SYSTEM ARCHITECTURE

The 3+1
Judiciary Matrix

Tippy.Fun utilizes a high-fidelity multi-agent system to ensure absolute fairness and transparency in digital campaign adjudication.

securityDecentralized Logic
account_treeAudit Ready
Abstract Network visualization
Real-time Adjudication Active
ID: 0x9f...E21
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Phase 1: Three Independent Judges

psychology

Agent Alpha

Specializes in qualitative sentiment and context verification.

memory

Agent Beta

Focuses on quantitative metadata and structural compliance.

data_exploration

Agent Gamma

Cross-references historical patterns and fraud detection.

"Each judge operates within a closed-loop environment, unaware of the others' preliminary findings to prevent systemic bias."
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Final Resolution

The Arbiter

The Arbiter collects findings from all three judges. If a consensus is reached, it confirms the transaction. If conflict arises, it executes a reconciliation logic based on pre-defined weightings.

  • check_circle99.9% Consensus Rate
  • check_circleImmutable On-Chain Proof

Transparent Audit Trails

Every decision made by the system generates a cryptographic hash. Users can verify the reasoning, the evidence considered, and the specific contribution of each AI agent via our Explorer.

01
Raw Submission Hash
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02
Judge Deliberation Logs
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03
Arbitration Logic Proof
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verified_user

No Black Boxes

Traditional AI systems are often opaque. At Tippy.Fun, we believe financial infrastructure requires explainability.

Common Questions

What if the system is compromised?expand_more

Our multi-agent architecture uses distinct LLM kernels (e.g., GPT-4, Claude 3, and a proprietary specialized model). For a compromise to occur, multiple heterogeneous systems would need to fail simultaneously, providing a "Swiss Cheese" model of safety.

How long does judging take?expand_more

The entire 3+1 process typically completes in under 120 seconds, including the generation of the cryptographic audit proof.