Prompt Boost

Optimize your prompts with Claude AI

Un desarrollo experimental de Pixan.ai 🚀

Input Configuration

0 characters
PreciseBalancedCreative

Progress

1
Validate inputs
2
Send to Gemini
3
Gemini optimization
4
Send to Claude
5
Claude feedback
6
Return to Gemini
7
Gemini refinement
8
Claude final review
9
Claude optimization
10
Calculate metrics
AI Terminal - Pixan.ai

How does Prompt Boost work?

The power of collaborative AI 🔥

Prompt Boost is a collaborative AI-to-AI orchestrator where two of the most advanced models on the planet work together to perfect your prompt in real time

The Magical Workflow (Step by Step)

1

🎯 Your Input + Context

Capture your prompt and give it context with specific metadata: target LLM, industry, creativity temperature. This gives our algorithms the necessary framework for optimization.

2

🧠 Gemini takes the first step

Your prompt is first sent to Gemini 2.5 Flash. Gemini analyzes the structure, identifies specificity gaps, and proposes the first optimization iteration using its massive training dataset.

3

🔍 Claude enters action

Claude AI (Anthropic) receives Gemini's suggestion and passes it through its validation & feedback system. Claude identifies if Gemini's suggestion is solid or needs refinement.

4

AI-to-AI Iteration

Based on Claude's feedback, Gemini generates a more refined second iteration. It's literally like watching two AIs doing pair programming for your prompt.

5

Claude's final touch

Claude takes Gemini's second version and passes it through its anti-hallucination engine and cross-LLM compatibility optimizer. The result: a prompt that is not only clearer, but works optimally on different AI models.

Real-time processing

This entire workflow happens in real-time streaming. You can literally see how the two AIs converse with each other in our terminal - it's like being a silent witness while two neural networks collaborate.

Machine Learning Metrics that Matter

At the end of the process, our algorithms calculate advanced metrics:

Clarity Score

Analysis of specificity and semantic structure

Effectiveness Rating

Based on prompt engineering best practices

Cross-Model Compatibility

How well it works on different LLMs

Anti-Hallucination Index

Reduction in probability of inconsistent responses

Why is our approach revolutionary?

Individual AI Limitation

A single model has its inherent biases and limitations.

🤝 AI-to-AI Collaboration

Two different models (Gemini's massive scale + Claude's safety approach) complement each other to eliminate mutual weaknesses.

🎯 Zero-Shot to Few-Shot Update

Your basic prompt becomes a designed masterpiece that gives more consistent and precise results.

🔒 Security & privacy by design

Your API keys are handled session-only (no persistence). Prompts are processed in-memory without logging. It's like having a private workspace where you can experiment without worrying about data leakage.

The conclusion

Prompt Boost is basically having two AI engineers optimizing your prompt on two neural networks while you watch the process live. It's collaboration technology combined with prompt engineering and real-time transparency.

Perfect for developers, marketers, content creators, and any advanced user who wants to extract maximum value from their AI interactions.