Universal Prompt Structurer

Transform your ideas into structured, powerful prompts with intent-driven architecture and precise control over every aspect of your AI interactions.

Intent-Driven Design

Automatically detects your goal and provides specialized forms for text generation, summarization, coding, planning, and data conversion.

Granular Control

Fine-tune every aspect from tone and creativity level to output format and target audience with hundreds of configuration options.

Sample Library

Access pre-built configurations for common use cases, from blog posts to technical documentation to data analysis.

Smart Validation

Built-in validation ensures your prompts are properly structured before processing, preventing errors and improving results.

Professional Output

Generate structured JSON, formatted markdown, clean code, or plain text with consistent quality and formatting.

Project Management

Save, load, and manage your prompt configurations as projects for consistent results across sessions.

Why Use Universal Prompt Structurer?

For Content Creators

  • • Generate blog posts, articles, and social media content with precise tone control
  • • Create structured summaries of research materials and reports
  • • Develop marketing copy with specific call-to-actions and target audiences

For Developers

  • • Generate, refactor, and debug code across multiple programming languages
  • • Create comprehensive documentation and technical explanations
  • • Convert data between formats with validation and error handling

For Project Managers

  • • Create detailed project plans with timelines and milestones
  • • Generate risk assessments and contingency strategies
  • • Develop stakeholder communication and progress reports

For Data Analysts

  • • Transform data between CSV, JSON, XML, and other formats
  • • Generate analytical reports with specific focus areas
  • • Create data cleaning and validation workflows

Available Intents & Fields

1. Generate Text

Create various forms of text content, from blog posts to jokes, based on your instructions and desired characteristics.

Core Fields

Instructions (Required)

Your main prompt describing what text you want to generate

Output Format

Choose between markdown, plain text, HTML, or JSON formatting

Act As

Define the AI's role (expert, consultant, developer, etc.)

Tone

Set writing style: neutral, professional, technical, or friendly

Content Control

Word Count & Unit

Specify length in words, characters, sentences, or paragraphs

Document Type

Choose from blog post, email, academic paper, and 20+ other types

Target Audience

Tailor language complexity for specific reader groups

Creativity Level

Balance between precise facts and inventive content

Advanced Options (Pro Mode)

Call to Action & Placement

Add CTAs at beginning, middle, end, or multiple locations

Must Include/Avoid

Force inclusion or exclusion of specific terms and topics

Reading Level

From elementary to expert-level complexity

Examples (Few-shot)

Provide examples for the AI to learn style and format from

2. Summarize

Condense longer texts into shorter, digestible summaries with precise control over focus and format.

Core Fields

What to Summarize (Required)

Describe summarization requirements and specific focus areas

Source Text

Paste the full content to be summarized

Summary Style

Paragraph, bullet points, executive summary, Q&A, and more

Focus Type

Factual, thematic, actionable, analytical, strategic, or statistical

Advanced Control (Pro Mode)

Keywords to Emphasize/Avoid

Highlight specific terms or exclude unwanted topics

Time Period Focus

Focus on specific timeframes or recent developments

Content Types

Include only facts, opinions, statistics, quotes, or examples

Section Headers

Add organizational headers for structured summaries

3. Code

Generate, refactor, debug, or analyze code across multiple programming languages with automated testing.

Core Fields

Coding Task (Required)

Describe the code you want created, modified, or analyzed

Programming Language

Python, JavaScript, TypeScript, SQL, Bash, Go, Java, PHP, Ruby, Rust

Task Type

Write new, refactor, explain, add tests, or fix bugs

Add Tests

Automatically generate unit tests with the code

Input & Output

Existing Code

Paste code to be modified, refactored, or used as context

Output Format

Raw code, markdown with explanations, or structured JSON

4. Plan

Generate structured plans, roadmaps, and strategies with timeline management and risk assessment.

Core Fields

Planning Goal (Required)

Describe what you want to plan (project, campaign, etc.)

Timeframe

1 week to 1 year, or flexible timeline

Detail Level

High-level, detailed, or step-by-step granularity

Plan Format

Timeline, checklist, phases, or milestone-based structure

Project Context (Pro Mode)

Budget Range & Team Size

Define financial and human resource constraints

Risk Tolerance

Conservative, moderate, or aggressive risk appetite

Stakeholder Involvement

Solo to board-level complexity management

Success Metrics

Define measurable success indicators

Advanced Features (Pro Mode)

Dependency Mapping

Include task dependencies and critical path analysis

Contingency Planning

Add backup plans for high-risk elements

Plan Templates

Business launch, product development, event planning templates

Approval Checkpoints

Include formal approval stages and sign-off points

5. Convert Structure

Transform data between formats (text, JSON, CSV, XML, HTML) with validation and cleaning options.

Core Fields

Conversion Goal (Required)

Describe the data transformation you need

From/To Formats

Convert between text, markdown, HTML, JSON, XML, CSV

Schema Hint

Optional structure definition for the output data

Data Handling (Pro Mode)

Error Handling

Skip invalid data, fail completely, or report and continue

Missing Value Handling

Keep empty, remove fields, use placeholders, or defaults

Data Cleaning

Remove duplicates, trim whitespace, normalize case

Format-Specific Options

CSV delimiters, JSON formatting, text encoding settings

Pro Tips for Better Results

Writing Effective Instructions

  • • Be specific about what you want rather than what you don't want
  • • Provide context about the purpose and intended use of the output
  • • Use examples when describing complex formatting requirements
  • • Specify the level of detail needed (overview vs. comprehensive)

Using Advanced Features

  • • Enable Pro Mode to access specialized fields for professional use
  • • Use the Sample Library to quickly configure common use cases
  • • Save successful configurations as projects for reuse
  • • Combine multiple intents for complex multi-step workflows