Why Pro-Prompt?

Research-backed techniques

173 prompt engineering techniques across 15 categories — Chain-of-Thought, Tree-of-Thought, ReAct, MECE, Constitutional AI, red teaming, and more — applied before your LLM ever sees the input.

Runs 100% locally

No API calls to external servers, no subscription fees. Powered by free, open-source Ollama. Your data never leaves your machine.

Dual-model synthesis

Run two LLMs in parallel with split-screen streaming, then synthesize both outputs into a single unified, superior document.

Novice & power-user friendly

One-click web UI for beginners, full-featured CLI with scripting support for power users. Compiled single-icon apps for macOS, Windows, and Linux.

Prompt Engineering Techniques

173 techniques across 15 categories, including:

Directed reasoning — Chain-of-Thought, Tree-of-Thought, Graph-of-Thought, ReAct, Program-of-Thought
Cognitive decomposition — MECE, first principles, five whys, Socratic decomposition
Meta / recursive — Self-critique, self-refine, constitutional prompting
Adversarial — Red teaming, stress testing, bias hunting
Multi-perspective — Counter-arguments, cross-disciplinary analysis
Evidence & justification — Citation thresholds, uncertainty quantification
Persona & role — Expert persona, multi-persona debate, devil's advocate
Structural — Instruction decomposition, prompt chaining

See the full list on GitHub →

Quick Start

macOS / Linux:

git clone https://github.com/TFD-42/Pro-Prompt.git && cd Pro-Prompt && chmod +x install.sh && ./install.sh

Or download a compiled app — no Python required:

Latest Release ↗

Related Resources

Ollama — Open-source large language models
Chain-of-Thought Prompting — Wei et al. (2022)
Tree-of-Thoughts — Yao et al. (2023)
ReAct: Synergizing Reasoning and Acting in Language Models — Yao et al. (2022)
Constitutional AI — Self-aligning language models