The Prompt Compiler
for Top 10 AI Models
Stop fighting context limits and hallucinations.
Get real-time monitoring, automatic compilation, and global benchmarks.
Join BetaWhat is Prompt AI Forge?
A production-grade prompt engineering platform that compiles, monitors, and benchmarks your prompts across the top AI models. Stop debugging in production—catch issues before they happen.
Prompt Compiler
Compiles prompts for top 10 AI models with automatic optimization, consistent structure, and model-specific tuning.
Learn more→Runtime Monitor
Real-time detection of context exhaustion and hallucination drift with automatic corrections and live metrics.
Learn more→PromptBench
Anonymous telemetry and global leaderboard updated every 6 hours. See how your prompts rank against the world.
Learn more→Used by engineers, researchers, and creators building with AI
Choose Your Experience
Two modes. One platform. Pick the experience that matches your workflow.
Creator Mode
Super Friendly
Perfect for:
Developer Mode
Hardcore Control
Perfect for:
Friendly Error Example
🌟 Oops! Your prompt is getting a bit long... Don't worry! I noticed your prompt might exceed the context limit for GPT-4. 📊 Current size: ~52,000 tokens ✅ Recommended: <40,000 tokens Would you like me to automatically optimize it for you? [✨ Yes, optimize it for me!] [📖 Learn more]
Friendly, helpful, and always has your back 💚
Three Core Features
Everything you need to build, monitor, and optimize prompts in production
Prompt Compiler
Automatic optimization for top 10 AI models. Compile once, run anywhere with model-specific tuning.
Runtime Monitor
Real-time detection of context exhaustion and hallucination drift. Catch issues before they reach production.
PromptBench
Global leaderboard updated every 6 hours. See how your prompts rank against 50K+ real-world tests.
Prompt Compiler
Works seamlessly with the top 10 AI models currently available. Write once, optimize for all.
Supported AI Models
GPT-4 Turbo
OpenAI
GPT-4o
OpenAI
Claude 3.5 Sonnet
Anthropic
Claude 3 Opus
Anthropic
Gemini 1.5 Pro
Gemini 1.5 Flash
Llama 3.3 70B
Meta
Mistral Large 2
Mistral AI
Command R+
Cohere
Grok 2
xAI
Automatic model detection and parameter tuning
Automatic Optimization
Intelligently restructures prompts for maximum effectiveness on each model
Consistent Structure
Ensures your prompts follow best practices and formatting standards
Model-Specific Tuning
Adapts temperature, top_p, and other parameters for optimal results
See the Difference
Before: Raw Input
write me a blog post about AI and make it good and also add some examples and make sure its not too long but also has enough detail you know what I mean❌ Vague, unstructured, missing context
After: Compiled Prompt
# Task
Write a comprehensive blog post about artificial intelligence.
# Requirements
- Length: 800-1000 words
- Tone: Professional, informative
- Target audience: Technology professionals
- Include: 2-3 real-world examples
- Structure: Introduction, 3 main sections, conclusion
# Examples to include
1. AI in healthcare (diagnosis assistance)
2. AI in finance (fraud detection)
3. AI in creative industries (content generation)
# Output format
- Use markdown formatting
- Include relevant subheadings
- Add brief introduction and conclusion
- Ensure logical flow between sections
# Constraints
- Avoid technical jargon unless explained
- Focus on practical applications
- Maintain balanced perspective on benefits/challenges✅ Structured, clear requirements, optimized format
Runtime Monitor
Real-time detection and prevention of the two most expensive AI failures: context exhaustion and hallucination drift.
Context Exhaustion Detection
Catch overflow before you hit the API
The system automatically calculates your estimated token consumption before sending requests. When you're about to exceed the model's context window, you get a precise breakdown and actionable solutions.
Automatic Detection
Monitors token usage in real-time
Detailed Breakdown
Shows exactly where tokens are being used
Smart Solutions
Suggests specific fixes like model switching or summarization
FATAL [F301] - Context overflow estimado
Modelo: claude-3.5-sonnet → contexto 200k
Consumo estimado: 212.4k tokens (106%)
├─ System + few-shots: 48k
├─ Input del usuario: 12k
├─ Chain-of-thought medio: 68k
└─ Output esperado: 84k
Solución: reduce longitud, usa summarization intermedia
o cambia a gemini-1.5-pro-002 (1M contexto)Hallucination Drift Detection
Stop the model before it goes off the rails
WARNING [W812] - Hallucination drift detectado (nivel 3/5)
Posición: token ~18.200
Últimos 3 integrity-checks fallados
Probabilidad estimada de alucinación: 78%
Acciones automáticas tomadas:
→ Temperatura forzada a 0.0
→ Activado modo "cite-only"
→ Verificación cruzada con Perplexity/Grok SearchAdvanced integrity checks monitor the model's output quality in real-time. When coherence drops or the model starts making things up, automatic interventions kick in.
Real-Time Monitoring
Tracks coherence and factuality throughout generation
Automatic Corrections
Adjusts temperature and enables cite-only mode
Cross-Verification
Uses external sources to validate claims
Live Metrics Dashboard
See what's happening inside the black box
Tokens usados: 12742 / 200000 (6%)
Peak attention: posición 11200
Hallucination score: 0.12 → 0.67 ↑ (subiendo rápido)
Coherencia lógica: 98% (bajó 12% en últimos 800 tokens)
Estimado final: 2:41 min restantesAll metrics updated in real-time during generation. See exactly where the model focuses attention and when quality starts to degrade.
Never Ship Broken AI Again
Catch context overflows and hallucinations before they reach production. Save time, money, and your reputation.
Get Early Access→PromptBench
The world's first global prompt performance leaderboard. See how different models actually perform in real-world usage.
How Anonymous Telemetry Works
What We Collect
Every time you use the compiler (optional, but 99% say yes), we collect performance metrics to build the world's most accurate AI model rankings.
PromptScript original
Your input prompt (anonymized)
Prompt compiled final
Optimized output version
Model used
Which AI model processed it
Temperature/top_p
Generation parameters
Tokens consumed
Actual usage metrics
Time of response
Latency measurements
Hallucination score
Quality assessment
User rating (1-5 stars)
Your satisfaction score
Privacy Guarantee
100% Anonymous
No personal information, emails, or identifiable data ever collected
Aggregated Only
Individual prompts never shared, only statistical aggregates
Opt-Out Anytime
Toggle telemetry on/off in settings with one click
GDPR Compliant
Full compliance with international privacy regulations
Live Leaderboard
Claude 3.5 Sonnet
GPT-4 Turbo
Gemini 1.5 Pro
GPT-4o
Claude 3 Opus
Rankings based on real-world performance across 50,000+ actual prompt compilations
Prompts Benchmarked
AI Models Ranked
Leaderboard Updates
Built for Everyone
From solo creators to Fortune 500 companies, Prompt AI Forge helps teams ship better AI products faster.
Content Marketers
Never waste tokens on badly structured prompts. Get consistent, high-quality content generation across all campaigns.
3x faster content creation with 90% fewer revisions
Engineers
Debug LLM issues in real-time. See exactly where context breaks or hallucinations start before they hit production.
Catch bugs before deployment, save hours of debugging
Researchers
Benchmark prompt performance across models with real data. Know which model works best for your specific use case.
Data-driven model selection backed by 50K+ real tests
Startups
Ship AI features faster with built-in monitoring and optimization. Focus on product, not prompt engineering.
Launch weeks faster with production-ready prompts
Educators
Teach students prompt engineering best practices with real examples and metrics. Show them what works and why.
Hands-on learning with live feedback and benchmarks
Enterprise
Control costs with context monitoring and automatic optimization. Get visibility into token usage across all teams.
Reduce AI costs by 40% with smart token management
Don't see your use case? Prompt AI Forge works for any workflow that uses LLMs.
Join the Waitlist→PromptBench Leaderboard
| Rank | Model | Score | Efficiency |
|---|---|---|---|
| #1 | Grok 4 | 98.5 | 99% |
| #2 | GPT-4o | 97.2 | 95% |
| #3 | Claude 3.5 Sonnet | 96.8 | 94% |
Join the Waitlist
Get early access to the compiler.