Product
How it works
LLM Council turns a hard question into a staged deliberation: bring context, enrich it, let independent models work, then synthesize the strongest answer.
Input
Bring your data: documents, PDFs, Word files, slides, screenshots, diagrams, images, or a plain-language question of any complexity.
LLM Council treats the selected material as working context, not background decoration. The goal is to reason over the right material instead of forcing the user to paste everything into a chat box.
- Documents: PDF, Word, Slides
- Images: screenshots and diagrams
- Questions: any complexity
Enrich
Before answering, LLM Council detects intent, decides whether research is needed, and adds real-time context when the question depends on fresh evidence.
LLM Council keeps that research-and-context principle and adds library context, source selection, and traceable work steps.
- Intent detection: understands the need
- Web search: real-time data when needed
- Deep research: context analysis before synthesis
Process
Council deliberation is the core method: several leading models work independently first, then review each other, then a chairman synthesis turns the strongest position and useful dissent into one answer.
- Stage 1: independent model answers
- Stage 2: anonymous peer review and ranking
- Stage 3: final synthesis with consensus, dissent, and caveats preserved
Output
The user receives a ranked, synthesized answer rather than a single-model response. For document tasks, LLM Council can turn the work into export-ready Word, PDF, PowerPoint, or spreadsheet artifacts.
- Ranked answers
- Confidence and disagreement signals
- Export-ready deliverables when requested