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Amol Ghemud Published: November 21, 2023
Summary
This is the announcement of Custom Chat GPT, a new development allowing users to tailor Chat GPT to their specific needs without extensive coding knowledge. It simplifies creating GPTs for various uses, including internal company needs, personal use, or public exposure, with applications ranging from web searching to data analysis. This initiative aims to foster community creativity, with a forthcoming GPT Store to feature and monetize popular GPTs, ensuring privacy and security in its use.
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It’s the universe of Chat GPT and we are just living in it. There’s a brand new development in this universe that will redefine the way we work – Custom GPT. Now, it’s easy to create your own GPT and it doesn’t require you to be an expert coder. ทดลองสล็อต PGบ้านผลบอล
The procedure is easy to follow, regardless of whether it’s for internal company requirements, personal usage, or public exposure. Simply strike up a discussion, give directions and additional information, and specify what you want it to accomplish—web searching, image generation, data analysis, etc. ยักษ์888
How does Chat GPT work for you?
You can tailor ChatGPT to a particular use
GPTs give ChatGPT more personalization options so you may design it for a particular use. Ever since ChatGPT launched, users have indicated that they would like to personalize their ChatGPT experience to better meet their unique requirements.
Recognizing the commitment of super users who painstakingly selected prompts and instructions and manually entered them into ChatGPT, they created GPTs to streamline the procedure. GPTs take care of all of that for you now.
The community will come up with the best GPTs
The most amazing GPTs will come from the community’s inventiveness and inventiveness. It doesn’t take coding knowledge to make and distribute your own GPT, whether you’re a coach, educator, or just someone who loves making practical tools. With a diverse community of builders at their disposal, amazing GPTs could be possible. The community will come up with the best GPTs.สล็อต88
The GPT Store will launch soon
You are now free to make your own GPTs and distribute them to other people. Soon, the GPT Store will feature works by certified builders. GPTs can even go up on the leaderboards and become readily searchable after they are added to the store.
Not only that but get ready to steal the show! They will be showcasing the most entertaining and helpful GPTs in a number of categories, including productivity, learning, and “Just for fun.” This is a game-changer: in the upcoming months, you will have the chance to get paid according to how well-liked your GPT is. It’s an excellent approach to benefiting the community and demonstrating your creativity and knowledge.ผลบอลสด7m888 ราคา
Make your Chat GPT Public
You can keep your custom GPTs private for your own use and share them publicly. A public version allows a wider audience to access and interact with the AI, which can be particularly beneficial for educational, informational, or entertainment purposes. ไฮดร้า888
At upGrowth, we created custom Chat GPTs for various businesses
The Strategy Navigator, a custom GPT has been developed by the industry expert Amol Ghemud with the primary goal of assisting founders of D2C businesses in creating well-structured annual goals.
Check out Strategy Navigator for your business
Another Custom Chat GPT is exclusively designed for the food tech sector. Consider this as a tool that will assist you in building and executing effective personalized social media strategies for your food business. หมูบิน168
Check out the Food Tech Strategist here
The GPTs are created considering security and privacy
Regarding our cutting-edge GPTs, your privacy and security are paramount in the ChatGPT universe. You may use ChatGPT with complete confidence, knowing that all of your data is under your control—your private discussions with GPTs are not disclosed to anyone. You are responsible for determining whether data can be transferred to a third-party API if a GPT integrates them.
Builders can decide whether user chats with their GPTs help train and enhance our models when they add particular actions or information to them. Your ability to opt your entire account out of model training is one of the privacy measures currently available, and these alternatives enhance it.
ChatGPT has put additional procedures in place to check GPTs against our usage standards to increase your safety further. To stop the spreading of damaging GPTs—whether they involve hate speech, adult themes, or fraudulent activity—these technologies operate in concert with the current security measures.
Builders can now offer an additional layer of confidence by authenticating themselves, which helps to foster trust. Our reporting option on the GPT sharing page lets you quickly alert the ChatGPT staff if you ever have issues with a particular GPT. As ChatGPT and GPTs develop, your safety, control, and privacy will always come first.
GPTs can be integrated into the actual world by developers
Now that developers may easily link GPTs to the outside world, a whole new range of options is available to them. It is possible to create custom actions by exposing one or more APIs to the GPT, in addition to using our built-in features. View these activities as dynamic add-ons that enable GPTs to interact with the outside world in novel ways and incorporate external data.
Imagine putting GPTs into emails, linking them to databases, or even having them serve as your personal shopper. The possibilities are endless. Imagine being able to sync with a user’s email inbox, integrate a travel listings database, or easily manage e-commerce orders.ทดลองเล่นสล็อต
These actions’ adaptability and versatility are what makes them so beautiful. Taking cues from our plugin beta, actions are designed to give developers more control over the model and how their APIs are orchestrated. The smooth integration of your current plugin manifest to specify actions for your GPT makes moving from the plugin beta easy.
Custom GPTs democratize AI creation, allowing you to build a specialized version of ChatGPT without writing a single line of code. This moves beyond generic interactions to create purpose-built tools that align with your specific workflows and knowledge domains. The main advantage is efficiency through specialization, as you no longer need to manually input detailed instructions or prompts for every session. For instance, a GPT pre-loaded with your company's brand guidelines can instantly draft marketing copy that is always on-brand. This is achieved by:
Providing initial instructions in plain language.
Uploading supplementary knowledge files for context.
Selecting capabilities like web browsing or data analysis.
This tailored approach, as seen with tools like the Strategy Navigator, means you can build assistants that understand your unique context, saving time and improving the quality of outputs. Explore the full content to see how this simple process is changing professional workflows.
The decision to make a GPT public or private hinges on your primary objective: brand visibility versus internal efficiency. A public GPT serves as a marketing or educational tool, demonstrating your expertise and attracting a wider audience, while a private GPT is designed to streamline internal processes by securely accessing proprietary company information. Choosing the right path involves evaluating your goals. A public model, like the Food Tech Strategist, showcases industry knowledge. A private model could be trained on your internal sales data to assist your team. Key factors to consider include:
Audience: Is the tool for customers or employees?
Data Sensitivity: Does it require access to confidential information?
Goal: Is the aim lead generation or operational improvement?
Strategically aligning your GPT's visibility with its intended function is crucial for maximizing its value. Learn more about deploying these tools by reading the full piece.
The Strategy Navigator, developed by upGrowth expert Amol Ghemud, is a prime example of a Custom GPT solving a highly specific business challenge. It directly assists D2C founders in structuring their annual goals, a task that often requires specialized strategic insight. This approach is effective because it moves beyond generic business advice to provide a guided, interactive framework. The GPT acts as a dedicated consultant, pre-loaded with expert knowledge on D2C strategy, to help founders translate their vision into an actionable plan. Instead of a static document, the founder engages in a conversation, allowing the AI to ask clarifying questions and tailor its guidance. This targeted application demonstrates how GPTs can package high-level expertise into an accessible, on-demand tool, making professional strategic planning more available. The full article explores other industry-specific examples.
The introduction of the GPT Store signals a major shift toward a creator economy for artificial intelligence. It will function much like an app store, enabling anyone to build, share, and potentially monetize specialized AI assistants without needing a massive software development budget. For businesses, this means a marketplace of affordable, niche AI tools for everything from productivity to education. The key implication is the commoditization of specialized AI, where verified builders can earn revenue based on their GPT's popularity. This will likely lead to:
A surge of highly creative and useful GPTs from the community.
Leaderboards and categories making the best tools easily discoverable.
A new revenue stream for experts who can package their knowledge into a GPT.
This model lowers the barrier to entry for AI development and could create a new ecosystem of AI-powered micro-services. Discover more about this evolving marketplace in the complete analysis.
The Custom GPT framework is designed with user privacy as a central principle, giving you direct control over your data. Critically, your private conversations with any GPT are not shared with the builder who created it. This separation ensures that your interactions remain confidential. The system provides clear controls for managing your information. You have the ability to determine if data can be sent to third-party APIs if a GPT uses them, and you can opt your entire account out of being used for model training. Key privacy features include:
Confidential Chats: Builders cannot see your conversations with their GPTs.
User Control: You decide if a GPT can send data to external services.
Training Opt-Out: You can prevent your data from being used to train future models.
These measures create a more secure environment, allowing you to use specialized tools with confidence, knowing your data remains under your authority. The full text offers a more detailed breakdown of these security protocols.
Deploying a private Custom GPT for your team involves a focused, strategic approach rather than a complex technical one. Start by identifying a high-frequency, repetitive task that consumes significant time, like answering common HR questions or summarizing customer support tickets. The goal is to target a narrow, high-impact problem first. Here is a simple plan:
Identify the Use Case: Pinpoint a specific workflow. For example, a "Policy Helper" GPT for new employee onboarding.
Gather Knowledge: Compile all relevant documents, such as your company handbook, policy PDFs, and FAQs, into a central folder.
Build the GPT: Start a conversation with the GPT builder, clearly stating its purpose. Instruct it to act as an HR assistant and upload your knowledge files.
Test and Refine: Have a small group of employees test the GPT. Use their feedback to refine its instructions for better accuracy.
Share Internally: Once it performs reliably, share the private link with your entire organization.
This methodical process ensures you build a tool that delivers real value. Learn more about other business applications in the full article.
A community-driven approach is critical because it unlocks a diversity of thought and expertise that a single company cannot replicate. By enabling anyone, from educators to D2C founders, to build their own GPTs, the platform taps into niche knowledge and real-world problems that a centralized development team might overlook. This signals a future where AI development becomes more democratized and collaborative. Instead of a few large entities building general-purpose models, we will see a vast ecosystem of specialized tools created by the people who need them most. The success of platforms like the Strategy Navigator proves that domain experts are best positioned to create valuable, targeted applications. This open model accelerates innovation by:
Sourcing ideas from a global user base.
Addressing a wider range of specific use cases.
Creating a competitive environment where the most useful tools rise to the top.
The reliance on community creativity suggests that the next wave of AI breakthroughs will come from the users themselves.
The Food Tech Strategist GPT exemplifies how a tailored model can transform a complex, time-consuming task into a streamlined, interactive process. Instead of starting from scratch, a food business owner can use this tool to generate effective social media strategies by leveraging a pre-configured expert system. The GPT is already equipped with knowledge about the food tech sector, marketing trends, and platform-specific best practices. It demonstrates its power by automating the initial research and ideation phases of strategy creation. It can suggest content pillars, identify target audiences, and even draft sample posts aligned with a restaurant's brand. This is far more efficient than a general AI because its scope is intentionally narrow, leading to more relevant and actionable outputs. This specialized tool proves that custom AI is not just about convenience but about embedding expertise directly into a workflow. The full article highlights more ways these tools are being applied.
The most common mistake new creators make is providing ambiguous instructions and an inadequate knowledge base. A GPT's performance is a direct reflection of the quality and specificity of the guidance it receives; vague prompts like "act as a marketing expert" will yield generic results. To avoid this, creators must think like a programmer defining a function's parameters, but using natural language. Stronger builders avoid these pitfalls by being highly specific. For example, instead of a broad instruction, they would write, "You are a social media copywriter for a B2B SaaS brand targeting fintech startups. Adopt a professional yet witty tone." To ensure your GPT is effective:
Be Explicit: Clearly define the GPT's role, persona, and constraints.
Provide Rich Context: Upload relevant documents, examples, and style guides.
Iterate and Test: Continuously refine your instructions based on the GPT's test outputs.
A well-defined scope is the key to creating a truly useful AI assistant.
The rise of custom AI assistants will not replace consultants and strategists but will instead reshape their roles toward higher-value activities. These tools can automate the foundational aspects of their work, such as initial data gathering, framework creation, and drafting preliminary plans. This allows human experts to focus on complex problem-solving, client relationships, and nuanced strategic implementation. For example, a consultant can use a custom GPT to quickly generate a baseline market analysis, freeing up their time to interpret the findings and provide bespoke advice. This trend will likely lead to:
Democratization of Expertise: Basic strategic advice becomes more accessible via tools like Strategy Navigator.
Shift in Value: Human experts will be valued more for their judgment and experience than for their knowledge recall.
New Business Models: Experts can scale their knowledge by creating and selling their own GPTs.
Professionals who adapt by incorporating these tools into their workflows will find their capabilities augmented, not obsolete.
Actions are a powerful feature that allows a Custom GPT to connect to third-party APIs, transforming it from a closed-system chatbot into an active agent. This enables the GPT to pull in real-time information or trigger processes in other software, moving beyond its pre-existing knowledge base. For example, an action could let a GPT connect to a company's internal database to answer a sales query or integrate with a travel API to book flights. This is achieved by defining an OpenAPI schema that tells the GPT how to communicate with the external service. This capability is what allows for the creation of truly dynamic and useful tools by:
Accessing real-time data (e.g., stock prices, weather).
Integrating with business software (e.g., CRMs, project management tools).
Performing tasks in the real world (e.g., sending emails, making reservations).
By connecting to the outside world, actions elevate Custom GPTs from simple information synthesizers to functional assistants. Dive deeper into these advanced capabilities in the full post.
An educator can create a powerful teaching assistant by following a structured, non-technical process. The key is to clearly define the GPT's role and provide it with curated, accurate information to ensure it delivers reliable explanations. This method focuses on instructional design rather than coding. A successful approach includes these steps:
Define the Persona: Start by instructing the GPT to act as a patient and encouraging science tutor for a specific grade level.
Set the Scope: Limit its expertise to a specific subject, like biology or chemistry, to prevent inaccurate responses on other topics.
Upload a Knowledge Base: Provide the GPT with approved materials like lecture notes, textbook chapters, and educational websites.
Specify Interaction Style: Instruct it to use analogies, ask guiding questions, and break down complex ideas into simple parts.
Test with Sample Questions: Ask it questions students are likely to have and refine the instructions based on its answers.
This ensures the GPT is a helpful and safe educational tool. The complete guide offers more details on building for specific use cases.
Amol has helped catalyse business growth with his strategic & data-driven methodologies. With a decade of experience in the field of marketing, he has donned multiple hats, from channel optimization, data analytics and creative brand positioning to growth engineering and sales.
Growth Strategy and Planning
