Proposal Generation & Filtering

How Proposal Generation Works

Proposals can be submitted through the Quack AI Governance Console or pushed via API integrations from external platforms. They may be initiated by:

• Human participants

• Partner applications

• AI agents responding to triggers such as NAV changes, redemption queue shifts, or stale PoR data

Each proposal follows a standardized schema to allow Quack AI agents to efficiently evaluate and route proposals through the lifecycle.

Filtering and Pre-Screening

Before reaching stakeholders or agents, all proposals pass through Quack AI’s intelligent pre-screening layer. This includes:

• Clarity and Structure Checks to ensure the proposal is properly formatted and actionable

• Feasibility and Relevance Assessment to determine if the proposal is sound and timely

• Spam and Redundancy Detection to identify malicious or duplicate submissions

• Compliance Filtering for KYC, jurisdictional rules, and access permissions when required

Only proposals that pass this stage move forward to scoring and prioritization.

Scoring and Prioritization

Optimization and Publishing

The Outcome: Signal Over Noise

By automating proposal intake, filtering, scoring, and publishing, Quack AI ensures that governance participants only see what matters.

This eliminates

• Proposal spam

• Manual review fatigue

• Delayed execution

And increases:

• Proposal quality

• Timely decision-making

• Scalable coordination

• Regulatory readiness