Agentic Reasoning Lab

Open-source lab exploring multi-agent reasoning, contextual orchestration, and model reliability.

Overview

This repository demonstrates how AI Product Managers can go beyond writing PRDs — actually building reasoning-driven systems. It includes:

• Multi-Agent Orchestration: agents that collaborate across planning, retrieval, and evaluation.
• Retrieval-Augmented Reasoning (RAG): grounding responses in context to improve reliability.
• Evaluation Framework: mock accuracy and hallucination metrics to simulate model trustworthiness.

All examples are runnable locally — no cloud credentials required.

Quick Start

git clone https://github.com/iltutishrak/agentic-reasoning-lab.git
cd agentic-reasoning-lab
python examples/multi_agent_orchestration.py
python examples/rag_pipeline_template.py
python examples/eval_loop_demo.py

Author

Ishrak Iltut
Senior Technical Product Manager – AWS Applied AI
Focused on agentic AI, reasoning reliability, and human-in-the-loop safety.

LinkedIn: linkedin.com/in/iltutishrak