Delegate the reading. SearchPilot gathers candidate sources, scores them, extracts the relevant passages, and drafts a summary where every sentence traces back to something you can open.
A good research assistant does three things: finds the right material, tells you which parts matter, and admits what they could not confirm.
SearchPilot is built to the same brief — with the added advantage that every judgment it makes is visible and reversible.
It converts a vague question into a searchable plan, retrieves broadly, and returns a shortlist with reasons for inclusion.
Nothing is hidden behind a single generated paragraph. Expand any claim to its source, disagree with a score, or re-run with a sharpened question.
Highlights, annotations and saved sources persist into projects, so a Tuesday question can become Friday's deliverable without re-doing the search.
What does an AI research assistant do?
It automates the mechanical parts of research — searching, screening, extracting and summarizing — while leaving interpretation and judgment to you, with citations for verification.
Is an AI research assistant accurate?
Accuracy improves sharply when the assistant is grounded in retrieved sources and cites them. Treat uncited generated text as a hypothesis and cited text as verifiable evidence.
Can it help with academic research?
Yes, particularly for scoping a field, mapping positions, and building a first pass at a literature review before you move into full-text reading.
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