User Guide

Getting Started

ModelCouncil is a multi-model AI decision tool that helps executives and founders make better decisions by querying Claude, GPT, Gemini, and Grok simultaneously against your project documents.

Projects & Documents

Projects are decision contexts — containers for documents and queries related to a specific decision or topic. Each project has its own set of documents that provide context to the AI models.

Supported File Types

Limits

• 10 MB maximum per file
• 20 files maximum per project
• 100,000 tokens maximum context per project

Making Queries

The Query tab lets you ask questions against your uploaded documents. Multiple AI models analyze your question and documents, then their responses are synthesized into a Decision Board.

Model Selection

Choose 2-3 models for each query. Different models have different strengths:

Decision Helper

When you ask a decision-type question (e.g., "Should we...", "Which option..."), the Decision Helper appears to help you provide structured context:

• Options being considered
• Constraints (budget, timeline, resources)
• Success criteria
• Decision timeframe

Follow-up Queries

After receiving a Decision Board, you can ask follow-up questions to dig deeper. Follow-ups include context from the previous query and recommendation.

Understanding the Decision Board

The Decision Board synthesizes all model responses into a structured output that helps you make informed decisions.

Model Response Tabs

Click on model tabs to see the full reasoning from each AI. This helps you understand where different perspectives come from.

Exporting Results

Export your Decision Board to PDF, Excel, Word, or PowerPoint for sharing with stakeholders or archiving.

Decision Threads

Decision Threads group related queries into organized workflows. Unlike the Query tab, threads use intelligent context that stays manageable no matter how many queries you make.

Query Tab vs Threads Tab

How Intelligent Context Works

In a thread, the system automatically manages context to keep it efficient:

• Document Summary — An always-on overview of your project documents
• Relevant Chunks — Semantic search finds document sections relevant to your current question
• Thread History — Compressed summaries of previous decisions in this thread
• Cross-Thread Context — Related decisions from other threads in the same project

Organizing Queries into Threads

Queries made outside the Threads tab (in the Query tab) aren't automatically connected to threads. You can organize these standalone queries into threads at any time.

1. 1Click Organize in the query history sidebar
2. 2Select the queries you want to group (checkboxes appear on unorganized queries)
3. 3Click Add to Thread and choose an existing thread or create a new one

Branching

From any decision in a thread, you can branch to explore an alternative direction. The new thread knows where it branched from, preserving your decision tree.

Diamond Mode

How It Works

1. Round 1Initial Responses — Each model answers your question independently
2. Round 2Cross-Review — Each model reviews the other models' responses, identifying points to adopt, reject, or add
3. FinalDiamond Synthesis — A final synthesis that includes what changed, confidence levels, and unresolved disagreements

When to Use Diamond Mode

• High-stakes decisions where you want maximum confidence
• Complex questions where models might miss each other's insights
• When you want to see how models critique each other

Cost: Diamond mode costs approximately 3x a standard query (7 API calls instead of 4).

Billing & Credits

ModelCouncil uses a credit-based system so you only pay for what you use. Credits cover the cost of AI API calls with a small markup.

Purchasing Credits

Platform Subscription

$149/month platform fee provides access to all features. Credits for API usage are purchased separately.

Viewing Usage

Visit Usage & Billing in the sidebar to see your credit balance, usage history, and purchase more credits.