Turn Any Request Into Professional-Grade Prompts

This prompt optimization system transforms simple requests into expert-level prompts automagically. Get better responses with no learning curve. For free.

Set It Up Now See How It Works

60-second setup • Works with any Claude conversation

30% Better Accuracy
39% Improved Reasoning
3x Better Outcomes

Simple Request → Expert Prompt

Click a basic prompt to see how our system transforms it into a professional prompt.

Basic Prompts
Business Write a market analysis for our new app.
Professional I need assistance setting up a freelance business offering professional landscaping services in the UK.
Technical I've got an idea for an app. Let's discuss the app and then help me come up with a tech stack for an MVP on a minimal budget.
Personal I've got 2 weeks of annual leave coming up in August. I want to go to a nice place in Spain and spend around £3000 on the entire trip, including cheap flights from London area. Flying solo.
Enhanced Prompt - Sonnet

How & Why This Works

These aren't tricks - they're documented behaviors from extensive research.

XML Structure (+30% Performance)

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Think of XML tags like filing cabinets in your mind. Just as you wouldn't mix tax documents with recipes, Claude performs better when different types of information are clearly separated.

<task>Analyze customer feedback</task>

<context>Q4 2024 SaaS product</context>

<requirements>
  - Identify key themes
  - Quantify sentiment
  - Suggest improvements
</requirements>

Chain of Thought (+39% Reasoning)

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By encouraging Claude to think step-by-step before responding, complex problems become manageable. This mimics how experts approach difficult challenges.

Companies using this technique report significantly better analysis quality and fewer errors in complex tasks.

Data-First Approach (+30% Comprehension)

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Present your data before your instructions. It's like giving someone all the ingredients before asking them to cook - they can plan better and make fewer mistakes.

This simple reordering helps Claude understand context before processing commands.

Why It's This Simple

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These techniques work because they align with how Claude was trained. It's not about gaming the system - it's about speaking Claude's native language.

Just like how native speakers naturally use idioms and expressions, these patterns help Claude understand and respond optimally.

Start Creating Professional Prompts Instantly

Join thousands who've already transformed their AI workflow.

Set It Up Now

Universal Prompt Enhancer

Transform basic requests into expert prompts for any AI model - Claude, ChatGPT, Gemini, and more. Click "Enhance a Prompt Now" or drag the "Add to Your Browser" button to your bookmarks bar.

Add to Your Browser

Examples

See how the Universal Prompt Enhancer works across various LLMs. Your experience may vary but the difference is noticeable. The prompt was "I need a basic HTML dashboard that analyses UK's inflation."

Select Model
Google Gemini 2.5 Flash
Google Gemini 2.5 Pro
OpenAI ChatGPT 4o
Model Interpretation

Deep Dive:
The Complete System

For those who want to understand everything.

Research Methodology

This system is the result of research, combining:

  • Analysis of Claude's official documentation and system prompts.
  • Community insights from production deployments.
  • Quantified performance testing across use cases.
  • Real-world case studies from companies achieving significant improvements.
  • Full documentation and ongoing updates available on GitHub.

Key Discovery

The techniques that work best aren't complex - they're about clear communication. Like learning a new language, once you understand the patterns, everything clicks.

Core Techniques Breakdown

1. XML Structure (30% Improvement)

XML tags provide semantic structure that Claude inherently understands:

<objective>Primary goal</objective> <constraints>Limitations to consider</constraints> <data>Relevant information</data> <format>Expected output structure</format>

2. Chain of Thought (39% Improvement)

Encouraging step-by-step reasoning dramatically improves complex problem solving:

<thinking> Before responding, break down the problem: 1. Identify key components 2. Analyze relationships 3. Consider edge cases 4. Formulate solution </thinking>

3. Data-First Approach (30% Improvement)

Present all context before instructions:

<context> User: Enterprise SaaS company Industry: Healthcare Challenge: HIPAA compliance Budget: $50k </context> <task>Design a compliant data architecture</task>

Advanced Patterns

For power users pushing the boundaries:

Parallel Tool Processing

Claude 4 can execute multiple operations simultaneously:

"Analyze these three documents in parallel: - Extract key metrics from report A - Summarize findings from report B - Compare conclusions from report C"

Dynamic Example Injection

Adapt examples based on task complexity:

  • Simple tasks: 1-2 examples.
  • Medium complexity: 3-5 examples.
  • Haiku optimization: 10+ examples.

Template Library

Visit our GitHub for production-ready templates covering:

Business Templates

  • Market Research Analysis.
  • Executive Dashboards.
  • Strategic Planning.
  • Financial Reports.

Technical Templates

  • API Documentation.
  • Code Reviews.
  • Architecture Design.
  • Debug Assistant.

Creative Templates

  • Content Marketing.
  • Educational Tutor.
  • Customer Service.
  • Data Visualization.

Real-World Results

E-commerce Support Team: 300% Efficiency Gain

Implemented structured prompting across customer support, reducing response time from 15 minutes to 5 minutes whilst improving solution quality and customer satisfaction scores.

Content Marketing Agency: 90% Cost Reduction

Optimised prompts for efficient models, achieving premium-quality outputs at a fraction of previous costs through strategic prompt engineering and model selection.

Financial Services Firm: 20% Accuracy Improvement

Applied XML structuring to complex financial analysis tasks, reducing errors and improving regulatory compliance whilst accelerating report generation.

Implementation Guide

Phase 1: Instant Setup (Day 1)

  1. Install the Custom Style system (60 seconds).
  2. Test with your first optimised prompt.
  3. Experience immediate improvement in responses.

Phase 2: Building Expertise (Week 1)

  1. Create prompt templates for your common tasks.
  2. Practice structured request formatting.
  3. Measure the quality improvements in outputs.

Phase 3: Advanced Optimization (Month 1)

  1. Customise templates for your specific workflow.
  2. Experiment with different models and approaches.
  3. Implement team-wide prompt standards.

Contributing

This is a living system that improves with community input. You can contribute by:

  • Sharing your optimization discoveries.
  • Submitting new templates.
  • Reporting performance metrics.
  • Improving documentation.

Visit the GitHub repository to contribute.