What is multi-model AI dispatch?

Multi-model dispatch means sending one prompt simultaneously to 25+ AI models — such as GPT-4o, Claude, and Gemini — in a single click. PromptQuorum pre-loads your prompt into each destination via URL, opening all browser tabs in parallel so you can collect responses in under a minute.

What is Quorum analysis?

Quorum analysis is the structured comparison of responses from multiple AI models to identify consensus, contradictions, and confidence levels. PromptQuorum offers 13 analysis types including Hallucination Detection, Contradiction Detection, Best Answer Selection, Consensus Summary, and Weighted Merge.

How many AI models does PromptQuorum support?

PromptQuorum supports 25+ cloud AI services including OpenAI (GPT-4o, o1), Anthropic Claude, Google Gemini, xAI Grok, DeepSeek, Mistral, Cohere, and more via OpenRouter. It also supports local LLMs via Ollama, LM Studio, Jan AI, and any OpenAI-compatible endpoint — with full offline capability.

Is PromptQuorum free to use?

Yes. PromptQuorum is free. You bring your own API keys (BYOM) — your keys connect directly from your browser to your chosen AI providers. No account is required, no subscription needed, and no PromptQuorum server ever handles your API keys or prompts.

What prompt engineering frameworks does PromptQuorum include?

PromptQuorum includes 9 built-in frameworks: CO-STAR (winner of the Singapore GPT-4 competition), CRAFT, RISEN, TRACE, APE, SPECS, Google Prompt, RTF, and Single Prompt Line — plus 2 fully custom framework slots. A Framework Wizard helps you choose the right one for your task.

How does hallucination detection work in PromptQuorum?

PromptQuorum's Hallucination Detection analysis sends all collected model responses to your connected LLM, which identifies factual claims that appear in only one or a minority of responses. When 5+ independent models disagree on a specific claim, it is flagged as a potential hallucination for your review.

How PromptQuorum Works

A 4-stage workflow: write a structured prompt using one of 9 frameworks, optimize it with your own LLM, dispatch simultaneously to 25+ AI services, then analyze all responses using 13 consensus analysis types.

Runs entirely in your browser — no PromptQuorum server ever sees your prompts or API keys

Write/prompt

Structure Your Prompt

Prompts structured with frameworks produce higher quality outputs. PromptQuorum includes 9 built-in frameworks (Single Prompt Line, CRAFT, CO-STAR, RISEN, TRACE, APE, SPECS, Google Prompt, RTF) plus 2 fully custom framework slots.

✓Single Prompt Line — minimal structure for quick tasks
✓CRAFT — Context, Role, Action, Format, Target (creative writing)
✓CO-STAR — Context, Objective, Style, Tone, Audience, Response (marketing, business)
✓RISEN — Role, Instructions, Steps, End Goal, Narrowing (sequential enterprise tasks)
✓TRACE — Task, Request, Action, Context, Example (few-shot learning)
✓APE, SPECS, Google Prompt, RTF — optimized for specific task types

A Framework Wizard recommends the best framework based on your task type.

Optimize/optimize

Refine with Your Own LLM

Prompt quality improves measurably with optimization — structured prompts score 25–45% higher in LLM evaluation. PromptQuorum applies 8 refinement types (Make Concise, Expand Detail, Break Into Steps, Increase Specificity, Simplify, Add Quality Controls, Multi-Expert Consultation, Compress to Essence) plus smart temperature detection.

✓Quality Assessment — 0-100% scoring on clarity, specificity, structure, and constraints
✓Smart Temperature — recommends optimal creativity level (0.0-1.0) based on task type
✓Version History — every refinement saved; branch and compare refinement paths
✓Teaching Mode — explains why each change improves quality and clarity
✓8 One-Click Refinements — apply structured transformations instantly
✓Custom Instruction — free-text refinement using your own LLM

Your LLM. Your API key. Nothing passes through PromptQuorum servers.

Dispatch/dispatch

Send to 25+ AI Services

Sending the same prompt to multiple AI models reveals which model performs best for your task. PromptQuorum opens parallel browser tabs to 25+ destinations with zero copy-pasting required.

✓Auto-dispatch (17 services): OpenAI ChatGPT, Google Gemini, Anthropic Claude, Perplexity, xAI Grok, DeepSeek, Mistral, Cohere, Azure, Together, Groq, and more
✓Copy-paste (8 services): Qwen, Meta AI, Poe, Kimi, LM Studio, Jan AI, GPT4All, and others
✓Perplexity auto-submits — prompt sent immediately on arrival
✓2 custom URL slots — configure any AI service not on the default list
✓Optional pre-dispatch refinement — final LLM enhancement before sending
✓Parallel execution — all tabs open simultaneously; collect responses in under 1 minute

All browser tabs open in parallel. No manual copy-pasting between tabs.

Quorum/quorum

Find Consensus Across All Models

When 5+ independent models agree on an answer, confidence is higher than with a single model. Paste all responses back into PromptQuorum and apply 13 consensus analysis types.

✓Consensus Summary — identifies shared themes and unanimous agreements
✓Contradiction Detection — flags where models diverge; identifies minority opinions
✓Hallucination Detection — identifies claims appearing in few models; potential false facts
✓Confidence Scoring — certainty level per model and per claim
✓Best Answer Selection — selects the highest-quality individual response
✓Weighted Merge — synthesizes a hybrid response using best elements from all models

When 5+ independent models converge on the same answer, hallucination risk is lower than with a single model.

9 Built-in Prompt Frameworks

Structured prompts using frameworks produce measurably better outputs than unstructured requests. Each framework organizes input differently for specific task types. A Framework Wizard recommends the best fit, or build 2 custom frameworks.

Framework	Structure	Optimal For
Single Prompt Line	—	Quick, ad-hoc queries without structure
APE	Action · Purpose · Expectation	3-field minimal structure; simple tasks
CRAFT	Context · Role · Action · Format · Target	Creative writing; general-purpose tasks
CO-STAR	Context · Objective · Style · Tone · Audience · Response	Marketing copy; business communication
SPECS	Situation · Purpose · Expected Output · Context · Style	Analysis; research; technical writing
RISEN	Role · Instructions · Steps · End Goal · Narrowing	Multi-step enterprise workflows
TRACE	Task · Request · Action · Context · Example	Few-shot learning; example-based tasks
Google Prompt	Task · Context · Persona	Professional tasks; role-based prompts
RTF	Role · Task · Format	Minimal structure; 3 core fields only

13 Quorum Analysis Types

Apply 2 or all 13 analyses to responses from multiple models. Each analysis is executed by your connected LLM, not PromptQuorum servers. Identify consensus, contradictions, hallucinations, and confidence levels across all model outputs.

Synthesis (3)

→Consensus Summary — shared themes across all models
→Weighted Merge — hybrid answer combining best from each model
→Atomic Facts Extraction — break all claims into discrete facts; count model agreement

Comparison (3)

→Overlap Mapping — identify which models produced identical outputs
→Contradiction Detection — flag claims where models diverge; identify disagreements
→Confidence Scoring — measure certainty level per model and per claim

Quality (3)

→Completeness Check — verify all required information is present
→Hallucination Detection — identify claims appearing in few models; potential false facts
→Redundancy Elimination — remove duplicate or near-duplicate claims

Selection (4)

→Best Answer Selection — pick the single highest-quality response
→Multi-Model Ensemble — combine outputs using model reliability weighting
→Controversy Flag — highlight claims where model agreement is weak
→Custom Analysis — user-defined analysis template

Export results in 6 formats

.txt.md.json.csv.html.pdf

Multiple formats → downloaded as a .zip archive. File System Access API for folder selection (Chrome/Edge/Safari 16+).

Key Concepts

Multi-Model Dispatch: Sending one prompt simultaneously to 25+ AI models in a single click. PromptQuorum pre-loads your prompt into each destination via URL — no copy-pasting, all tabs open in parallel.
Quorum Analysis: Structured comparison of responses from multiple AI models to identify consensus, contradictions, and confidence levels. PromptQuorum offers 13 analysis types including Hallucination Detection and Best Answer Selection.
Consensus Scoring: A confidence rating derived from the degree of agreement across multiple model responses. Higher consensus = higher reliability. Lower consensus flags areas of uncertainty or potential hallucination.
Hallucination Detection: Identifying factual claims that appear in only one or a minority of model responses, indicating potential AI fabrication. Cross-referencing 5+ independent models dramatically reduces the rate of undetected hallucinations.
BYOM — Bring Your Own Model: Connecting your own API keys directly to AI providers. Keys are stored only in your browser's localStorage and connect directly to providers — no PromptQuorum server ever receives or transmits your credentials.

Bring Your Own Model (BYOM) — No PromptQuorum Infrastructure

PromptQuorum does not host or execute any LLM models. Every API call goes directly from your browser to your chosen provider. Your API keys stay in browser localStorage and are never transmitted to PromptQuorum servers.

Cloud APIs (bring your own API key)

OpenAI (GPT-4, GPT-4o)
Anthropic (Claude 3.5)
Google Gemini 1.5
Grok (xAI)
DeepSeek
Mistral
Cohere
Together AI
Groq
OpenRouter (free tier)

Local models (no API key needed; runs on your machine)

Ollama (localhost:11434)
LM Studio (localhost:1234)
Jan AI (localhost:1337)
GPT4All (localhost:4891)
Open WebUI
KoboldCpp
vLLM
oobabooga
Any OpenAI-compatible endpoint

✓

No telemetry

No analytics, tracking, logging, or data collection. Not even anonymous usage statistics or session timing.

✓

No registration

Zero signup required. No email, no account, no login. Open the app; start immediately.

✓

Offline-capable

Desktop app (Electron) and mobile app (Capacitor) support full offline operation with local models via Ollama, LM Studio, Jan AI, or compatible endpoints.

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