Aletheia - AI Business Investigation System

Aletheia is an AI-powered business investigation system that turns business questions into structured, evidence-backed investigations.

Rather than functioning as a conventional chatbot, the system plans an investigation, calls relevant data tools, gathers evidence, validates findings, and produces a final conclusion with confidence and supporting evidence.

I developed the system across both the product interface and investigation architecture, including planner/tool orchestration, runtime validation, evidence verification, failure handling, testing, and deployment.

A major focus of the project was improving the reliability of agentic AI behavior. This included handling malformed model outputs, preventing duplicate tool execution, managing investigation prerequisites, controlling runtime limits, validating structured responses, and building regression tests for previously observed failures.
The frontend presents investigations through a structured workspace where users can review the investigation overview, supporting evidence, conclusions, confidence, and execution state.
Key technologies: React, TypeScript, Node.js, Zod, Vitest, LLM APIs, structured tool calling, and Render.

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