaries of relevant academic articles A curated list of related ...
3.2.5 Managing AI Chat Results & Resources
Once your prompt is processed, SCiNiTO AI Chat displays structured output in two sections: 1. Answer Section Summary – A concise overview of your topic Detailed Insights – Deeper explanation of arguments, methodology, and findings Actions: Make ...
Crafting Effective AI Prompts
Be Clear and Structured: Instead of broad questions, ask targeted queries. Example: “Summarize key findings on AI in education from 2018–2023.” Use Follow-ups: Build on previous AI answers by asking for deeper insights, comparisons, or ...
3.2.7 Deep Research in AI Chat
What It Is Deep Research takes SCiNiTO’s AI Chat beyond quick summaries. Instead of a short overview, it delivers a multi-section synthesis with 100+ references, covering background, findings, limitations, gaps, and future directions. How to Use It ...
3.2.3 Best Practices for AI Chat
To get the best results: Use clear, structured queries with specific topics, years, or goals. Iterate and refine your questions as needed. Treat the AI as a collaborator, not a search engine—ask follow-ups for deeper insights.