Empromptu LogoEmpromptu

Up to 98% Accuracy from Day One

The optimization technology that makes AI applications reliable enough for business use. Built-in LLMOps tools that technical teams can actually use, with automatic improvements that reduce maintenance over time.

Industry Standard

60-70%

Unreliable for business use

Empromptu Applications

Up to 98%

Business-ready from day one

The Problem with Traditional AI

Most AI applications achieve only 60-70% accuracy because they rely on single, static prompts that work for some inputs but fail on edge cases. This creates unreliable results that businesses can't trust with real customers.

Empromptu's Solution: Prompt Families

Instead of one prompt for everything, Empromptu creates Prompt Families - collections of specialized prompts that automatically adapt to different scenarios. Like a travel chatbot that knows to mention LAX for Los Angeles vs. Pearson for Toronto.

"Hallucinations are virtually solved. Every time it's 98% or better."
- Rory Creigh, Practicing Musician

5 Optimization Tools

Access everything through the Actions button on any task. Each tool handles a different aspect of making your AI applications more accurate and reliable.

🎯

Prompt Optimization

Build Prompt Families that automatically select the best prompt for each input. Includes automatic and manual optimization modes.

Event Log trackingPrompt Family managementOne-click optimization
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📊

Input Optimization

Manage test data and analyze real user inputs. Compare Manual Inputs vs End User Inputs to improve performance.

Manual test inputsEnd user analysisPerformance patterns
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🤖

Model Optimization

Test different AI models to find the best fit. Compare GPT-4o, Claude 3 Opus, Claude 3 Sonnet with side-by-side performance.

Model comparisonTemperature settingsCost vs performance
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🔍

Edge Case Detection

Visual scatter plot analysis to identify problematic inputs. Requires 15-20+ API calls to generate meaningful patterns.

Visual scatter plotProblem area selectionTargeted optimization
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Evaluations

Define what "success" looks like for your AI applications. Create manual criteria or generate them automatically.

Manual creationAutomatic generationActive/Inactive control
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0-10 Scoring System

Every optimization attempt gets a score from 0-10 with detailed reasoning. Color-coded for quick understanding.

🟢9-10

Excellent

Optimal performance, ready for business use

🔵7-8

Good

Business-ready, occasional edge cases

🟠4-6

Medium

Getting better, needs optimization

🔴0-3

Low

Needs immediate attention

How Optimization Works

1

Build Your Application

Create AI applications with our builder. Each application contains projects, and each project contains tasks.

2

Access Optimization Tools

Click the Actions button on any task to access all 5 optimization tools. Each tool handles different aspects of improvement.

3

Set Success Criteria

Define evaluations that measure what "good" looks like for your specific use case. Create them manually or generate automatically.

4

Optimize & Monitor

Run automatic optimization or use manual tools for targeted improvements. Track performance with detailed scoring and analytics.

Deploy in Your Environment

🐳

Docker Containers

Download applications as Docker containers for seamless integration with your existing infrastructure.

📂

GitHub Integration

Push applications directly to your repositories for version control and automated deployment workflows.

☁️

Cloud Deployment

One-click deployment to cloud providers for rapid testing and deployment.

Start Optimizing Your AI Applications

From 60% Unreliable to 98% Business-Ready

Stop settling for AI applications that work "most of the time." Get the optimization technology that makes AI reliable enough for your business.