Optimize Your AI Interactions with PromptLens℠

Supercharge your inferences and insights with advanced LLM prompt optimization, response analysis and explainability.

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Enhance prompts for better output and insights with explainability.

Analyze responses for actionable insights instantly.

Achieve reproducibility across multiple language models.

A laptop displaying a webpage about optimizing language models rests on a wooden table. To the left of the laptop is a white cup containing coffee, with remnants of foam around the edges. A colorful laminated menu stand with a sandwich picture is positioned behind the cup.
A laptop displaying a webpage about optimizing language models rests on a wooden table. To the left of the laptop is a white cup containing coffee, with remnants of foam around the edges. A colorful laminated menu stand with a sandwich picture is positioned behind the cup.
A laptop displays a screen with the title 'ChatGPT: Optimizing Language Models for Dialogue', accompanied by descriptive text. The background shows a blurred image of a sandwich, and there's a white cup on the wooden table next to the laptop.
A laptop displays a screen with the title 'ChatGPT: Optimizing Language Models for Dialogue', accompanied by descriptive text. The background shows a blurred image of a sandwich, and there's a white cup on the wooden table next to the laptop.
A computer screen displaying a webpage about ChatGPT, focusing on optimizing language models for dialogue. The webpage has text describing the model and includes the OpenAI logo. The background is green with some purple graphical elements on the side.
A computer screen displaying a webpage about ChatGPT, focusing on optimizing language models for dialogue. The webpage has text describing the model and includes the OpenAI logo. The background is green with some purple graphical elements on the side.

Empowering Your AI Interactions

PromptLens℠ enhances your experience with large language models through prompt optimization, response analysis, with explainability and benchmarking, ensuring you achieve better outcomes and insights efficiently.

A laptop displays a webpage titled '150 ChatGPT copywriting prompts' with a logo above the text. It suggests using AI to improve copywriting skills. On the left, part of a colorful sandwich is partially visible, adding a contrast to the academic theme on the screen.
A laptop displays a webpage titled '150 ChatGPT copywriting prompts' with a logo above the text. It suggests using AI to improve copywriting skills. On the left, part of a colorful sandwich is partially visible, adding a contrast to the academic theme on the screen.
Unlocking AI Potential
Transforming Prompting Strategies

Our innovative tool saves time, improves outcomes, enhances transparency, and drives ROI, making it essential for writers, marketers, developers, and enterprises seeking to optimize their AI interactions.

Optimize Your Prompts

Enhance interactions with language models through advanced prompt optimization and response analysis.

A computer screen displays a PageSpeed Insights report for the website google.com, showing a high performance score of 99. The report includes metrics such as First Contentful Paint (FCP), Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS), all of which are represented with graphical progress bars.
A computer screen displays a PageSpeed Insights report for the website google.com, showing a high performance score of 99. The report includes metrics such as First Contentful Paint (FCP), Largest Contentful Paint (LCP), First Input Delay (FID), and Cumulative Layout Shift (CLS), all of which are represented with graphical progress bars.
Prompt Optimization

Craft better prompts for improved outcomes.

Response Analysis

Extract actionable insights from model responses efficiently.

Reproducibility Testing

Ensure consistent results across different language models for reliability.

Explainability
Response Analysis

Breaks down model reasoning and detects errors.

PromptLens℠ has transformed my workflow, drastically improving my prompt crafting and response analysis efficiency!

Alex Smith

A display screen shows information about ChatGPT, a language model for dialogue optimization. The text includes details on how the model is used in conversational contexts. The background is primarily green, with pink and purple graphic lines on the right side. The OpenAI logo is positioned at the top left.
A display screen shows information about ChatGPT, a language model for dialogue optimization. The text includes details on how the model is used in conversational contexts. The background is primarily green, with pink and purple graphic lines on the right side. The OpenAI logo is positioned at the top left.
A hand holding a smartphone in a dimly lit environment, displaying text related to mobile optimization. The focus is on the smartphone screen, and the background is a blurred wooden surface.
A hand holding a smartphone in a dimly lit environment, displaying text related to mobile optimization. The focus is on the smartphone screen, and the background is a blurred wooden surface.

★★★★★

Prompt Optimization

Enhance interactions with LLMs using advanced prompt and response analysis.

A laptop displaying a website about language models is set on a wooden table. A coffee cup is nearby, next to a menu stand featuring a beef dish advertisement.
A laptop displaying a website about language models is set on a wooden table. A coffee cup is nearby, next to a menu stand featuring a beef dish advertisement.
Abstract representation of digital text overlay with questions about large language models, featuring a futuristic, stylized reflection and refracted light effect.
Abstract representation of digital text overlay with questions about large language models, featuring a futuristic, stylized reflection and refracted light effect.
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
A computer screen displaying a coding interface with Python code related to machine learning. The code imports libraries like sklearn and deals with model metrics such as precision and recall. A classification report is shown along with a section titled 'Different meta model trained' listing various models like DT, RF, LR, and XGB. Below, there is code for tuning an XGB model using GridSearchCV.
Lines of code are displayed on a dark screen, showing a set of skill percentages related to programming, planning, organization, visual design, creativity, learning, and communication. The text is colored, likely to indicate syntax highlighting in a code editor.
Lines of code are displayed on a dark screen, showing a set of skill percentages related to programming, planning, organization, visual design, creativity, learning, and communication. The text is colored, likely to indicate syntax highlighting in a code editor.
Insights

Optimize LLM prompts and analyze responses effectively today.

Tools

Early Beta access

gclabs@greencatapult.net

+1 (929) 470-4448

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