> For the complete documentation index, see [llms.txt](https://quackai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://quackai.gitbook.io/docs/governance-intelligence/gap.md).

# Proposal Generation & Filtering

Traditional governance relies on static forum discussions, long documents, and subjective interpretation.\
Quack AI replaces this friction with an AI-powered Proposal Engine that can read structured or unstructured data, extract relevant information, and generate actionable proposals.

The system acts as both a governance assistant and a context engine, ensuring proposals are not only valid but also measurable, compliant, and ready for execution.

### **Core Capabilities**

> #### **Data Parsing**
>
> Processes disclosures, transaction logs, and real-world triggers.\
> **Outcome:** Converts unstructured input into on-chain parameters.

> #### **Contextual Summary**
>
> AI models summarize the proposal’s objective and impact.\
> **Outcome:** Reduces noise and focuses voter attention.

> #### **Auto-Classification**
>
> Assigns proposal types such as funding, upgrades, compliance actions, and RWA operations.\
> **Outcome:** Streamlines workflow and execution routing.

> #### **Relevance Filtering**
>
> Filters spam or low-signal proposals using trust scores.\
> **Outcome:** Keeps governance clean and efficient.

> #### **AI Drafting Assistant**
>
> Suggests structured text, reasoning, and formatting for proposals.\
> **Outcome:** Standardizes proposals and improves comprehension.

### **Capability Table**

| Feature               | Description                                         | Outcome                              |
| --------------------- | --------------------------------------------------- | ------------------------------------ |
| Data Parsing          | Processes logs, disclosures, and real-world signals | Converts raw input into parameters   |
| Contextual Summary    | Summarizes objectives and impact                    | Reduces noise                        |
| Auto-Classification   | Assigns proposal categories                         | Streamlined routing                  |
| Relevance Filtering   | Filters weak proposals                              | Clean governance                     |
| AI Drafting Assistant | Suggests structured drafts                          | Better reasoning and standardization |

### **How It Works**

1. **Trigger**\
   A governance event is initiated by a user, agent, or on-chain condition (for example, NAV threshold crossed or parameter update request).
2. **AI Parsing**\
   The Proposal Engine scans data sources and formats the input into structured templates.
3. **Classification**\
   Proposals are categorized by type and urgency using predefined categories.
4. **Validation**\
   The engine runs compliance checks against the Policy Engine before submission.
5. **Publication**\
   The final draft is displayed for review or automated delegation.

### **Benefits**

* Drastically reduces time between idea and actionable proposal.
* Removes subjective interpretation and forces standardization.
* Makes governance accessible for institutions unfamiliar with Web3 norms.
* Ensures every proposal is contextually scored before it reaches voters.

Governance starts with clarity. The Proposal Engine ensures that from the first step, decisions are precise, compliant, machine-readable, and ready for execution.