Como Criar e Configurar seu Próprio GPT (Agente de IA) no ChatGPT

Antonio Bennati - The BI Lab

17 Jul 202415:02

Summary

TLDRIn this video, Antonio, a Business Intelligence specialist, demonstrates how to create a personalized AI assistant within ChatGPT for specific data analysis tasks like social media. He explains how GPT agents, including those built for data science, can be configured to analyze social media performance, generate insights, and optimize digital campaigns. Antonio provides a step-by-step guide on creating a social media data analyst GPT, tailoring its behavior for impartial analysis and actionable recommendations. The video emphasizes AI as a tool for enhancing data-driven decision-making, not a threat, and encourages adapting these techniques for various industries.

Takeaways

🤖 The video introduces the ability to create custom AI assistants, called GPTs, within ChatGPT for tasks like data analysis and social media management.
📊 The example in the video demonstrates how to configure a GPT specifically to analyze social media data and provide insights for digital campaigns.
🛠️ Creating a GPT involves defining its role, goals, and how it responds to specific questions or tasks, such as generating campaign recommendations.
🎯 The GPT's role in the video is to analyze public conversations about brands and themes, aiming to provide impartial insights and identify opportunities to increase organic engagement.
📈 The setup of the GPT includes analyzing key performance indicators (KPIs) such as engagement rate, reach, and interactions, comparing them to industry benchmarks.
🛠️ The creator of the GPT emphasizes the importance of tailoring the GPT's tone (formal or informal) and ensuring that its responses are detailed yet understandable.
🔍 The GPT can be customized to focus on specific campaign metrics, like engagement rate, and provide suggestions for improving performance on platforms like Instagram and TikTok.
🧑‍🤝‍🧑 Collaboration features are highlighted, where the GPT can analyze user interactions, recommend influencer partnerships, and suggest ways to boost content visibility.
🎨 An avatar or visual identity can be created for the GPT, enhancing its personalization for users.
💡 The takeaway encourages using AI assistants in various fields like marketing, finance, and HR, suggesting that AI is a tool to enhance, not replace, human decision-making.

Q & A

What is the purpose of creating an AI agent within ChatGPT, as explained in the video?
-The purpose of creating an AI agent within ChatGPT is to use it for specific tasks such as analyzing segmented data, like social media, and assisting in tasks like digital marketing campaign analysis. The AI can provide insights and recommendations tailored to the user’s needs.
How can users access and explore pre-made GPTs in ChatGPT?
-Users can explore pre-made GPTs by clicking the 'Explore GPTs' button within ChatGPT. This allows users to browse through a list of GPTs created by other people or companies for specific purposes, such as image generation, data science, or market research.
What specific task is the video focused on when creating a GPT agent?
-The video focuses on creating a social media data analyst GPT, which helps generate insights for content and provides recommendations for improving digital marketing campaigns.
What are the key steps in creating a custom GPT as demonstrated in the video?
-The key steps include specifying the GPT's role (e.g., a social media data analyst), defining its objectives (e.g., generating insights and recommendations), setting directives for how it should respond to questions, and determining its tone (e.g., formal yet didactic).
How does the GPT provide recommendations for improving engagement on social media?
-The GPT provides specific recommendations based on the platform. For example, for Instagram, it may suggest using more Stories and Reels, engaging with comments, or partnering with influencers. It also advises analyzing the timing of posts and utilizing creative content.
Why is it important to specify directives for the GPT when configuring it?
-It is important to specify directives to ensure the GPT remains focused and impartial, delivering relevant, data-driven insights. For example, users can instruct it to analyze public conversations and suggest strategies to improve engagement based on market baselines.
What does the video suggest for users who face issues with generating an avatar for their GPT?
-If there is an issue generating an avatar, users can manually upload a photo or request the AI to generate a new one by editing their GPT settings and selecting the option to regenerate the avatar.
How does the GPT analyze the results of a marketing campaign in the video?
-The GPT compares the campaign’s engagement rates (e.g., 4.5% on TikTok and 1.4% on Instagram) with market averages. It identifies that the campaign's performance is on the lower end of the average and suggests improvements, such as optimizing creative content and testing different strategies.
What additional insights does the GPT provide for improving a TikTok campaign?
-For TikTok, the GPT suggests utilizing platform-specific features like collabs, duets, and visual effects. It also recommends optimizing the content's timing to increase engagement.
How can users further customize their GPT to fit their business needs?
-Users can further customize their GPT by adjusting its configuration, such as specifying the type of analysis (e.g., financial, HR, or sales data), refining its directives, and continually tweaking its responses based on feedback from campaign performance.

Outlines

00:00

🤖 How to Create Your Own AI Assistant with ChatGPT

The video introduces the concept of creating a personalized AI assistant using ChatGPT, specifically for tasks such as social media analysis. The speaker, Antonio, explains how AI agents (GPTs) can be customized for specific functions like marketing analysis. He reassures viewers that AI is a tool to help, not replace, them and highlights that the goal of the video is to show how to configure such an assistant for social media campaign management. This exercise aims to help viewers get ahead by integrating AI into their workflow.

05:02

🛠️ Exploring GPTs and How to Create Your Own Social Media Analyst

Antonio walks through how GPTs, formerly plugins, can now be used to perform specialized tasks, like being a social media analyst. He demonstrates how to explore existing GPTs for various fields, such as data science or medicine, and highlights the ability to create a GPT tailored to specific needs. The example focuses on building a GPT that provides insights and recommendations for digital marketing campaigns, specifically on social media. The process involves defining the GPT's role, specifying its tasks, and choosing a name and profile image for the assistant.

10:02

💡 Defining Guidelines for Your Social Media Data Analyst

In this section, Antonio emphasizes the importance of defining how the AI assistant should operate, such as being impartial and analytical. He suggests setting up guidelines for the GPT to analyze public conversations, focusing on identifying opportunities for brands to increase engagement. The key to success lies in giving the AI clear instructions so that it can offer more specific, business-focused insights. He also discusses using market baselines to compare social media performance metrics like engagement rate and reach.

⚙️ Fine-Tuning the AI’s Tone and Analytical Approach

The tone and approach of the AI assistant are configured next. Antonio opts for a formal but clear and educational tone to ensure that the insights provided are easy to understand. He tests the AI by providing it with data from a marketing campaign for shoes on Instagram and TikTok, asking for insights and comparisons against market benchmarks. The assistant's recommendations include improving content creativity, using platform-specific features like TikTok collabs, and analyzing the best times for posting.

📊 Analyzing Marketing Campaign Results with the AI Assistant

Antonio shares the results of a marketing campaign, comparing engagement rates on TikTok and Instagram against industry averages. The AI points out that the engagement rate on both platforms is in the lower range and offers specific suggestions for improvement, such as better content creation and leveraging platform-specific tools. For Instagram, the AI recommends utilizing features like Stories and Reels and collaborating with influencers to boost interaction. It also highlights the importance of continually testing content and monitoring metrics for better performance.

🎯 Optimizing Social Media Campaigns Based on AI Insights

As Antonio further tests the AI assistant, it provides more detailed feedback on how to optimize social media campaigns. It suggests re-evaluating audience segmentation, running A/B tests with different content types, and monitoring not just engagement rates but also other metrics like reach and impressions. By applying the assistant’s suggestions, campaigns can improve engagement and achieve better returns on investment. The AI's analysis is comprehensive, covering creative, strategic, and audience-focused aspects of campaign performance.

🖼️ Fixing Issues with GPT Image Generation and Final Setup

Antonio encounters an issue with generating a profile image for the GPT, but demonstrates how to resolve it. He walks through how to upload or regenerate an avatar image for the assistant using ChatGPT's image generation feature. After finalizing the setup, the AI assistant is fully ready for use. He concludes by encouraging viewers to adapt this process to their specific needs, whether it's for social media, finance, HR, or any other domain. Antonio emphasizes that AI is a helpful tool, not a threat, and can greatly enhance data analysis.

Mindmap

Keywords

💡AI Agents

AI Agents in the video refer to custom artificial intelligence tools that users can create within platforms like ChatGPT. These agents can be programmed for specific tasks, such as analyzing social media data. In the video, the speaker demonstrates how to create a social media data analyst agent using ChatGPT.

💡Social Media Data Analysis

Social Media Data Analysis refers to the process of gathering and examining data from platforms like Instagram or TikTok to generate insights. The video uses this concept to explain how the AI agent is designed to analyze metrics like engagement rates and offer recommendations to improve marketing campaigns.

💡Insights

Insights are valuable findings derived from data analysis. In the video, the AI agent provides insights related to social media campaigns, such as how to improve engagement rates and what strategies may work best for different platforms.

💡Campaign Recommendations

Campaign Recommendations refer to the advice the AI agent gives to improve the effectiveness of digital marketing efforts. In the video, the agent suggests strategies like optimizing posting times, using high-quality visuals, and engaging with influencers to boost social media performance.

💡Engagement Rate

Engagement Rate is a metric used to measure interactions (likes, comments, shares) with content on social media relative to the number of views or followers. In the video, the AI agent analyzes the engagement rates of campaigns on platforms like Instagram and TikTok, providing suggestions to improve them.

💡Market Baselines

Market Baselines refer to the industry standards or average performance metrics that are used as a reference point. In the video, the AI agent compares the performance of a marketing campaign to market baselines, such as average engagement rates, to assess its success and suggest improvements.

💡Custom AI GPT

Custom AI GPT refers to personalized versions of the GPT (Generative Pretrained Transformer) model that can be tailored for specific functions, such as data analysis or customer service. In the video, the speaker creates a custom AI GPT to serve as a social media data analyst that generates insights for digital campaigns.

💡Impartial Analysis

Impartial Analysis means the AI agent provides unbiased, objective recommendations based on the data without any favoritism. The video emphasizes this quality as crucial to ensuring the AI delivers accurate, data-driven advice for improving social media strategies.

💡Content Optimization

Content Optimization involves improving the quality, timing, and type of content to increase engagement and reach on social media platforms. The AI agent in the video offers recommendations such as using more visual content and experimenting with different formats to optimize social media campaigns.

💡Performance Comparisons

Performance Comparisons are used to assess how a campaign's results measure up against other campaigns or industry standards. The video demonstrates how the AI agent can compare a campaign's engagement metrics to those of competitors or market averages, offering a clearer picture of its success.

Highlights

Introduction to creating your own AI assistant for social media analysis using GPTs within ChatGPT.

Explanation of how GPTs, the new AI agents within ChatGPT, can be used for specific purposes like social media data analysis.

Step-by-step guide on how to configure a custom GPT to analyze social media campaigns and generate insights for digital marketing.

Emphasis on the fact that AI is a tool to assist, not a threat, and should be used to enhance business intelligence and decision-making.

Detailed demonstration of how to create a prompt for a social media data analyst agent, specifying tasks like generating content insights and suggesting campaign improvements.

Instructions on naming the custom GPT and generating a profile image, including troubleshooting if the image generation fails.

Walkthrough of how the GPT provides insights by analyzing public conversations about brands or topics on social media.

Guidance on ensuring the GPT follows a consistent analytical approach and remains impartial while suggesting strategies to increase organic engagement.

Description of the GPT’s ability to use market baselines to compare engagement metrics and offer recommendations based on these comparisons.

Suggestion to keep the GPT’s tone formal but educational to clearly convey data insights and recommendations.

Example of testing the custom GPT using social media campaign data from TikTok and Instagram for a shoe brand.

Analysis of campaign performance on TikTok and Instagram, with recommendations for content improvement and engagement strategies.

Encouragement to adjust the custom GPT as needed and continually refine it for more accurate and useful insights.

Highlight of how the GPT compares campaign metrics with market averages, placing results within a broader industry context.

Reminder that GPTs can be created for other business purposes, such as financial analysis, HR data analysis, or restaurant sales analysis, depending on the user’s needs.