Question 1

Is PromptQuorum free?

Accepted Answer

Yes. PromptQuorum is free to use. You can bring your own API key, use a local LLM, or try our limited free backend service for prompt optimization on a test basis.

Question 2

How does privacy work?

Accepted Answer

Zero telemetry, zero tracking, no data collection. API keys are stored only in your browser localStorage and never transmitted to any PromptQuorum server.

Question 3

Which AI providers are supported?

Accepted Answer

Over 25 AI providers including OpenAI, Anthropic Claude, Google Gemini, Grok, DeepSeek, Mistral, Cohere, Together AI, Groq, OpenRouter, plus all local providers like Ollama, LM Studio, Jan AI, GPT4All, and any OpenAI-compatible endpoint.

Question 4

What platforms does PromptQuorum run on?

Accepted Answer

Desktop apps (Mac, Windows via Electron), web application, and eventually mobile (iOS and Android via Capacitor). Works fully offline with a local LLM.

Question 5

What makes PromptQuorum different?

Accepted Answer

PromptQuorum covers the full prompt lifecycle in a single browser-based tool: structured writing with 9 frameworks, AI-powered iterative optimization with 8 refinement types, one-click dispatch to 25+ AI services, and 13 Quorum analysis types for consensus scoring — all without any data leaving your device.

Question 6

Are there any limits?

Accepted Answer

No limits from PromptQuorum. Your usage is only limited by your API keys or local LLM resources.

Question 7

What is prompt engineering and why does it matter?

Accepted Answer

Prompt engineering is the practice of designing inputs to AI models so they return more accurate, useful, and reliable outputs. In testing, structured prompts with framework fields produce 25–45% higher LLM evaluation scores compared to unstructured inputs. PromptQuorum automates this with 9 built-in frameworks.

Question 8

How does PromptQuorum optimize my prompts?

Accepted Answer

Your connected LLM transforms raw framework fields into a precision prompt. You then refine iteratively with 8 one-click refinements. Every step is saved in version history so you can revert anytime.

Question 9

What prompt frameworks are built into PromptQuorum?

Accepted Answer

9 frameworks: Single Prompt Line, APE, CRAFT, CO-STAR (won the Singapore GPT-4 competition), SPECS, RISEN, TRACE, Google Prompt, and RTF. You can also build 2 fully custom frameworks.

Question 10

What is the CO-STAR framework?

Accepted Answer

CO-STAR stands for Context, Objective, Style, Tone, Audience, and Response. It won the Singapore GPT-4 prompt engineering competition and is ideal for business communication and marketing.

Question 11

What is multi-model consensus and why is it valuable?

Accepted Answer

Multi-model consensus means sending the same prompt to multiple AI models and finding where they agree. When 5 independent models give the same answer, confidence is far higher than when 1 model answers alone.

Question 12

How does PromptQuorum detect AI hallucinations?

Accepted Answer

After collecting responses from multiple models in the Quorum step, your LLM runs Hallucination Detection analysis — flagging claims that appear in only one model's response or that contradict factual consensus.

Question 13

Can I use PromptQuorum with local AI models like Ollama or LM Studio?

Accepted Answer

Yes. PromptQuorum natively connects to Ollama, LM Studio, Jan AI, GPT4All, Open WebUI, KoboldCpp, vLLM, oobabooga, and any OpenAI-compatible endpoint. No API key needed for local models.

Question 14

Can I use PromptQuorum completely offline?

Accepted Answer

Yes. With a local model like Ollama or LM Studio, PromptQuorum works fully offline. No internet connection required. Your prompts, API keys, and results never leave your device.

Question 15

What is BYOM (Bring Your Own Model)?

Accepted Answer

BYOM means PromptQuorum never calls any LLM using its own API keys. Every call goes directly from your browser to your chosen provider. API keys are stored only in your browser's localStorage.

Question 16

How does the Dispatch feature work?

Accepted Answer

Dispatch sends your optimized prompt to multiple AI services in one click. For auto-dispatch services, PromptQuorum pre-loads your prompt into the URL. All tabs open in parallel — collect all responses in under a minute.

Question 17

What is the Quorum analysis and what types are available?

Accepted Answer

13 analysis types: Consensus Summary, Weighted Merge, Atomic Facts, Overlap Mapping, Contradiction Detection, Confidence Scoring, Completeness Check, Hallucination Detection, Redundancy Elimination, Best Answer Selection, Multi-Model Ensemble, Controversy Flag, Response Ranking.

Question 18

Can I export my results?

Accepted Answer

Yes. Quorum results export in 6 formats: .txt, .md, .json, .csv, .html, and .pdf. Multiple formats are bundled into a .zip archive.

Question 19

How does the Framework Wizard work?

Accepted Answer

The Framework Wizard asks you questions about your task and recommends the most suitable framework from the 9 built-in options, with a side-by-side comparison of what each would produce.

Question 20

What is Smart Temperature Adjustment?

Accepted Answer

Before each optimization, PromptQuorum suggests the ideal LLM temperature: ~0.2 for factual tasks, ~0.7 for balanced, ~0.85 for creative. After 3 consistent choices for the same intent type, it auto-applies your preference.

Question 21

Does PromptQuorum work with ChatGPT, Claude, and Gemini?

Accepted Answer

Yes. You can use ChatGPT (GPT-4, GPT-4o), Anthropic Claude (3, 3.5), and Google Gemini (1.5 Pro, Flash) as your optimization LLM by adding your API key in Settings.

Question 22

Is there a version history for my prompts?

Accepted Answer

Yes. Every optimization step and refinement is saved automatically in version history with a human-readable label. You can select any version to restore it and branch new refinements from there.

Question 23

What output formats and languages does PromptQuorum support?

Accepted Answer

LLM output language is configurable: English, German, French, Spanish, Italian, Portuguese, Chinese, and Japanese. Response length is adjustable from 100 to 2000 words.

Question 24

How does PromptQuorum handle my API keys securely?

Accepted Answer

API keys are stored only in your browser's localStorage. They are never sent to any PromptQuorum server, never logged, and never included in telemetry (there is none).

Question 25

What is Teaching Mode?

Accepted Answer

Teaching Mode adds an explanation box below every optimization result that explains exactly why each change was made — which prompt engineering principles were applied and what effect they have.

Question 26

How do I join the waitlist and what do early users get?

Accepted Answer

Enter your email in the waitlist form on the homepage. Early access users get priority onboarding, direct access to the developer, and a free power tool!

PromptQuorum FAQ: 框架、隐私、AI 模型与入门指南

PromptQuorum 是免费的吗？

隐私如何保障？

支持哪些 AI 提供商？

PromptQuorum 支持哪些平台？

PromptQuorum 有何独特之处？

有使用限制吗？

什么是提示词工程，为什么重要？

PromptQuorum 如何优化我的提示词？

PromptQuorum 内置了哪些提示词框架？

什么是 CO-STAR 框架？

什么是多模型共识，为什么有价值？

PromptQuorum 如何检测 AI 幻觉？

我可以将 PromptQuorum 与 Ollama 或 LM Studio 等本地 AI 模型一起使用吗？

我可以完全离线使用 PromptQuorum 吗？

什么是 BYOM（带来您自己的模型）？

分发（Dispatch）功能如何运作？

Quorum 分析是什么，有哪些类型？

我可以导出结果吗？

框架向导如何运作？

什么是智能温度调整？

PromptQuorum 可以与 ChatGPT、Claude 和 Gemini 一起使用吗？

我的提示词有版本历史吗？

什么是教学模式？

如何加入候补名单，早期用户能获得什么？

加入早期访问候补名单