PS - AI Tinkerers Dublin: Agentic Architect Hackathon with Lyzr AI
AI Tinkerers - Dublin
Hackathon Showcase

PS

Team of UCD Computer Science MSc graduates with software engineering experience at Deloitte, skilled in full-stack web development, Java, Python, and SQL databases.

2 members

Prompt Crime Scene Investigator (PCSI) is a tool that helps teams understand why an AI agent failed. As AI systems become more autonomous, problems like prompt injection, wrong tool usage, memory issues, hallucinations, and multi-agent failures become difficult to debug. Instead of just showing logs, PCSI investigates the failure like a digital detective. Users upload logs, prompt traces, error outputs, or execution files, and the system automatically runs multiple specialist agents to analyze what went wrong. One agent collects evidence and creates a timeline, another checks for prompt injection, another analyzes reasoning mistakes, and another investigates tool misuse and coordination failures. Finally, the system creates a clear Crime Scene Report showing the root cause, timeline of events, confidence score, failure heatmap, and recommended fixes. Our goal was to make AI failures easier to understand and fix through an autonomous workflow that goes beyond a single prompt.

We mainly used Lyzr Architect to build and manage the multi-agent workflow. We used MongoDB (through Lyzr Studio) to store users and investigation history. Claude Sonnet 4.6 was used to analyze failures and understand what went wrong reports while GPT-5.2 helped generate practical fixes and recommendations. We also used Architect Space to deploy the live app and GitHub for development and collaboration during the hackathon.