Nir G
Prompt Simplifier
Create accurate prompts for automated assessment using a conversational AI interface.
B2B
Ai
Complex system
Summary
Background
The mission was born from the need to streamline the manual, time-consuming, and human error-prone agent evaluation process (inconsistency in scores). The goal was to implement AI technology for automated and accurate evaluation. The main challenge was to simplify the complex Prompt Engineering, so that any form creator could write accurate prompts without prior knowledge, thus ensuring reliability, accuracy, and resource savings.
Main challenge
- The problem: Creating accurate prompts for automated assessment is a complicated process that requires the knowledge and experience of professionals. Regular form creators are not AI people.
- The challenge: How to design a conversational AI interface that will help the form writer accurately and formulate long, complex prompts in the background, using simple guiding questions, thus making the Prompt Engineering process accessible and easy to use for any user.
- The key insight: writing a precise prompt is itself long and complex — not something everyone can do. So precise prompt engineering became a secondary goal. The real solution is a system that reads the user's needs through simple, conversational anchor questions, then writes and refines the prompt on their behalf.
CLIENT
Nice
SERVICES
- B2B
- Ai
- Complex system
Impact
The project fully automated the agent assessment process, leading to incredible savings in manpower and time, and dramatically reducing the percentage of human errors and inconsistencies. In addition, the system positioned the company as an innovation leader by making complex AI tools (Prompt Engineering) accessible to all customers in a convenient and eye-level way.
80%
Manual Effort Reduced
75%
Accuracy Improved
AI-Powered Evaluation
Work process
01
Identify the Challenge
Conducted deep research into AI tools on the market and their capabilities, and followed thought leaders to understand how prompts should be written — to characterize the need for an automated solution for evaluating agents, addressing the inefficiency and errors of the manual process.
02
UX/AI Characterization
Analyzed how skilled prompt writers actually work — their need for accuracy tracking, switching between versions, and comparing results against ground truth — through close conversations with Prompt Engineers, developers, and senior leadership responsible for the company's competitive position. Designed a conversational AI interface that simplifies writing complex prompts for inexperienced users.
03
Develop an Accuracy Mechanism
Analyzed advanced AI tools that help refine prompts, and mapped what users were actually trying to solve: something simple but accurate. Built a mechanism where a few simple anchor questions in a conversation let the system formulate the prompt and show the user its accuracy level.
04
Create a Final Product
Implement the system to send automated evaluation forms and present a short and clear question to the manager/agent.
05
Knowledge Preservation
Create an organizational prompt library for future use, ensuring the preservation of accuracy and knowledge.
Steps
Prompt Builder – Creating an AI-guided question
This step is the core of UX innovation, simplifying the complex engineering of prompts:
- Initial settings: The user selects the database on which the question will be based and defines relevant parameters for the LLM model.
- Prompting in a chat format: The user enters their initial prompt using an interactive chat interface that simulates a conversation.
- Automatic guidance and accuracy: The system acts as an intelligent “Prompt Assistant” – it uses experience and instructions given to it to present targeted questions that refine the prompt writing in the background, thus ensuring accurate and consistent assessment results without the need for expert knowledge.
Product selection
Validation and Accuracy: The Result Test
After a series of targeted questions, a long and precise prompt is created in the background aimed at optimal assessment.
- Results formulation: The created prompt is run on real data, and the precise and reliable results are formulated and presented to the user.
- Comparison and version selection: The system allows the user to easily switch between several different versions of prompts (generated from different conversations or updates), to test them against the results and select the most precise version to be used for future automated assessment.
Customer Management
Supervision, continuous accuracy and final implementation
This step allows the user to gain full ownership and trust in the created prompt, before implementing it into the system.
- Deep Dive into Accuracy Data: The user takes a deep dive into the test results to examine the prompt’s performance. This data includes critical metrics such as accuracy, consistency, human-test comparison data, and more.
- Ensuring Reliability: Data analysis allows the user to see exactly how accurate the question was, allowing for retraining and improvement if necessary.
- Implementation and Launch: Once accuracy is confirmed, the user can integrate the question into the final assessment form. From that point on, the question can assess an agent in an accurate, consistent manner without human intervention—thus delivering the full effect of automation.
Payment selection
Payment selection
Effect
Dramatic savings in resources:
Full automation of the agent evaluation process, which led to huge savings in time and manpower required for manual testing.
Improved accuracy and objectivity:
Eliminating human bias and reducing the percentage of errors and inconsistencies in scores. The system provides a consistent and reliable evaluation.
Making AI accessible and innovative:
Removing the knowledge barrier in Prompt Engineering through a conversational interface, thus making complex AI technology accessible to all users in a convenient way.
Positioning the company as an innovation leader in the field of AI.
In one sentence: my call to hide the complexity of prompt engineering behind simple conversational questions is what created huge savings in resources, dramatically improved the accuracy and objectivity of the evaluation, and led the company and customers to convenient, accessible use of advanced AI tools.
Ready to create
great things
Got a complex challenge? Let's solve it together.
Let's talk
Download Resume
Prompt Simplifier
Create accurate prompts for automated assessment using a conversational AI interface.
B2B
Ai
Complex system
Summary
Background
The mission was born from the need to streamline the manual, time-consuming, and human error-prone agent evaluation process (inconsistency in scores). The goal was to implement AI technology for automated and accurate evaluation. The main challenge was to simplify the complex Prompt Engineering, so that any form creator could write accurate prompts without prior knowledge, thus ensuring reliability, accuracy, and resource savings.
Main challenge
- The problem: Creating accurate prompts for automated assessment is a complicated process that requires the knowledge and experience of professionals. Regular form creators are not AI people.
- The challenge: How to design a conversational AI interface that will help the form writer accurately and formulate long, complex prompts in the background, using simple guiding questions, thus making the Prompt Engineering process accessible and easy to use for any user.
- The key insight: writing a precise prompt is itself long and complex — not something everyone can do. So precise prompt engineering became a secondary goal. The real solution is a system that reads the user's needs through simple, conversational anchor questions, then writes and refines the prompt on their behalf.
CLIENT
Nice
SERVICES
- B2B
- Ai
- Complex system
Impact
The project fully automated the agent assessment process, leading to incredible savings in manpower and time, and dramatically reducing the percentage of human errors and inconsistencies. In addition, the system positioned the company as an innovation leader by making complex AI tools (Prompt Engineering) accessible to all customers in a convenient and eye-level way.
80%
Manual Effort Reduced
75%
Accuracy Improved
AI-Powered Evaluation
Work process
01
Identify the Challenge
Conducted deep research into AI tools on the market and their capabilities, and followed thought leaders to understand how prompts should be written — to characterize the need for an automated solution for evaluating agents, addressing the inefficiency and errors of the manual process.
02
UX/AI Characterization
Analyzed how skilled prompt writers actually work — their need for accuracy tracking, switching between versions, and comparing results against ground truth — through close conversations with Prompt Engineers, developers, and senior leadership responsible for the company's competitive position. Designed a conversational AI interface that simplifies writing complex prompts for inexperienced users.
03
Develop an Accuracy Mechanism
Analyzed advanced AI tools that help refine prompts, and mapped what users were actually trying to solve: something simple but accurate. Built a mechanism where a few simple anchor questions in a conversation let the system formulate the prompt and show the user its accuracy level.
04
Create a Final Product
Implement the system to send automated evaluation forms and present a short and clear question to the manager/agent.
05
Knowledge Preservation
Create an organizational prompt library for future use, ensuring the preservation of accuracy and knowledge.
Steps
Product selection
This step is the core of UX innovation, simplifying the complex engineering of prompts:
This step is the core of UX innovation, simplifying the complex engineering of prompts:
Product selection
The Resoults
After a series of targeted questions, a long and precise prompt is created in the background aimed at optimal assessment.
After a series of targeted questions, a long and precise prompt is created in the background aimed at optimal assessment.
Customer Management
Payment selection
This step allows the user to gain full ownership and trust in the created prompt, before implementing it into the system.
This step allows the user to gain full ownership and trust in the created prompt, before implementing it into the system.
Payment selection
Payment selection
Effect
The result is a product that has gained widespread customer adoption due to its simplicity and reliability, creating a significant competitive advantage for the company.
Effect
Dramatic savings in resources:
Full automation of the agent evaluation process, which led to huge savings in time and manpower required for manual testing.
Improved accuracy and objectivity:
Eliminating human bias and reducing the percentage of errors and inconsistencies in scores. The system provides a consistent and reliable evaluation.
Making AI accessible and innovative:
Removing the knowledge barrier in Prompt Engineering through a conversational interface, thus making complex AI technology accessible to all users in a convenient way.
Positioning the company as an innovation leader in the field of AI.
In one sentence: my call to hide the complexity of prompt engineering behind simple conversational questions is what created huge savings in resources, dramatically improved the accuracy and objectivity of the evaluation, and led the company and customers to convenient, accessible use of advanced AI tools.
Ready to create
great things
Got a complex challenge? Let's solve it together.
Let's talk
Download Resume
Prompt Simplifier
Create accurate prompts for automated assessment using a conversational AI interface.
B2B
Ai
Complex system
Summary
Background
The mission was born from the need to streamline the manual, time-consuming, and human error-prone agent evaluation process (inconsistency in scores). The goal was to implement AI technology for automated and accurate evaluation. The main challenge was to simplify the complex Prompt Engineering, so that any form creator could write accurate prompts without prior knowledge, thus ensuring reliability, accuracy, and resource savings.
Main challenge
- The problem: Creating accurate prompts for automated assessment is a complicated process that requires the knowledge and experience of professionals. Regular form creators are not AI people.
- The challenge: How to design a conversational AI interface that will help the form writer accurately and formulate long, complex prompts in the background, using simple guiding questions, thus making the Prompt Engineering process accessible and easy to use for any user.
- The key insight: writing a precise prompt is itself long and complex — not something everyone can do. So precise prompt engineering became a secondary goal. The real solution is a system that reads the user's needs through simple, conversational anchor questions, then writes and refines the prompt on their behalf.
CLIENT
Nice
SERVICES
- B2B
- Ai
- Complex system
Impact
The project fully automated the agent assessment process, leading to incredible savings in manpower and time, and dramatically reducing the percentage of human errors and inconsistencies. In addition, the system positioned the company as an innovation leader by making complex AI tools (Prompt Engineering) accessible to all customers in a convenient and eye-level way.
80%
Manual Effort Reduced
75%
Accuracy Improved
AI-Powered Evaluation
Work process
01
Identify the Challenge
Conducted deep research into AI tools on the market and their capabilities, and followed thought leaders to understand how prompts should be written — to characterize the need for an automated solution for evaluating agents, addressing the inefficiency and errors of the manual process.
02
UX/AI Characterization
Analyzed how skilled prompt writers actually work — their need for accuracy tracking, switching between versions, and comparing results against ground truth — through close conversations with Prompt Engineers, developers, and senior leadership responsible for the company's competitive position. Designed a conversational AI interface that simplifies writing complex prompts for inexperienced users.
03
Develop an Accuracy Mechanism
Analyzed advanced AI tools that help refine prompts, and mapped what users were actually trying to solve: something simple but accurate. Built a mechanism where a few simple anchor questions in a conversation let the system formulate the prompt and show the user its accuracy level.
04
Create a Final Product
Implement the system to send automated evaluation forms and present a short and clear question to the manager/agent.
05
Knowledge Preservation
Create an organizational prompt library for future use, ensuring the preservation of accuracy and knowledge.
Steps
Prompt Builder – Creating an AI-guided question
This step is the core of UX innovation, simplifying the complex engineering of prompts:
- Initial settings: The user selects the database on which the question will be based and defines relevant parameters for the LLM model.
- Prompting in a chat format: The user enters their initial prompt using an interactive chat interface that simulates a conversation.
- Automatic guidance and accuracy: The system acts as an intelligent “Prompt Assistant” – it uses experience and instructions given to it to present targeted questions that refine the prompt writing in the background, thus ensuring accurate and consistent assessment results without the need for expert knowledge.
Product selection
Validation and Accuracy: The Result Test
After a series of targeted questions, a long and precise prompt is created in the background aimed at optimal assessment.
- Results formulation: The created prompt is run on real data, and the precise and reliable results are formulated and presented to the user.
- Comparison and version selection: The system allows the user to easily switch between several different versions of prompts (generated from different conversations or updates), to test them against the results and select the most precise version to be used for future automated assessment.
Customer Management
Supervision, continuous accuracy and final implementation
This step allows the user to gain full ownership and trust in the created prompt, before implementing it into the system.
- Deep Dive into Accuracy Data: The user takes a deep dive into the test results to examine the prompt’s performance. This data includes critical metrics such as accuracy, consistency, human-test comparison data, and more.
- Ensuring Reliability: Data analysis allows the user to see exactly how accurate the question was, allowing for retraining and improvement if necessary.
- Implementation and Launch: Once accuracy is confirmed, the user can integrate the question into the final assessment form. From that point on, the question can assess an agent in an accurate, consistent manner without human intervention—thus delivering the full effect of automation.
Payment selection
Payment selection
Effect
Dramatic savings in resources:
Full automation of the agent evaluation process, which led to huge savings in time and manpower required for manual testing.
Improved accuracy and objectivity:
Eliminating human bias and reducing the percentage of errors and inconsistencies in scores. The system provides a consistent and reliable evaluation.
Making AI accessible and innovative:
Removing the knowledge barrier in Prompt Engineering through a conversational interface, thus making complex AI technology accessible to all users in a convenient way.
Positioning the company as an innovation leader in the field of AI.
In one sentence: my call to hide the complexity of prompt engineering behind simple conversational questions is what created huge savings in resources, dramatically improved the accuracy and objectivity of the evaluation, and led the company and customers to convenient, accessible use of advanced AI tools.
Ready to create
great things
Got a complex challenge? Let's solve it together.
Let's talk
Download Resume