LiveSynthesis by LLMGrader
Collect every student’s response. Review and synthesize during class or afterward, with optional AI assistance. See points of understanding, ideas needing clarification, and perspectives that might otherwise be missed.
A simple live cycle
LiveSynthesis turns group input into a visible, repeatable conversation loop. Review and synthesize live to guide a follow-up question, or return to the saved session after class to reflect and plan the next lesson. The synthesis can be prepared by the facilitator, assisted by AI, or refined using both.
See how the cycle supports different kinds of group work · Learn about the role of AI
Features and highlights
Everyone gets a structured opportunity to respond before the conversation is shaped by the first people who speak. Participants can revise their responses and ask questions privately.
Result: broader participation and more perspectives in view.
The synthesis identifies themes and ideas shared across the group, giving the facilitator a useful starting point for the next question or decision.
Result: shared ideas become visible sooner.
The response view and synthesis can surface minority views, edge cases, unresolved questions, and unusual ideas that might otherwise get lost in a fast-moving discussion.
Result: more nuance than a simple vote or attendance count.
A facilitator can review, edit, and share a synthesis during the session to guide a follow-up question or clarification. Instructors can also keep teaching and analyze the saved responses after class. The human chooses the timing and remains in control.
Result: technology that supports judgment instead of replacing it.
Ways to use it
Check understanding in class, gather ideas for a group decision, collect individual quiz responses, or hear what an audience took away from a presentation.
See four examples in action. Each short animation includes on-screen captions and plays without sound.
Reveal points of understanding and points needing clarification. Compare approaches, clarify misconceptions, and ask follow-up questions.
Watch animationGather ideas from everyone, preserve different perspectives, and identify common themes. Use the discussion to decide priorities and next steps.
Watch animationCollect individual answers and reasoning across subjects, including equations and code when needed. Export responses to LLMGrader for AI-assisted grading with instructor review.
Watch animationAfter a sales presentation, seminar, or other talk, ask what was useful and what still needs clarification. Collect quick responses and synthesize the feedback live or afterward to guide your follow-up.
Watch animationReview responses and synthesize live or afterward. Save session history for later reflection.
The role of AI
Reading and comparing dozens of changing responses is humanly difficult while a live discussion is moving forward. LiveSynthesis can use AI to produce a first synthesis that the human facilitator reviews and edits. Use it live to guide the next part of the conversation, or work from saved session history after class to examine understanding and plan future teaching.
The AI is not the participant, grader, or decision-maker. Questions, responses, messaging, attendance, and session history work without an LLM.
You can also copy a reviewed, anonymized session history into ChatGPT, Gemini, Claude, or an institution-approved external AI tool without configuring Ollama, an API key, or any LLM provider in LiveSynthesis. This is practical for shorter sessions and lets instructors follow required institutional workflows. For large groups or long responses, the built-in workflow is designed to handle the larger volume. The moderator reviews the text first and remains responsible for what is shared.
Explore privacy, model choices, costs, and deployment options →
User guides