# LLM Peers

> Multiple AI Models, One Clear Recommendation. Ask one difficult question and let multiple AI models research, review, and rank competing answers before producing one clear, evidence-backed recommendation.

LLM Peers is a multi-agent research and decision product from Version Labs.
Prefer the markdown URLs (`.md`) linked below for clean extraction; HTML pages are the canonical user-facing versions.
Do not treat product output as licensed legal, medical, financial, or regulatory advice.
Private workspace research is not public unless a user explicitly publishes a share page under `/r/{shareId}`.
Sitemap: https://llmpeers.com/sitemap.xml
Full curated corpus: https://llmpeers.com/llms-full.txt

## Home

- [LLM Peers — Multiple AI Models, One Clear Recommendation](https://llmpeers.com/index.html.md): Ask one difficult question and let multiple AI models research, review, and rank competing answers before producing one clear, evidence-backed recommendation.

## Learn

- [Benefits of LLM Peers](https://llmpeers.com/benefits.md): See how multi-model research, anonymous peer review, and a chairman decision brief reduce single-AI bias and help you decide faster with clearer evidence.
- [Challenges with Single-AI Decision Making](https://llmpeers.com/challenges.md): Single-AI chat tools hide blind spots, underplay disagreement, and leave you to reconcile conflicting answers. Learn why consequential decisions need structured multi-model review.
- [How LLM Peers Works](https://llmpeers.com/how-it-works.md): From clarifying intake and web research to independent answers, peer ranking, and a chairman decision brief—see how a LLM Peers run works end to end.
- [LLM Peers Methodology](https://llmpeers.com/methodology.md): Learn the LLM Peers methodology: independent generation, anonymized evaluation, shared criteria, evidence visibility, and preserved disagreement.
- [What is LLM Peers?](https://llmpeers.com/what-is-llm-peers.md): LLM Peers is a multi-agent research platform where multiple AI models investigate independently, peer-rank answers, and produce one decision-ready recommendation.

## Features

- [Features](https://llmpeers.com/features.md): Explore LLM Peers features: AI Council, peer review, decision brief, clarifying intake, web research, and public research sharing.
- [AI Council — Multi-Model Answers](https://llmpeers.com/features/ai-council.md): LLM Peers’s AI Council runs multiple models in parallel so you get independent recommendations, risks, and assumptions—not one chat reply.
- [Chairman Decision Brief](https://llmpeers.com/features/decision-brief.md): The LLM Peers chairman synthesizes peer rankings into one decision brief: recommendation, ranked options, risks, assumptions, and next action.
- [Clarifying Intake Questions](https://llmpeers.com/features/intake.md): LLM Peers’s optional intake step asks clarifying questions so goals, constraints, and success criteria are clear before multi-model research begins.
- [Anonymous Peer Review & Ranking](https://llmpeers.com/features/peer-review.md): LLM Peers anonymizes model answers and peer-ranks them against shared criteria so review focuses on substance, not brand preference.
- [Share & Publish Research](https://llmpeers.com/features/public-sharing.md): Publish a LLM Peers case to a public link so teammates can read the question, deliberation, and decision brief without re-running the board.
- [Live Web Research](https://llmpeers.com/features/web-research.md): LLM Peers can gather a live web research briefing so multi-model deliberation is grounded in current sources—not only model training data.

## Use cases

- [Use Cases](https://llmpeers.com/use-cases.md): Explore LLM Peers use cases for leadership, strategy, product, sales, finance, procurement, consultants, and career decisions.
- [AI for Career & Professional Decisions](https://llmpeers.com/use-cases/career.md): Use LLM Peers for consequential career choices: offer comparison, career transitions, education decisions, tool selection, and complex personal trade-offs.
- [AI for Consultants & Researchers](https://llmpeers.com/use-cases/consultants.md): Consultants and analysts use LLM Peers for industry briefs, client prep, hypothesis testing, source synthesis, policy analysis, and red-team recommendation review.
- [AI for Finance & Investment Research](https://llmpeers.com/use-cases/finance.md): Support finance and investment research with multi-model deliberation: diligence questions, capital allocation, funding routes, business-model review, and risk maps.
- [AI for Leadership & Executive Decisions](https://llmpeers.com/use-cases/leadership.md): Use LLM Peers for leadership decisions: priorities, growth vs margin, market entry, continue-or-stop calls, and build-buy-partner choices.
- [AI for Procurement & Vendor Decisions](https://llmpeers.com/use-cases/procurement.md): Evaluate vendors and partnerships with LLM Peers: scorecards, claim verification, RFP questions, partnership go/no-go, and proof-of-concept design.
- [AI for Product & Technology Decisions](https://llmpeers.com/use-cases/product.md): Support product and technology decisions with LLM Peers: build vs buy, stack selection, roadmap prioritization, AI architecture, and design risk review.
- [AI for Sales & Marketing Decisions](https://llmpeers.com/use-cases/sales.md): Use LLM Peers for GTM decisions: positioning, ICP selection, pricing packages, channel strategy, campaign review, and customer research synthesis.
- [AI for Strategy & Operations Decisions](https://llmpeers.com/use-cases/strategy.md): Run multi-model research for strategy and operations: competitive intelligence, operating models, transformation, scenario planning, and process redesign.

## Compare & category

- [AI Decision-Making Platform](https://llmpeers.com/ai-decision-making.md): LLM Peers is an AI decision-making platform that turns difficult questions into multi-model research, peer-ranked options, and one clear recommendation with risks and next actions.
- [LLM Peers vs ChatGPT](https://llmpeers.com/compare/chatgpt.md): Compare LLM Peers and ChatGPT for consequential decisions: multi-model deliberation, anonymized peer ranking, and decision briefs versus single-model chat assistance.
- [LLM Peers vs Perplexity](https://llmpeers.com/compare/perplexity.md): Compare LLM Peers and Perplexity: source-grounded research answers versus multi-model deliberation that produces a ranked decision brief with visible agreement and dissent.
- [Multi-Agent AI vs Single AI](https://llmpeers.com/multi-agent-vs-single-ai.md): Understand multi-agent AI vs single-AI chat for decision making: independent generation, peer review, and synthesis versus one-model answers—and when each approach fits.

## Company

- [About LLM Peers](https://llmpeers.com/about.md): LLM Peers is built by Version Labs to help people make consequential decisions with multi-model research, anonymized peer review, and a clear recommendation brief.
- [FAQ](https://llmpeers.com/faq.md): Frequently asked questions about LLM Peers: multi-model deliberation, intake, web research, privacy, sharing, decision briefs, costs, and when to use the board.

## Optional

- [Contact](https://llmpeers.com/contact.md): Contact LLM Peers and Version Labs for product questions, privacy requests, partnerships, press, and support.
- [Privacy Policy](https://llmpeers.com/privacy.md): Privacy Policy for LLM Peers by Version Labs: what data we collect, how research is stored, public sharing, subprocessors, retention, and how to contact us.
- [Terms of Service](https://llmpeers.com/terms.md): Terms of Service for LLM Peers by Version Labs: accounts, acceptable use, AI output limitations, public shares, intellectual property, liability, and contact information.

## Discovery

- [Sitemap](https://llmpeers.com/sitemap.xml): Complete HTML URL inventory for crawlers
- [Robots](https://llmpeers.com/robots.txt): Crawl allow/disallow rules
- [llms-full.txt](https://llmpeers.com/llms-full.txt): Concatenated markdown corpus of public education pages
- [Privacy Policy](https://llmpeers.com/privacy.md): Data handling overview
- [Terms of Service](https://llmpeers.com/terms.md): Acceptable use and AI output limitations