prompt-x logoprompt-x

Features

Structure, compile, test, refine and launch — the full prompt engineering lifecycle in one platform.

01

Write once, compile for any AI platform

One prompt, five formats. Claude expects XML tags. GPT-4 expects Markdown headers. Gemini expects uppercase labels. Lovable expects natural prose. prompt-x compiles your canonical 9-field prompt into each format automatically.

Claude · GPT-4 · Gemini · Lovable · Raw

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Source

Role: Senior code reviewer

Tone: Direct, constructive

Task: Review the pull request for security vulnerabilities, performance issues...

Constraints: Focus on critical issues first

Compiled

Claude

<role>

Senior code reviewer

</role>

<task>

Review the pull request for security vulnerabilities...

</task>

02

Nine semantic fields guide every prompt

Role, Tone, Context, Task, Reasoning, Examples, Output Format, Constraints, and Tools. Each field answers a specific question about your prompt. Start with 3 fields (Simple) or use all 9 (Advanced).

Context engineering in practice

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Role

Senior technical writer

Tone

Clear, precise, developer-friendly

Context

REST API with 47 endpoints, used by 3rd-party devs

Task

Generate API documentation with examples for each endpoint...

03

One-click launch to Claude, ChatGPT, and Gemini

Click 'Open in Claude' and your compiled prompt opens pre-loaded in a new conversation. No copy-paste workflow. No manual formatting. Deployment, not distribution.

Zero-friction deployment

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<role>

Senior code reviewer with 10+ years of experience

</role>

<task>

Review the following pull request. Focus on security vulnerabilities, performance bottlenecks, and adherence to SOLID principles.

</task>

<constraints>

Limit feedback to critical and high-severity issues only.

</constraints>

~340 tokens · Optimized for ClaudeOpen in Claude →

04

Every change tracked. Every version recoverable.

Timeline view shows the full history. Side-by-side compare highlights what changed. One-click restore to any version. And the status lifecycle — Draft → Testing → Production → Archived — gives prompts the same discipline as code.

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Code Review Checklist

v7Currenttesting
+12 −32 hours ago
v6production
+5 −83 days ago
v5archived
+28 −141 week ago
CompareRestore

05

Reusable prompts with dynamic values

Type {{customer_name}} in any field — it's auto-detected, highlighted, and autocompleted. Define defaults, add descriptions, or import Global Variables shared across all your prompts.

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Prompt Variables

{{company}}textprompt-x
{{user_name}}text
{{output_lang}}selectEnglish

System Variables

{{current_date}}{{platform}}{{model}}

06

Describe your intent. Get a structured prompt.

The AI Designer generates complete prompts from a natural language description — populating each field in the 9-field anatomy. The CLEAR Evaluator scores your prompt across 5 dimensions: Clarity, Logic, Effectiveness, Adaptability, Robustness.

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82strong
Clarity
90
Logic
85
Effectiveness
78
Adaptability
80
Robustness
77

07

Your prompts, organized and searchable

Grid and table views. Filter by status, platform, tags. Tabs for project-based grouping. Everything searchable. If you've written it, you can find it.

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Customer Support Agent
production92 · strongClaude
supportcustomer-facing
Code Review Checklist
testing78 · moderateGPT-4
engineeringreview

08

Prompts as infrastructure

REST API for prompt retrieval. Generate API keys. Fetch compiled prompts by slug in the format your app needs. Production-status prompts accessible via API — your prompt library becomes deployment-ready infrastructure.

Coming in Pro+

Learn more →
GET/api/v1/prompts

curl \

-H "Authorization: Bearer px_sk_..." \

"https://api.prompt-x.io/v1/prompts/

customer-support-agent?format=claude"

{

"slug": "customer-support-agent",

"format": "claude",

"compiled": "<role>...</role>",

"version": "v7"

}

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