The hardest part of AI-assisted research is not getting an answer. It is knowing whether the answer is grounded, complete, and traceable to the material you are responsible for.
A source-grounded workflow
1. Define the research boundary
Create a library for one paper review, product question, market mandate, or course. Add the sources that are allowed to support the answer.
2. Ask a question that can be checked
Ask for a claim, comparison, or decision instead of a broad summary: compare two methods, identify supporting passages, surface conflicts, or list what is missing before a decision.
3. Require evidence and uncertainty
A useful answer should distinguish source-backed facts, interpretations, conflicts, and open questions. Every important claim should lead back to the relevant passage.
4. Turn the answer into a deliverable
Use the same library to produce a literature review section, comparison table, executive brief, research presentation, decision memo, or follow-up research plan. The source set remains reusable, so the next question starts with the same context.
Where Mindar fits
Mindar Agent works inside persistent knowledge libraries, answers with citations, supports reusable research skills, and sends selected sources to Content Factory. AI View adds a visual layer for relationships, clusters, and gaps.
The assistant becomes part of the research workflow rather than a separate chat window that forgets the evidence after one answer.