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PROJECT 13 / 2026Product concept

Muralha.AI

Before trusting an input, make the risk visible.

AI Safety · Developer tool
MY ROLE

Concept · Product · Visual direction

CONTEXT

Independent research and prototyping

EXPLORE

Public case study of a private project.

Visual concept of the Muralha.ai governance and compliance console
Concept layers of evidence and risk isolation
MURALHA.AI / AI GOVERNANCEVISUAL CONCEPT

A trust layer that analyzes documents and text, detects signs of manipulation and returns risk, evidence and recommendations.

The challenge

LLM-based systems take in external content without a simple way to show why a given input might be dangerous.

The response

The proposal is an analysis API and interface that doesn't just return a score: it highlights evidence, describes risk vectors and recommends the next action.

01

Position the product as a proof layer, not a magic antivirus.

02

Show the evidence alongside the score so humans can audit it.

03

Design the interface as a technical conversation, with inline cards.

04

Keep detection, explanation and recommendation as three separate responsibilities.

03 / CURRENT STAGEEVIDENCE & NEXT STEPS

What exists today.

Concept

Interface + API

Proposal and visual direction; no documented commercial product.

NEXT MOVE

Define a risk taxonomy, build an evaluation dataset and test the proposal with teams running AI applications.

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KEEP EXPLORING / 01

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