The search-analysis workflow in academic research using Chatika can be divided into three stages:
1. Information access phase
Enter an academic question in the dialog box (e.g., "CRISPR breakthroughs published in Nature in 2023") and click the search icon to trigger a real-time search. The system will:
- Automatic crawling of authoritative sources (academic journals/preprint platforms)
- Generate information cards with links to sources
- Labeling of key data indicators (number of citations/relevant studies)
2. Intelligent analysis phase
After long-pressing on a search result and selecting "Citation," add an analytical instruction (e.g., "Compare the differences in experimental methods between these studies"). the AI will:
- Core methodology for extracting multiple documents
- Production of comparative tables (success rate/cost/ethical consideration dimensions)
- Labeling possible conflicting conclusions
3. Deep-dive phase
Enable the "Reasoning Process View" function to observe the logical chain in which the AI forms its conclusions, especially suitable:
- Validation of the objectivity of the analytical process
- Identify potential research gaps
- Get a framework for writing a literature review
It is recommended to save different analysis paths with the "Forked Dialog" function to facilitate cross-validation at a later stage.
This answer comes from the articleChatika: Free and Private AI Chat ClientThe
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