AI Research Playbook

Extracting Rigorous Reasoning from LLMs

AI Research Playbook Illustration

Project Overview

The AI Research Playbook is an interactive educational tool that demonstrates how to move beyond simple chat interactions with AI. It implements five specific "Laboratory Techniques" designed to force Large Language Models (LLMs) to engage in deeper, more rigorous reasoning.

Instead of treating the AI as a search engine, this tool treats it as a reasoning engine, capable of breaking down complex logic, cross-pollinating ideas from different fields, and even stress-testing its own arguments.

Launch the Tool

The Intuition: Why "Prompt Engineering" Isn't Enough

Most students use AI by asking a question and accepting the answer. This is the "oracle" model of AI use, and it often leads to shallow or hallucinations-prone results.

This playbook is based on the idea that reasoning is a process, not an output. To get good research, you must force the model to show its work, check its own logic, and adopt critical perspectives. This app operationalizes recent research on "Chain of Thought" and "Self-Correction" into a simple push-button interface.

The 5 Techniques

The app allows you to toggle between five distinct reasoning modes:

  • 1. Break It Down (Iterative): Forces the model to verify each step of a logical argument before moving to the next.
  • 2. Mix & Match (Cross-Pollination): Uses analogies from unrelated fields (e.g., Biology) to solve Political Science problems.
  • 3. Fact-Check (Simulation): Asks the AI to write Python code to empirically test a claim, using code execution as a "lie detector."
  • 4. Logic Loop (Neuro-Symbolic): Combines broad intuition with strict logical proofs.
  • 5. Reviewer 2 (Adversarial): Simulates a harsh academic critic to find holes in your argument.

Usage Instructions

  1. Launch the App: Click the button above to open the Hugging Face Space.
  2. Select a Technique: Click on one of the 5 cards (e.g., "Break It Down" or "Reviewer 2").
  3. Enter your content: Paste a draft of your argument or a research question.
  4. Run Analysis: See how the specific technique changes the quality and depth of the AI's feedback.