Career at BlueCallom

Welcome to the GPTBlue Release N°5.2 update! This installment focuses on enhancing user engagement through gamification and making our coin economy more rewarding and accessible. Let’s dive in!

User Gamification and Coin Economy

To make your journey with GPTBlue more enjoyable and rewarding, we’ve introduced new elements to our user gamification system. Our aim is to celebrate your achievements and special engagements with a variety of badges, while also updating our coin economy to enhance your overall experience.

BlueCallom Badges

We’re excited to introduce BlueCallom badges, designed to recognize and celebrate your milestones. The first 100 users will find their exclusive GPTBlue100 badge in the persona portal under “Badges”. Users with IDs from 101 to 1000 will receive the GPTBlue1000 badge, and following this, users will be awarded the GPTBlue10,000 badge. Additionally, there will be badges for top prompt contributions and various other activities in the future. Stay tuned for more ways to showcase your achievements!

BlueCallom Coin Economy Update

Good news! The cost of AI compute power has decreased significantly with GPT-4o, which means we can now offer you more affordable access to our services. The average prompt cost has dropped from approximately 1,000 CallomCoins (CC) to 500 CC, allowing you to explore GPTBlue with fewer coins. As a result, new users will receive 1,000 CC upon registering and an additional 4,000 CC upon completing their profile.

To maintain a healthy coin economy, free coins will now expire after 30 days of inactivity. Unused coins currently in circulation will expire on August 10, 2024. This policy does not affect coins earned through activities and community support, ensuring that active users continue to benefit from their engagement.

Important Outlook

We are continuously working on developing more “BluePrompts” to enhance our Agent development. One exciting upcoming feature is the “Smart Contract Prompt,” a powerful tool within the CallomCoin Economy. This will allow users to test prompts or agents for a limited time or one-time usage, with the option to continue using them once the payment terms are met.

Key Benefits:

• Recognition and Motivation: Earn exclusive badges to celebrate your milestones, encouraging continued engagement and active participation.
• Cost Efficiency: With reduced AI compute power costs, accessing GPTBlue services is now more affordable, allowing you to execute more prompts.

Bug Fixes

Password Change

We’ve listened to your feedback and have promptly addressed the issue of the missing password change link in the Personal Portal. You can now easily change your password to keep your account secure and up-to-date.

Key Benefits:

• Enhanced Security and User Control: Your account remains secure and up-to-date based on your preferences.

Thank you for being a part of the GPTBlue community. We’re committed to continuously improving your experience and look forward to your feedback. We hope you enjoy and find use in the new features and enhancements in GPTBlue Release N°5.2!

In part 1, you can read about new Prompt Features and No-Code Solutions.

The post GPTBlue Release N°5.2: Boosting Engagement and Rewards appeared first on BlueCallom.

We are excited to announce the release of GPTBlue Release N°5.1, a significant update packed with new features and improvements designed to deliver top-notch solutions for your prompt needs. Whether you’re a developer, marketer, or business strategist, this release brings tools that simplify processes, enhance user engagement, and streamline operations.

Key Features of GPTBlue Release N°5.1

Blue Prompt / Agent Ready Prompts

Expiring Prompts

Introducing Expiring Prompts, a feature that allows prompts to run for a specified duration. Whether it’s for a promotional period, a test cycle, or any other time-bound scenario, Expiring Prompts ensure your agents remain efficient and do not get stuck in outdated projects. This is particularly useful in maintaining the relevance and effectiveness of your prompts in time-sensitive situations.

No-Code Solutions

No-Code Function Call for Email

Sending emails from within a prompt has never been easier. With the new No-Code Function Call, you can integrate email capabilities simply by entering your email server credentials. This feature eliminates the need for writing custom function call code, making it accessible for everyone.

No-Code Prompt Script

We now offer a No-Code Prompt Script that you can copy and embed into your website. This feature allows you to conduct market tests, advertise your prompts, and attract new users effortlessly. It’s a powerful tool for engaging with your audience and gathering valuable insights.

No-Code Smart Contract Prompt

While we are not directly involved in Blockchain Technology, we are excited to introduce the Smart Contract Prompt. This tool facilitates intelligent and conditional decision-making in business process flows, enhancing the automation of complex workflows. We are keen to hear your thoughts on key aspects to integrate into this Smart Contract Prompt to make it even more powerful.

Key Benefits

1. Streamline Operations: Expiring Prompts ensure that your prompts run only when needed, reducing clutter and enhancing operational efficiency.
2. User-Friendly Communication: With No-Code Function Call for Email, integrating email capabilities becomes simpler and more accessible, streamlining prompt-based communication.
3. Greater Engagement: The No-Code Prompt Script allows for easy integration into your website, helping you attract more users and conduct market tests with ease.
4. Advanced Workflow Automation: The No-Code Smart Contract Prompt enables automation of complex decision-making processes, increasing accuracy and efficiency in business operations.

Prompt Testing Feature Update

Prompt Versioning Update

We’ve refined our prompt versioning process. New versions will now be generated only after thorough testing and significant content changes, rather than for minor edits like typos. This ensures that your version history remains clean and reliable.

Key Benefits

1. Clean History and High Quality: Only significant, tested changes create new versions, keeping your version history tidy and trustworthy.
2. Efficient Management: Reduces clutter by avoiding unnecessary versions, making prompt management simpler.

With GPTBlue Release N°5.1, we’re committed to providing you with tools that not only enhance your productivity but also ensure a seamless and efficient user experience. We look forward to seeing how you leverage these new features! Keep sending us your feedback, it helps us more than you think.

In part 2, you can read about User Gamification, The Coin Economy, and some Bug Fixes.

The post GPTBlue Release N°5.1: Enhancing Your Prompt Experience appeared first on BlueCallom.

The Stardust release continues to bring groundbreaking features to GPTBlue, and we’re excited to introduce the latest enhancements designed to improve user experience and streamline interactions. Here’s what you can expect from the new GPTBlue Management features:

3.1 Introducing the In-App Feedback System

We’re thrilled to announce the release of the In-App Feedback System, providing a direct communication channel between you, the GPTBlue Community, and our engineering team. This system allows users to report bugs, feature requests or general feedback, which are then reviewed, prioritized, and assigned by our team.

FEEDBACK ICON & LINK
You find the feedback icon on every tile in the system. Click on it and a popup page opens where you can provide the feedback.

Each link is intelligent enough to know which page and which tile you clicked so it is easy for the team to identify the source. Try it out

How It Works

When the feedback popup shows, you would usually share the content with other GPTBlue users so they don’t report the same over and over. But you can switch to “Team Only” so only the BlueCallom support team can see it – red arrow.

Feedback Type
It would be helpful if you can let us know whether you see it as a bug, meaning this most likely needs to be fixed quickly, or a feature request where you have a good idea for an additional feature or function, or a change request where you suggest an existing function should be changed. Finally, you can provide us with any feedback, how you like a feature, find it helpful or not, and so forth. Feedback is the tip in a good restaurant – at least in some cultures (Left blue arrow).

Priority
You can also help us with a priority. Of course, everything is the highest priority. So here is a guidance:
P1  System is cracked, or Security breach.
P2  Top priority, it’s too hard to continue your work on GPTBlue
P3  Need to fixed, implemented, explored as soon as possible
P4  Take your time but let me know what’s up
(right blue arrow)

3.2 Reviewing Your Feedback

You can review your submitted feedback at any time by accessing the “My Settings” button. This section includes your profile, preferences, feedback, and messages. When reviewing your feedback, you have the option to revoke entries, close items that are no longer relevant, or express concerns if something didn’t work out as expected.

3.3 Enhancing Collaboration with Messaging

At BlueCallom, we highly value collaboration and efficient communication. While email is a useful tool, we see the advantage of keeping all Gen-AI related development work and customer interactions in one place. That’s why we’ve introduced in-app messaging. This feature facilitates faster exchanges and includes feedback from users directly within GPTBlue.

Click on “New” to create a message and select a username of a user in the system.and craft your message and send it. Very simple – no overhead.

You see the messages you sent, of course the messages you received. You can reply, forward, stare, delete them.

3.4 Corporate OrgChart for Enterprise Management

In preparation for the GPTBlue Enterprise Edition launch, we’ve added enterprise features such as the Corporate OrgChart. This feature displays the organizational structure of an enterprise, allowing system managers to assign specific roles to users for focused functionalities. In the upcoming releases, we will include enterprise-grade analytics and management dashboards.

In this GPTBlue Stardust release, you can already see the structural design, how easy it is to add organizations, connect them with their next higher organization and allow business units, country offices, and departments to add to any existing unit. Clicking on a unit shows all details including the person responsible. Visibility can be individually set up.

3.5 Chat Mode: A New Dimension of Interaction

GPTBlue now supports a chat mode similar to ChatGPT, allowing users to interact with GPT-4. Unlike public models, GPTBlue is private, and user data is not used for training. Users can ask about previous conversations, thanks to our new “Long-Term-Memory-Brain” function, which retains the conversation over time.

We’re also developing a collaborative chat mode where multiple users can join and leave conversations as needed, including the AI. Initial tests have been impressive, showcasing the AI’s ability to summarize discussions seamlessly.

While initially a nice add-on, we see an interesting use case for multi-participant chats with an AI in team meetings, Team brainstorming with an AI, solution discussion, crisis management, and more. Given other priorities, it will take a bit but it gives you the horizon we are drawing.

3.6 Additional Updates and Fixes

3.6.1 Prompt Removal

We’ve fixed a bug that prevented users from removing prompts from their personal library. Now, you can easily remove prompts using an icon in the library. Your own prompts can be removed in the studio.

3.6.2 User Analytics Update

User analytics have been overhauled. In advanced mode on your GPTBlue IO page, you can see detailed usage statistics, including how often specific prompts were used and your personal usage patterns.

Experience the New Features

Login to or create an account at GPTBlue to explore these exciting new features and enhancements. The Stardust release is set to revolutionize your interaction with GPTBlue, making it more efficient, collaborative, and user-friendly. Check it out today and see how these improvements can benefit your workflows and interactions.

PART 1 and 2

In part 1, you can read about the new custom data model functionality
In part 2, you can read about the transition from Prompts to Agents

BUSINESS MODEL

You may want to create your own full version account. It is free and based on our business model it will remain free. This allows you to scale at enormous speed and not worry about excess license fees. You will receive enough CallomCoins for free to pay for usage. As you use it more often you only purchase coins to pay what you use it for.

GPTBlue Stardust Release

As mentioned in Part 1, GPTBlue Stardust is our first major release. We will continue deploying updates almost daily and summarize it whenever important updates are made. The upcoming webinar on June 27 will give some early indications of what comes next. Hope to see you there.

The post GPTBlue Stardust Release Part 3: Enhancing User Experience appeared first on BlueCallom.

Welcome to GPTBlue Stardust Part 2. With the introduction of our no-code strategy, we started with a no-code custom model feature that makes clear how far no-code can go and supersede any kind of programming language, also in the future. And part of the Stardust Release is also the first prompt that will advance to a powerful multiagent application. 

This new Survey Prompt / Agent is a revolutionary feature set to transform the way organizations gather and process feedback. This feature is also part of another, broader vision of ours: GPTBlue Agents. Leveraging our cutting-edge Agent Architecture to streamline and enhance surveys in general is just the first step. Our future Neuro Agents continue our effort in the Neuro-AI-Fusion research and development work.

Ushering in the GPTBlue Agent Era

The Survey Prompt and Agent are just the beginning of a new era in agent design. Although we’re in the early stages and will announce our full Agent Technology in the coming weeks, the survey prompt serves as a Trailblazer, showcasing the potential of our new architecture.

Agent 001 – For surveys done right. 

Conducting internal surveys to seek inputs for increasing efficiency has been done for decades with only medium to no success. Great successes are rare across industries and countries. One of the biggest challenges are the way teammates articulate a problem, sharing it and how it can be turned into something valuable. Moreover, there are conflicting understandings and conflicting perspectives. Thousands of feedback have been given but it was too hard to make sense out of it. Individual interviews in a company with 1,000 employees and hundreds of issues would generate hundreds of thousands of hard to read feedback. 

Agent 001 is a prompt/agent that can be given to hundreds or thousands of employees with a question like “What are the most boring and time consuming jobs that you would like to give to an AI?”. The response handling of GPTBlue is now profoundly different. It tries to understand the response in the context of the tasks, and shows its understanding back to the user. The user is asked if what the GPTBlue understood is right. If not, the user edits the response of the AI and returns it again. The iterative process can go on for a few more times until the user gives up on himself or the final response from GPTBlue is accepted. The response is not only the understanding but a structured content that can easily be compared with and assessed against thousands of other feedback. This is something that could have never been done before with freeform surveys. But only a free form can return a real problem that may have been completely unknown.

The name Agent 001 signifies that it is the first task any employee should undertake before any AI strategy is even formed.

Like in Part one of the announcement blog post, the Survey Prompt can be selected by a switch and be “programmed” like a prompt in natural language. No coding needed.

The power is in the background when survey responses are evaluated by an AI.

How the Survey Agent Works

The Survey Prompt is a sophisticated, chained BluePrompt that combines human-stimulated and autonomous prompts. It also utilizes function calls for complete execution, ensuring a seamless and efficient process. Here’s a step-by-step look at how it works:

Those who are familiar with GPTBlue know that each prompt object has a specific functionality in the prompt. Here it is the selected Survey Task functionality (blue arrow).
The survey task is “programmed” with No-Code in natural language (English, French, Italian, German, Vietnamese… and many other languages). Two internal prompts handle the process as you see the process below. A second field asks for the manager who will receive the survey report, processed by yet another autonomous prompt.

1. Initial Feedback Request: The first prompt component asks employees for their feedback.
2. Feedback Review: The second prompt component reviews the feedback received.
3. Clarification Check: The third component asks users if their feedback has been correctly understood.
4. Iterative Feedback Editing: Users can edit their feedback in an iterative manner (BluePrompt).
5. Revised Feedback Review: The fourth component reviews the edited feedback and asks if it is now correct.
6. Feedback Loop: This process repeats until the feedback is satisfactory.
7. Storage for Processing: The fifth component stores the final feedback for later processing with another agent.
8. Email Notification: The sixth component (prompt) crafts an email and sends it via function call to a designated survey manager.
9. Further Processing: The seventh component stimulates another agent to assess all incoming survey responses, guiding the process to an AI-generated solution that eventually is built by approximately 5 agents and 30+ internal prompts within the agents.
10. No-Code allows prompts to interact with humans at any given point of time. The human actors stay in control whenever desired. This makes no-code agents as close to humans or as autonomous as the agent users want – not the developer, unless it is suppressed.

No-Code Survey Agent: Available Now

The No-Code Survey Agent as described above is available now. It is another BluePrompt that would not work on conventional GPT systems due to its sophistication. However, it requires no programming skills and can be used out of the box. Just select “Survey Prompt” on, and you can use that prompt/agent like other BluePrompts already do.

Test the Agent

To experience the benefits of the No-Code Survey Agent firsthand, try out our test agent and see how it can restructure your internal feedback processes.

From Prompt to Agent

You just experienced the smooth and gradual path from prompt to agent. The first prompt of that kind was already introduced on Feb 8, when we launched GPTBlue. At that point, Agents were not widely understood so we called them “BluePrompts”. 

New Prompt / Agent Functionality

New Prompt Default Action Instruction Feature

As prompts and agents become more sophisticated, we’ve added a feature allowing prompt authors to provide descriptions and guidance on how users should interact with the prompts or agents. This is done in the GPTBlue Studio during development, ensuring that users receive clear instructions alongside the prompt name, and description in the GPTBlue AI user interface.

New Prompt and Agent Segmentation

After extensive research and user feedback, we’ve completed the business segmentation for prompts. Any prompt can now be classified into up to three segments, such as Management, Marketing, or Finance. This classification is also handled by the prompt or agent author in the GPTBlue Studio.

In the Main Library on the GPTBlue Home, users can search for specific business segments, making it easier to find solutions that match their needs. We encourage all prompt authors to update their prompts accordingly and take advantage of the Prompt Doctor—a library tool that enhances prompt content.

SUMMARY

BlueCallom’s GPTBlue Stardust release is the start of a new era of agent development. Several of our “BluePrompts” were designed like agents but simple enough to easily handle it with no description. Prompt engineers who built highly complex agents needed to code those agents. For us who are committed to ‘no-code’, it took and takes a bit more effort to make no-code agents for any situation. Keep watching our updates. 

PART 1 and 3

In part 1, you can read about the new custom data model functionality
In part 3, you can read about our new “In-App-Feedback” the upcoming Enterprise Edition and more features of this release.

BUSINESS MODEL

You may want to create your own full version account. It is free and based on our business model it will remain free. This allows you to scale at enormous speed and not worry about excess license fees. You will receive enough CallomCoins for free to pay for usage. As you use it more often you only purchase coins to pay what you use it for.

The post GPTBlue Stardust Release Part 2: No-Code Survey Prompt and Agent appeared first on BlueCallom.

 Welcome to GPTBlue Stardust Part 1. This first major release is ushering in a sophisticated no-code approach. Debates over no-code are as old as software development. Whenever it had a peak, a better and more sophisticated programming language entered the scene. But that is profoundly different today: The Programming Language is now our natural language. And this is where no-code really just starts. One of the really sophisticated projects that required data scientists to work on often for weeks are custom data models that are getting embedded into the holy grail of Generative-AI, the Large Language Model. 

We purposely made this very complex task our no-code starting point. Up until very recently, the barriers to implementing custom AI models have been high. It requires specialized data scientists, coding, and significant training time. 

With the GPTBlue Stardust release alone, custom data model insertion is done with a few clicks and the help of a specially trained AI function.

Data, the most valuable ASSET a company possesses

Corporate data is not just great information, it is one of the most valuable ASSETS a company possess – often without knowing. Company Data are more valuable than any machine, manufacturing hall or process. Today those Custom Data are as inaccessible as the iron core of planet earth.

Generative-AI can turn those data into Custom Models for Generative-AI and unfold a wealth of added knowledge, decision support, leadership support, predictability, and more. The GPTBlue Stardust release is a key driver in making those data accessible in an instant. Yes, data may be in a terrible condition, but even that can be cleaned up with the help of AI.

High Speed and Low Cost Like Never Before

The GPTBlue Date Model is one of the most advanced custom model handling systems worldwide. A 100-page document can be processed in about 5-10 minutes, and even a thousand-page document takes no longer than an hour. And it is completely done by an AI. Results are superseding any former manual work.
Equally important is COST. The processing cost for a 100 page document is at about €10 or less. 10,000 Documents can be processed in a week for approximately €50,000.

Precision and Control at Your Fingertips

Not only is the process faster, but the accuracy is also significantly improved. Our AI-driven training on GPTBlue has consistently outperformed traditional manual model fine-tuning. This means more reliable and precise models, ready to deliver actionable insights immediately upon completion.

Moreover, the no-code approach extends flexibility in how these models are deployed within your organization. You can define access controls with ease, deciding who can use the model—whether it’s a specific user, department, business unit, country, or even globally. This ensures that the right people have the right tools at their disposal.

Real-World Applications: 

ESG Compliance and Corporate Innovation

To illustrate the transformative potential of this technology, let’s delve into two noteworthy tests we’ve conducted.

ESG Compliance Report Quality

We uploaded a publicly available ESG compliance report (80 pages) and turned it into an AI-accessible model. By developing specific prompts, we could probe into various areas of the report, assess its quality, and make improvement suggestions. The results, verified by ESG experts, were met with excitement and astonishment at the depth and precision of the insights.

New Corporate Data Integration Process

Previously, creating a custom model took a data scientist one week of setup and training. With our new method, the same process took only seconds to upload the data e.g. 100 page document and 10 minutes for automated training through an AI-Routine. The alert “Training Completed” marked the model’s readiness, delivering far superior results compared to our earlier attempts.

The new Data Modeling System is Available Now.

The GPTBlue Stardust release is now available for everyone to test. One anchor functionality is the new Custom Modeling feature, we encourage you to test. See firsthand how it can transform your business operations. Here are two ways to test it on your own.

1. USE THE DEMO
   Use the demo prompt, where a report was already uploaded and ask questions regarding the ESG Report. Here you find the publicly available Syngenta ESG report
   Just a few random items you want to assess:
   * Syngenta Fair Labor Program
   * Innovation in Agriculture and its Management Approach
   * GHG emissions and its Management Approach
2. CREATE YOUR OWN
   * Go to the GPTBlue IO, switch to “advanced” mode and make your own copy of the demo prompt.
   * You will automatically land in the GPTBlueStudio and have the prompt as source code accessible. You will notice it is on Auto Save, OpenSource, and Custom Model enabled.
   * Click on “Manage Model” and a popup page opens where you can upload your own document (PDF), see red arrow. Then click Save and Train. The AI accessibility may vary so it may take a bit when jobs are scheduled. It may take up to 10 minutes to train the model.
   * You will see the Training Status below, see blue arrow.
   * If you need to pass more documents to the same model, just add more to that same model.
   * If you have multiple models, select the one you want to retrain or remove., see green arrow.
   * You have different access levels within your organization, or you can make it public.

SUMMARY

BlueCallom’s GPTBlue Stardust release represents a major leap forward in the world of Generative-AI, offering unprecedented ease of use, speed, and accuracy. By removing the barriers of coding and extensive training, we’re empowering businesses to leverage AI like never before. 

PART 2 and 3

In part 2, you can read about the transition from Prompts to Agents
In part 3, you can read about our new “In-App-Feedback”, the upcoming Enterprise Edition, and more features of this release.

BUSINESS MODEL

You may want to create your own full version account. It is free and based on our business model it will remain free. This allows you to scale at enormous speed and not worry about excess license fees. You will receive enough CallomCoins for free to pay for usage. As you use it more often you only purchase coins to pay what you use it for.

The post GPTBlue Stardust Release Part 1: No-Code Custom Models appeared first on BlueCallom.

Why we’re All-In on No-Code – We are coming from a long era of coding software. Theoretically, we would all want to protect our knowhow assets. Yet, the debate around the future of “code” versus “no-code” is more heated than ever. The advent of Generative-AI has introduced a paradigm where prompts can be seamlessly integrated with Python-coded software. Is that a good compromise?

The Technical Difference

No-Code: This approach means that every action is described in human language, and the AI translates it into results. Essentially, this is the core of writing prompts – clear, concise instructions that the AI can understand and act upon.

Code: In this scenario, agents are created by coding in Python, C++, ColdFusion, JavaScript, etc. that eventually forms a complete agent. Conventional software developers may argue that this offers greater flexibility, being more detailed on a specific functionality and able to craft features that perfectly match the process. The BlueCallom experts argue that this is what made conventional software stiff, inflexible, and very hard and expensive to adjust in a larger setting. This is why we aim to move away from these inflexible and usually linear solutions.

By offering highly specialized prompts, we provide a level of accuracy and flexibility that is more accessible through human language rather than code. While this debate will continue for years, we are committed to making the future a reality today.

Our Position on No-Code

At BlueCallom, we believe that while coding will remain a part of Generative-AI for some time, it is not the future. Rather than diverting our focus to build code-based prompt components, we are investing exclusively in no-code solutions for all our projects. However, we respect and support our development partners who may choose to use either or both approaches.

Practical Application: Building Complex Agents

We are currently developing a sophisticated “Agent” architecture where one can compose approximately 10 advanced prompts, action items and more. These prompts operate in series and parallel, some requiring human intervention and others functioning autonomously. Should in rare instances coding be necessary, we developed a “code container prompt” that can encapsulate code in a way that it can be used by an agent designer without coding experience.

The Natural Language Compiler

At the heart of our innovation is GPTBlue, which acts as the highest-level computer language humanity has ever had: a Natural Language Compiler. Similar to previous high-level language compilers, this technology translates human language into executable instructions. This advancement brings us closer to a long-held dream: eliminating the need for coding and enabling users to simply tell the machine what they want.

As we navigate the future of technology, our commitment to no-code solutions represents a significant leap forward. By simplifying the interaction between humans and machines, we are making advanced technology more accessible and paving the way for a future where natural language is all you need to create the solutions you have in mind.

The post Why We’re All-In on No-Code appeared first on BlueCallom.

The BlueCallom community is the heart of our business. Without our dedicated customers and their engagement, we wouldn’t have the insights needed to validate and grow our company. That’s why the BlueCallom team decided to dedicate this blog post to the GPTBlue users and those working closely with BlueCallom.

Our users have shared their experiences, ranging from online Boot Camps to BlueCallom webinars, and their thoughts on GPTBlue features. These testimonials highlight the diverse ways people benefit from our platform.

Diverse Users, Unified Experience

GPTBlue users come from various countries, industries, and backgrounds. Despite these differences, they all find value in GPTBlue’s ability to facilitate collaboration, learning, and experience-sharing in the AI-driven world.

Finance Industry Insights

Stephane Janin, a GPTBlue user from the finance sector, participated in the Prompt Engineering Boot Camp. He found the GPTBlue Development system particularly beneficial. One notable exercise involved using conditional prompts to match job candidates to descriptions by simply uploading a CV and hitting return. This process exemplifies how HR departments can increase efficiency and save resources.

Project Management Enthusiasm

Neetesh Bhargava, a Global MBA and project management expert, was impressed by AIGlazz, an AI-specific UI/UX designed to enhance generative AI usage. He praised the GPTBlue library for its user-friendly design and easy access to filtered prompts based on topics, authors, and usage.

IT Sector and Recruitment Feedback

Julian Meissner, an IT professional, highlighted the measurable prompt productivity from BlueCallom webinars. He appreciated that the prompts require no additional research or specialized education, delivering over 10 times the productivity of manual work. Julian also expressed gratitude to BlueCallom speakers Axel Schultze and Christian Weh for their clear explanations of the tool’s technical and applicative aspects.

Sales and Strategic Advisory Perspective

Michael Waniek, a sales professional and Strategic Advisor, finds the power of GPTBlue prompts fascinating. He views GPTBlue as a game-changer with untapped potential, anticipating that Gen-AI will lead to groundbreaking answers in the future.

Digital Investor Insight

Walter Adamson, a digital investor, emphasized the innovative capability of GPTBlue in distributing AI solutions seamlessly across different departments and even between organizations, marking it as a significant breakthrough.

Entrepreneurial Perspective

Xenia Vogt, an entrepreneur, found immense value in the GPTBlue Boot Camp, noting that it enabled her to create tailored AI agents that perfectly align with specific needs and contexts. She sees this as a transformative tool for anyone thriving in an agile environment.

NGO Sector Efficiency

Users from NGOs noted that GPTBlue significantly increases efficiency by creating prompts that reduce repetitive tasks and boost productivity, addressing the time and resource constraints typical of conventional methods.

Popular Features

The BlueCallom Prompt Intelligent Distribution feature has received the most “likes.” Prompts can be shared with a unique URL, ensuring the author receives credit and commission for new users who execute the prompt. This feature also supports user referrals, enhancing community engagement and providing additional bonuses.

Continuous Improvement

BlueCallom regularly releases new GPTBlue features. Recent updates include prompt history, versioning, library management, detailed actions in public libraries, and user referrals and connections. Stay tuned to discover what’s next with GPTBlue.

GPTBlue Users: The Value of Community

The BlueCallom team deeply values every piece of feedback from our GPTBlue users. Your input helps us continuously improve our services and user experience. We welcome and appreciate your thoughts, whether shared with the BlueCallom audience or your personal contacts.

The post GPTBlue Users: The Value of Community appeared first on BlueCallom.