FAQ

Frequently asked questions

Answers about what LLM Peers is, how Free and Premium Research work, which models and research panels are available, how privacy and sharing behave, and when the board is a better fit than single-AI chat.

How it works

Product basics

LLM Peers is built for consequential decisions: multiple models research independently, peer-rank anonymized answers, and a chairman synthesizes one recommendation. It is decision support—not a replacement for professional advice or your judgment.

What is LLM Peers?

LLM Peers is a multi-agent research platform. Multiple AI models answer independently, peer-rank anonymized responses, and a chairman synthesizes one decision-ready recommendation with risks, assumptions, and next actions. Use Free Research every day, or Premium Research with wallet credits for panels and frontier models.

How is this different from ChatGPT?

ChatGPT optimizes for helpful single-model conversation. LLM Peers runs a structured deliberation: independent answers across labs, anonymous peer review, and a final decision brief for consequential choices. Many teams use both.

How is this different from Perplexity?

Perplexity is excellent for fast, source-grounded research answers. LLM Peers focuses on deliberating options across models and producing a ranked decision brief with visible agreement and dissent.

Who is LLM Peers for?

Founders, operators, product and engineering leaders, analysts, procurement teams, and professionals who need structured multi-model research before committing to a consequential choice.

Do I have to answer intake questions?

No. Intake appears when clarifying context would improve the research brief. You can answer or skip and continue into the council run.

Does LLM Peers search the web?

Yes, when web research is enabled for a Premium run. The board can gather a current briefing so deliberation is not limited to model training knowledge alone.

Can I attach my own files and links?

Yes on Premium Research. My sources lets you upload PDFs, Word, PowerPoint, Excel, text, images, or paste public URLs. When status is Ready, attach them to a run so the council shares a private, citable briefing. Free Research cannot attach My sources.

What is a decision brief?

The chairman synthesis at the end of a run: a clear recommendation, ranked options, agreement and dissent, key assumptions, risks, and a practical next action you can take or challenge.

What happens during peer ranking?

Council answers are anonymized and evaluated against shared criteria so review focuses on substance rather than which model wrote which answer. Rankings then inform the final synthesis.

Is my research private?

Research in your account stays private unless you explicitly publish a public share link. See the Privacy Policy for details on account data, subprocessors, and retention.

Can I share results with my team?

Yes. After a completed run you can publish a public research page so others can read the question and decision brief through a share URL. Only publish content you are comfortable making public.

Can public shares be indexed by search engines?

Published share pages may be accessible to anyone with the URL and may be indexed. Unpublish or avoid sharing sensitive material you do not want public.

Does this replace professional advice?

No. LLM Peers supports judgment. It does not replace licensed legal, medical, financial, or regulatory advice where qualified expertise is required.

How long does a run take?

Timing varies with intake, web research, model load, Premium depth, and question complexity. Runs are progressive: you can watch stages complete, leave the page, and be emailed when research is ready.

Who builds LLM Peers?

LLM Peers is built by Version Labs. Contact contact@versionlabs.co for support, privacy requests, or partnership inquiries.

Free Research, Premium Research, and pricing

LLM Peers does not sell Free / Pro / Max subscriptions. Free Research is ongoing; Premium Research is prepaid wallet credits charged as model usage plus a platform fee.

Is there a monthly subscription?

No. There is no Free / Pro / Max plan ladder. Use Free Research on an ongoing cadence, and add wallet credits only when you need Premium Research.

How does Free Research work?

New accounts receive welcome Free Researches, then one Free Research every 24 hours (non-stacking). Free runs use an efficient multi-lab model lineup with the full deliberation stages.

How does Premium Research work?

Add wallet credits, choose a research panel or customize peers and chairman, pick research depth, and run. You pay actual model usage plus the LLM Peers platform fee (default 12%). On completed Premium runs you can optionally Summarize or create an Infographic of the decision brief—charged at actual chairman model usage with no platform fee (requires at least $1 wallet balance).

What is a research panel?

A curated Premium starting lineup: peer count, depth, and capability mix matched to industries, roles, and decision modes—healthcare, manufacturing, retail, finance, career, adversarial review, and more. You can customize after selecting a panel.

What models are used?

Free Research uses efficient models such as Gemma, DeepSeek V4 Flash, and Qwen3. Premium Research unlocks advanced and frontier models from Anthropic, OpenAI, Google, DeepSeek, Moonshot, Z.ai, and others. See Features → Models or the homepage Models section for the visual catalog.

What does the platform fee cover?

Multi-model orchestration, independent responses, peer review, ranking, chairman synthesis, report generation, billing, and platform operations—on top of the underlying model usage charge.

What is the minimum credit purchase?

Wallet recharges typically start at $10, with presets such as $10, $25, $50, and $100. Credits are prepaid and used for Premium Research.

When to use the board

Use LLM Peers when trade-offs are real and a chat transcript is not enough of a handoff. Use a general assistant when you need speed for drafting, coding help, or low-stakes exploration.

  • Strategy, pricing, and go-to-market choices
  • Build vs buy vs partner decisions
  • Vendor shortlists and procurement trade-offs
  • Roadmap prioritization with stakeholder conflict
  • Diligence-style go/no-go questions

Ready to run LLM Peers?

Ask one difficult question. Get competing views, peer ranking, and one clear recommendation.