BluePrompt – a new strategic technology for more sophisticated business prompts
Prompt IP Protection – and Open Source options when distributing prompts
Intelligent Prompt Distribution – ensuring recurring revenue  for prompt authors
Prompt Cost Estimation – Approximate cost calculation prior to prompt execution
Recurring Revenue for Prompt Authors – Prompt authors now determine their own price
Autosave feature – BlueCallom Prompt studio follows user suggestions.

BLUE PROMPTS (STRATEGIC TECHNOLOGY)

As you know, we see prompts becoming the most strategic Mind-Machine-Connectors. As such it became a strategic Technology at BlueCallom. Prompts are the foundation for Neuro-AI-Fusion and the smallest common denominator in a business task.

Some prompt objects in BlueCallom are unique to our platform. For instance, you can edit the response of the GPT system. This is currently only possible in BlueCallom. Over time we see many more of those enhancements. To make it more visible and also make clear that those prompt objects would not work on a Chat system like ChatGPT, we flag those objects as “BluePrompt Objects” and flag the prompts as BluePrompt. You can see them in the library with the little brain icon in your personal library.
The unique BluePrompt features include:
– Function Calling
– Custom Models
– Iterative Prompts
– Data Handling
As we advance with our technology we will add further intelligent prompt objects.
Already in the next few weeks, we will add “Expiring Prompts”, “Prompt Tags” and “Fixed Data Prompts”. Later this year you will get a series of far more complex BluePrompts for more sophisticated tasks.
KEY BENEFITS
1) You get additional power from BluePrompts that is not available by only using a chat system
2) You still have the underlying power of Open AI’s GPT model which we are using
3) The BluePrompt Architecture is designed so that your data will never be stored at any LLM

PROMPT IP PROTECTION & OPEN-SOURCE
(STRATEGIC TECHNOLOGY)

Prompts get sold for pennies by the hundreds. This is great to start but not a sustainable model for high-quality business prompts. At BlueCallom no prompt will be visible to the end user unless the Prompt Author decides to make it available as Open-Source Prompt. When you started with BlueCallom GPTBlue, all prompts were protected, you could share it with anybody by simply deploying the prompt on a public library or share it individually. So your Prompt IP was protected from day one.

As of today, you can make prompts Open-Source. This is not just great for collaboration with more people, but also help your clients understand how prompts get designed and inspire them to more sophisticated prompts. Moreover, you can share open-source prompts to show people what it takes to make high-performance, high-productivity prompts. Such an insight will put the build or buy question in a whole new light.

From our own experience, one of the most sophisticated prompts we built was for a financial services organization and it saves them approximately €15 to 20 Million each year. Four people including a high caliber financial industry consultant worked for three days on eight different prompts that had been combined into one. Our IP is protected and pricing had to be quite different.

Another experience was during the last three GPTBlue Boot Camps. Attendees needed to know what is inside the prompts we shared and the sharing was cumbersome. Now we can share those prompts as open Source and the can use it right away to learn from.
KEY BENEFITS
1) The IP protection is an obvious value. Not only for Prompt Authors but also for any organization as the prompt content is only known to a small group of prompt authors. The internal IT data security risk is still very present.
2) The Option to make a controlled Open Source version of prompts, is a great benefit when content shall be shared, used for education, or collaboration.

INTELLIGENT PROMPT DISTRIBUTION
(STRATEGIC TECHNOLOGY)

Another strategic technology we are introducing in GPTBlue Update April 2024/1, is “Intelligent Prompts”. With this new release, you distribute prompts with a unique URL. With that, the prompt carries the author’s name and the user status with it. That way a user, who “finds” such a prompt in the public can execute it. Those prompts are by default protected so nobody can see the inner workings of your prompt. Yet the author will know that a new user uses the prompt and will be paid its commission.
Moreover, if a person who is not yet a user finds such a prompt and activates their new account, the referral key is also activated so the author gets a referral fee and the new users an additional bonus.
Imagine you create prompts and share them freely on the Internet. As soon as somebody likes it and uses it, not only you get the commission for the use, you also meet your customer digitally. And the user can provide feedback that will be routed to you, no matter how many partners or people may have been in between that transaction.
KEY BENEFITS
1) You can now share any prompt on the internet and will be paid for any execution of that prompt.
2) The new intelligent prompt distribution is for Open Source prompts as well as IP Protected Prompts.

BlueCallom IO
AVERAGE PROMPT COST and ACTUAL PROMPT COST

In the GPTBlue Update April 2024.1 release, users will see an average prompt cost based on the prompt cost history. That way the user will know the approximate cost before they start it. Some of our more complex prompts, when using our internal Function Calls cost already ~5,000 coins, which is €1.50 without any premium.
With this new step – we make another leap in prompt cost transparency.

More Prompt Cost Transparency 
Creating a prompt is no rocket science. On the other hand just slapping together some questions won’t do the Generative AI  justice. The perceived savings of millions of Euro/Dollar/Franks does not quite come for free, but still with an instant ROI.
Prompt Authors in particular the most creative ones won’t be able to do prompts for pennies and cents.
KEY BENEFITS
1) You won’t be surprised by the cost of the prompt execution. And as prompts will soon make quite some leaps in cost, it is important to have that cost under control.
2) As prompt cost will rise with the significant quality improvements prompt analytics will need data that we deliver.

BlueCallom Studio
RECURRING REVENUE FOR PROMPT AUTHORS

Another cool feature of the GPTBlue Update April 2024.1 release is the ability of prompt authors to set a premium for their development work. That premium is paid every time a prompt is executed. Obviously those prompts are not kitchen recopies or email text writer prompts but those who develop complete business models, making a sound cashflow analysis, interacting with CRM or ERP systems and more. Usually it even takes some BluePrompts to make the function work so that customers pay the premium. At present the premium is between 1 cent and €/CHF 1,500 or equivalent currency.
The beauty of all those prompts is the ability to calculate the prompt productivity. The calculation is still the same. An estimated time the manual task would take of the 10 seconds for running the prompt and maybe a minute or two to fill in the required content.
KEY BENEFITS
1) Prompt Authors won’t need to “sell” their prompts but make them available in a pay-per-use model
2) Prompt Consumers won’t need to sign up for system subscriptions but only pay as they use it and gain productivity
3) Companies won’t need to go for complicated budget planning as a prompt must deliver an instant ROI and can be measured and compared with the cost
4) In this circular economy on the digital front, Prompt Authors are incentivized to maintain their prompts and increase their value over time. Moreover they get feedback from their users so they are so close to the market – like with no other product.

BlueCallom Studio
AUTOSAVE  FOR POWER PROMPTER

We received several requests from power users to make saving prompt objects easier. Thanks for the request and here is the new solution and already implemented in the current release:

When in the BlueCallom Studio, you can switch “Auto Save” at any time on or off.
When autosave is “ON”
No need to manually save any entry. It is saved automatically as soon as you leave the input field.
Suggestion: If you edit an important prompt, keep autosave OFF (see below).
When autosave is  “OFF”
You save the prompt title and description with a separate save button as this is not part of the actual prompt. Then you can select any of the Prompt Objects and save manually one after the other or all together or any variation.
When EDITING a prompt you may use “Reload Page” as an emergency exit for when you are not sure whether all the changes you made are really good or you where distracted. The changes are only saved when you hit “save”.
KEY BENEFITS
1) You wanted it we built it – this is probably the biggest benefit
2) Now you know we listen and respond – and we will try very hard to keep it that way.

The next update GPTBlue Update April 2024.1 is already around the corner
Those who join the upcoming GPTBlue Boot Camp will see the Roadmap for 2024

Thanks you all. If you have any suggestions, please let us know. Feel free to post your response here in the comments.

#promptengineer #generativeai #promptip #promtcost #promptauthor #gptblue

The post GPTBlue Update April 2024.1 appeared first on BlueCallom.

Sorry, there is no better. They are just different. Both use the same OpenAI large Language model.
The key question is: Do you prompt for yourself or do you create prompts for others in a business environment”?

ChatGPT

When you write prompts for yourself, you may prefer ChatGPT.
Why? it’s quick and you polish it until the results are good for you.

• Your prompt library is a long list accessible only to you.

GPTBlue

When you create prompts for others, you may prefer GPTBlue.
Why? It’s usually in a business environment, where you compose prompts for others.

• Productivity gain must be visible and measurable.
• Prompt Composition allows us to develop unique prompt features.
• Library networks are key in larger organizations. It’s part of GPTBlue today.
• Partner integration and productivity induction is becoming a strategic advantage.
• Analytics will help you and your users better understand the performance.
• Business Model allows prompt designers to sell the prompts with recurring revenue.
• Future Evolution looks like prompts will evolve into entire applications.

Learn more about this feature-rich solution on the GPTBlue web page.
If you develop prompts for other’s, try it out  it’s free

ChatGPT versus GPTBlue

It boils down to prompting for yourself or designing them for others as profession.

ChatGPT versus GPTBlue Architecture

GPTBlue is leveraging the Open AI Large Language Model (LLM) and its, Generative Pretrained Transformer (GPT). The value-add comes from an AI-Native application that sits on top of it. The prompt framing architecture frames the prompt functionality given by the LLM but allows additional prompt design features on top of it. The prompt composer

GPTBlue AI Network

Now, here GPTBlue goes really crazy. Based on the needs of some very large customers we developed a unique Gen AI Application Network. It started with the question how can we better deal with the rapid proliferation of prompts where nobody knows who has them, who wrote them and are they productive? A multi library network was a starting point. Rules for certain prompts to deploy to specific libraries only. The integration of business partners was next. It ended up with thousands of users, hundreds of libraries, central observation and decentral management. You will find more in our case study, available Beginning of March.

Because we are a highly productive AI company, we have far more time for our customers

#AI #GenAI, #PromptEngineer #Prompt #GPTBlue #BlueCallom #ChatGPT #PromptLibrary #PromptProductvity #PromptAnalytics

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In 2023, Generative AI marked a significant milestone in AI’s evolution, with an impressive user base of around 200 million on ChatGPT alone. This year symbolizes the inception of a new era in software development, transcending the earlier transition from on-premise software to Software as a Service (SaaS). AI is not just altering the software delivery model; it’s reshaping the very foundations of software design. What began in AI consumer software is transforming business software in 2024, signaling a new software paradigm.

The Challenge with Conventional Business Software

The complexity of business software, especially in larger organizations, has reached a point of critical reflection. Many executives and board members express concerns about its evolution over the next decade. The appetite for “monster software” investments is waning. The business world, including mid-sized and small enterprises, is in dire need of simpler, faster, and less complex tools.

The Future of Business Software – a significant deviation.

Today, AI, particularly Generative AI, appears as the logical solution to remove complexity. However, it’s not about replacing one type of software with another. It’s about understanding the unique capabilities of Generative AI. Unlike conventional software, designed in a sequential linear fashion, our brains operate differently. Our Neuro-AI-Fusion model was developed to mirror the human brain’s creativity and ingenuity. This approach has enabled teams to generate disruptive innovations in weeks instead of months, potentially revolutionizing software development itself.

On January 29/30, 2024, we’re excited to introduce Neuro-AI-Fusion to Prompt Engineers at our Prompt Engineering Boot Camp. We’re transforming PROMPTS into AI Components within BlueAICONs – easily connectable, replaceable, adjustable, and maintainable structures. These represent a radical departure from conventional software design, evolving into an AI Application Network accessible to all employees, regardless of technical expertise.

Introducing GPTBlue: The Core of AI Components

At the heart of AI Components is the PROMPT – the crucial element for AI understanding and execution. Developing, testing, and deployment cycles are key to creating effective prompts. GPTBlue, our professional Prompt Management System, caters to these evolving professional requirements. Imagine having the capability to personalize responses to social media posts rapidly or to intelligently sort through hundreds of job applications – all with a single prompt in GPTBlue.

Now – Think of Professional Social Media Support functions. We are having a way to comment on 50 posts within minutes with a post-specific and very personal touch. A post Comment Creator Prompt can do that. In our system, it is a single prompt.
Or think of your Talent Development Team, needing to review hundreds of job applications. Having a way of letting the AI do a first match and a smart ranking and rating instead of just a “go or no go” is of great help. Also, this is a single prompt created on GPTBlue.

We have developed nearly 100 powerful prompts, shared as source code for customization in GPTBlue. These prompts span various departments, offering significant efficiency and productivity boosts.

To make it easy for any starter, we crafted approximately 10 Delta Prompts for every typical department we came across. We classify prompts into different groups. For instance, A DELTA PROMPT is a powerful prompt that makes a difference and specifically increases efficiency and productivity.

Developing Your Own DELTA PROMPTS with GPTBlue

GPTBlue DTD is our development, testing, and deployment engine for crafting powerful prompts. This new approach to AI application development is suitable for enterprises and small businesses alike. BlueAICON Prompts can be shared electronically, simplifying the process for end-users who receive tailored, case-specific results.

A New Era of Professional Prompt Engineering, Testing, and Deployment

Consider a business scenario where GPTBlue PFD-Stations (Prompt Framing Designer) are used internally and by external partners. These powerful prompts can be customized for different markets or business needs. With version control, history management, and other features, GPTBlue PFD is a comprehensive tool for prompt development and management.

The GPTBlue PFD (Prompt Framing Designer) is the heart of prompt development. However, larger organizations with country offices, departments, business units, and possibly external business partners need a far more organized way of generating, releasing, and deploying Prompt or AI applications.

BlueCallom’s GPTBlue Network Architecture was developed to serve large enterprises and networked sales channels. The end users in departments or partners around the world don’t need any training, A BlueAICON will deliver its own help and support info as part of the prompt to the user. A sophisticated billing system is integrated into the corporate deployment network so departments can be charged individually based on the usage of the AI system which is part of the overall cost.

The Future of BlueAICON

BlueAICONs represent a sophisticated level of prompts, functioning as AI Components Over Networks. These include supportive information, visual aids, and user rights, and can act as Edge Computing Clients. Our focus on leveraging edge computing will be a significant aspect of our future developments.

Partnering with Professional Prompt Engineers and Consultants

Through BlueCallom’s Business Partner Program, businesses of all sizes can harness the power of the GPTBlue series. This includes developing professional prompts, deploying them to customers, and offering support and maintenance services.

[su_button url=”/bluecallom-business-partner/” target=”blank” background=”#ffffff” color=”#007abb” size=”8″ wide=”yes” center=”yes” radius=”5″ icon_color=”#f8f8f8″ text_shadow=”0px 0px 0px #000000″ class=”font-weight: 900″]Read more about partnerships[/su_button]

Join the Future of Business Software

This is an exhilarating time at BlueCallom. With the launch of GPTBlue, we invite you to join our journey, share your ideas, and influence the future of BlueCallom. Be part of our community in the World Innovations Form and engage with the BlueCallom “Circle.”

We welcome your thoughts, preferences, and suggestions for improvement.

Thank you,

@AxelS

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