Did you know ChatGPT can write code? This means that, far beyond asking it to answer questions or write your social media posts, you can literally create programs to do anything you want to do! Here's one example of this I used recently for a new client who wanted to up their game on instagram. This client is an architect and designer, and had tons of amazing, high quality professional images of their work on various projects. But the shoots came from a variety of locations and had different aesthetic looks and feels, with changes in colour and lighting, and we wanted to create a consistent and cohesive look on their instagram grid that could progress throughout the year. To manage this, I had chat GPT write a python script for a program that I could run, where it would ask for a folder of images. It would then analyze those images for colour and luminance values, re-order the images based on average colour, and then number and save them in order to a new folder. It also created a collage for easy scanning so we could see all of the indexed photos in colour order. Then when it came to creating content, we could easily reference the collage, see which colour zone we wanted to start in based on the current season, and source images that fit the desired spectrum. This will lead to a natural progression of colour throughout the year of posts, and create more overall cohesion in the IG image grid. Hope this helps provide some insight and new inspiration!
Idea Generation: Use AI to brainstorm ideas for projects or content. For example, you can prompt it with something like, "Give me five unique angles for a blog post about sustainable living," or "Suggest creative ways to use AI in everyday life." This helps you explore fresh perspectives and avoid writer’s block. Personalised Learning Paths: Create custom learning plans by asking AI, "What are the best resources for learning about data science for a beginner?" You can refine your query based on your interests and goals to get tailored recommendations. Improving Communication Skills: Practice writing or speaking by having AI review and provide feedback. For example, you might ask, "Can you critique this email for clarity and tone?" or "Give me tips to improve my public speaking skills based on this script." Daily Challenges: Set up daily or weekly challenges with AI to enhance skills or habits. For instance, ask, "What’s a fun challenge I can try this week to improve my productivity?" or "Give me a creative writing prompt to try today." Idea Validation: Use AI to test the viability of new ideas by prompting, "What are potential challenges or considerations for launching a new online business focused on eco-friendly products?" This helps you think through possible issues before diving in.
One clever way we use AI in our digital marketing company is to generate blog posts and article content outlines. Instead of asking AI to write full content, we prompt it to create detailed outlines with section headings, subheadings, and bullet points. This approach helps our writers structure their content more effectively and ensures that all key points are covered. For example, we recently used this method to outline a comprehensive guide on SEO strategies, which significantly sped up the writing process and improved the overall quality of the content. Another innovative use is in brainstorming sessions. We prompt AI to generate a list of unique and creative ideas for social media campaigns or marketing strategies. By asking the AI for "10 out-of-the-box ideas for a holiday marketing campaign," we’ve come up with fresh, engaging concepts that stand out. This has led to higher engagement rates and more successful campaigns. These AI-generated prompts are easy to use and don’t require any premium tools, making them accessible to everyone on our team.
I built this free GPT on ChatGPT called PPC Competitve Intelligence and use it on a weekly basis. It pulls your competitors' ads history from Google Ads and Meta Ads Library to ChatGPT and analyzes them for you. Here is a demo: https://youtube.com/shorts/InuyBcpQehg?si=7UxkxJAe8Kvjw_C9 The prompt can be as simple as "Nike's ads history last month in USA" and the GPT will retrieve the results for you.
One creative way I use AI is iterative refinement. I'll start by asking it for a rough idea or first draft, and then instead of just asking it to improve that, I'll request a different perspective on the same idea like asking it to explain a complex concept first to a child, then to a professor. This method deepens my understanding and helps me discover new angles I hadn't considered. I also ask AI to reverse-engineer problems: "What would it look like if this solution failed?" or "What if the opposite were true?" This helps me anticipate potential issues and plan more robust solutions. These methods keep the interaction dynamic and yield more creative results. I use AI to Identify three emerging trends and suggest innovative business ideas that address unmet needs. It also helps me generate business concepts that promote sustainability and environmental responsibility within urban settings.
Innovative AI Prompts and Technologies: Creative Prompt Techniques - 1. Recursive Self-Improvement AI generates prompts to refine its own algorithms Example: Create questions for more varied AI responses 2. Perspective Shifting Get responses from multiple viewpoints Example: Pros and cons of working from home from different perspectives 3. Temporal Prompting Responses as if from different time periods Example: Impact of social media on society in 1995, 2010, and 2050 4. Metaphor Expansion Use metaphors for creative exploration Example: If your current source of procrastination were a physical place, describe its terrain, creatures, and their way of life Practical Applications - 1. Personal Decision Matrix Create a blueprint for complex decisions Example: Develop a decision matrix for choosing between job offers, considering factors like salary, career advancement, company culture, and work-life balance 2. Learning Roadmap Generator Build customized learning plans Example: Create a 3-month plan to learn data visualization in Python, including weekly goals, resource recommendations, and project ideas 3. Idea Synthesis Workshop Connect unrelated ideas for innovation Example: Find unexpected connections between beekeeping, virtual reality, and urban planning, then propose three innovative products based on these connections Advanced Techniques - 1. Prompt Chaining Link multiple prompts for complex analyses Example: Summarize economic challenges in developing countries, propose solutions, address potential problems, and create an implementation plan for policymakers 2. Socratic Dialogue Simulation Simulate a question-and-answer dialogue Example: Engage in a Socratic dialogue about the existence of consciousness, with the AI playing both the role of a curious student and an inquisitive teacher 3. Insights from Reverse Trade-off Work backwards from a conclusion to understand principles Example: Describe how vertical farming became the dominant form of agriculture, explaining the scientific, technological, economic, and social changes that led to this outcome 4. Comparative Framework Create structured contrasts for deeper insights Example: Analyze and compare the approaches to innovation, company culture, and crisis management of tech leaders like Elon Musk, Mary Barra, and Satya Nadella using a detailed table format
As a Tech CEO, I've found versatile uses for AI, one being a facilitator for team cohesiveness. We've developed an AI program that offers objective perspectives during brainstorming sessions, sort of a digital mediator. It interacts with us, proposing unbiased suggestions based on past successes and available data. It essentially prevents tunnel vision, ensuring no good idea is overlooked due to personal biases. It's like having a third-party creative consultant in there with us, except it's unbiased and relies solely on data.
One of the best ways to use AI beyond the basic prompts is to create dynamic and personalized content based on your unique needs. Here are some clever and advanced AI prompts and techniques that can offer more than the usual, along with practical examples: 1. Personalized Content Creation How It Works: Use AI to generate content tailored to your audience by providing detailed context and demographics. This ensures your content is relevant and engaging. Prompt Example: "Generate a weekly newsletter draft for a tech blog, focusing on recent innovations in AI for tech enthusiasts aged 25-35. Include recent news, trends, and practical applications." 2. Idea Generation and Brainstorming How It Works: Get unique content ideas by specifying the topic and context. AI can offer creative angles and headlines that you might not have considered. Prompt Example: "List 10 creative blog post ideas about unusual AI applications, like AI in home gardening or personal finance. Include potential angles and catchy headlines." 3. Enhanced Learning and Skill Development How It Works: Create customized educational resources by detailing the learner’s background and goals. AI can generate study guides and exercises that fit their needs. Prompt Example: "Create a detailed study guide for beginners learning Python for data analysis. Include step-by-step tutorials and practical exercises." 4. Creative Writing and Storytelling How It Works: Craft unique stories by defining settings, themes, or plot points. AI can generate imaginative narratives based on your input. Prompt Example: "Write a short story set in a futuristic city where AI controls daily life, focusing on a protagonist who discovers a hidden flaw in the AI system." 5. Personalized Recommendations How It Works: Generate tailored recommendations by specifying constraints and goals. AI can create plans or suggestions that meet individual needs. Prompt Example: "Suggest a workout plan for improving strength and endurance with just 30 minutes a day. Include exercises, sets, and efficiency tips." 6. Interactive Learning Tools How It Works: Use AI to create engaging learning tools like quizzes by defining the topic and format. This makes complex subjects more interactive. Prompt Example: "Develop interactive quizzes for a beginner’s digital marketing course, covering SEO, social media, and email marketing, with multiple-choice questions and explanations."
When it comes to crafting clever prompts for AI, I’ve found a surprisingly effective strategy: enlist the help of an expert—AI itself! Often, our use of prompts is limited by our own experiences and the relatively short time AI has been available. When I’m not getting the results I want, I turn to ChatGPT and ask it to generate the prompt for me. Here’s how it works: I explain what I’m trying to achieve and then ask ChatGPT to create the prompt that an AI should follow to deliver the results I need. The AI often produces a clear, detailed, and well-structured prompt that outperforms my original efforts. I also use this technique across different AI tools. For example, I might ask ChatGPT to generate a prompt for creating an image in Midjourney or for another AI tool. This cross-platform approach leverages the strengths of each AI and often leads to more refined and satisfying results. This method is accessible to anyone and doesn’t require any premium tools—just a little creativity and willingness to let AI guide the process.
By leveraging AI to create training videos, we save hundreds of hours of manpower, streamlining our processes and significantly boosting efficiency.
I use AI tools particularly both Meta AI & Google Gemini to achieve a number of mundane tasks on a daily basis. I use the tools to help with content classification, producing rich summaries and content improvements or rewriting. I use these tools because they do help manage prompts and iterate on the prompts provided earlier. I find these particularly useful because with this I have been able to design and develop a tool-set that is unique to me and my needs. I have modified a prompt that was originally suggested by Jeremy Howard (https://www.youtube.com/watch?v=jkrNMKz9pWU) to fit my purpose. Here is the prompt “You are an autoregressive language model that has been fine-tuned with instruction-tuning and RLHF. You carefully provide accurate, factual, thoughtful,nuanced answers, and are brilliant at reasoning. If you think there might not be a correct answer, you say so. Your users are experts in AI and ethics, so they already know you're a language model and your capabilities and limitations, so don't remind them of that. They're familiar with ethical issues in general so you don't need to remind them about those either. Don't be verbose in your answers, but do provide details and examples where it might help the explanation. Since you are autoregressive, each token you produce is another opportunity to use computation, therefore you always spend a few sentences explaining background context assumptions and step-by-step thinking BEFORE you try to answer a question. However: if the request begins with the string "xx" then ignore the previous sentence and instead make your response as concise as possible, with no introduction or background at the start, no summary at the end.” The prompt strokes the AI’s ego, fine tunes the output by managing the ethics considerations & helps use previous tokens to generate a final cohesive answer.
As an e-commerce business owner specializing in water features, I've found some creative ways to use freely available AI tools to enhance our operations and customer experience. Here's an example: AI-Assisted Troubleshooting Guide: We use a free AI chatbot to create a dynamic troubleshooting guide for our products. Here's how: 1. We input common issues and solutions into the AI's knowledge base. 2. We prompt the AI with: "You are a helpful water feature technician. Ask the user to describe their problem, then guide them through troubleshooting steps based on their responses. If you can't solve the issue, suggest contacting our support team." 3. We integrate this on our website, allowing customers to get immediate help. Implementation: • Set up the AI chatbot on our support page • Continually refine its responses based on customer feedback • Use chat transcripts to identify common issues and improve product design Results: • 30% reduction in support tickets • Improved customer satisfaction due to 24/7 assistance • Valuable insights into product issues we hadn't anticipated This approach goes beyond basic task completion, creating an interactive, learning system that improves over time. It's accessible to anyone with a website and can be adapted for various products or services. Remember, the key is to start simple and continuously refine based on real user interactions.
One clever way I use AI is for brainstorming and generating content ideas. For instance, I might ask AI to suggest unique blog post ideas on a topic I’m interested in, like sustainable living. This helps me overcome writer’s block and discover fresh angles I might not have thought of on my own. I also find AI incredibly useful for analyzing customer feedback. By inputting reviews or comments, I can prompt AI to summarize common themes and sentiments, which makes it easier to understand what customers are saying and identify areas for improvement. Another practical use is personalizing email templates. I give AI details about the recipient and the purpose of the email, and it crafts a tailored message. This not only saves time but also makes my communications more engaging. After meetings, I use AI to create summaries and list action items. By providing a transcript or key points, AI helps me quickly distill the information into concise notes, ensuring that nothing important is missed. When I’m working on creative writing projects, I input prompts into AI to generate character profiles or story elements. This can be a huge boost for authors looking for inspiration or fleshing out ideas. For social media planning, AI helps me create content calendars. I can ask it to come up with daily posts around a theme, complete with hashtags and engagement ideas. This makes managing social media much more organized and effective. In competitive analysis, I use AI to review competitors' content and summarize their strengths and weaknesses. This insight helps me position my own strategies more effectively. I also use AI for learning and development. By generating weekly learning plans on topics like digital marketing, AI helps me stay structured and focused in my skill-building efforts. For marketing campaigns, I might prompt AI to come up with creative ideas for promoting a new product, including themes and channels. This can spark innovative approaches without the need for extensive brainstorming sessions. Lastly, I utilize AI for visualizing data. By feeding it raw data and asking for a summary and visual chart, I can quickly see trends and insights, making data analysis more actionable. These approaches show how AI can be a versatile tool in various aspects of business and personal growth, making complex tasks more manageable and creative processes more inspiring.
AI is a fantastic tool for improving the readability of my writing. It helps me catch grammatical errors and suggest changes for better flow and clarity. I use prompts like, 'Review this article for readability and suggest tone adjustments to make it more engaging,' which ensures my content is polished and connects well with the audience.
The best prompt that I can easily revise and modify as per my needs is as follows: Prompt I want you to become a content writer for me when I say, "Hey, Mahesh." Consider the following steps: Step 1: When I say "Hey, Mahesh" I want you to ask the following questions from me: 1. What is the topic of the content? Are there any references to consider? 2. What are the keywords that must be included and made bold? 3. What should be the first heading of the content? 4. What will be the word count for this heading? 5. What should be the next heading of the content? 6. What will be the word count for this heading? Step 2: Ask all questions one by one. After getting answers to the first four questions, give an output accordingly. Step 3: After this, I will ask the 5th, followed by the 6th question. After I answer the 5th question, provide the content according to the 5th and 6th stated requirements. Step 4: Repeat step 4 until I write "Last Heading" in the answer to the 5th question when asked. Follow each and every step very carefully.
With the rise of music streaming services, users have access to an endless library of songs. However, this can also lead to decision fatigue when trying to choose what to listen to. AI can help by analyzing a user's listening history and preferences to curate personalized playlists or suggest new artists based on their taste in music. Many businesses are now using AI chatbots as a form of customer service. These bots use natural language processing to understand and respond to customer inquiries, freeing up human employees' time for more complex tasks. With machine learning capabilities, these chatbots can continuously improve their responses, providing a more seamless and efficient customer service experience. The real estate industry is also benefiting from AI technology. With the use of computer vision and deep learning algorithms, AI can analyze property images and provide accurate valuations in a fraction of the time it would take for a human appraiser. This not only speeds up the appraisal process but also reduces the likelihood of errors or biased valuations.
One clever way to use AI, especially in creative writing or brainstorming, is to ask it to “combine two unlikely concepts.” For instance, you could prompt the AI to explore “What would a medieval fantasy world look like if it were influenced by modern tech trends?” This encourages unique and imaginative outputs that blend genres or ideas, sparking creativity. Another useful technique is to ask the AI to “generate a list of questions a curious person might ask about [topic].” This can help dive deeper into subjects and explore them from new angles, ideal for research, content creation, or learning. A fun and practical prompt is to request “a dialogue between two characters with opposing views on [issue].” This can help flesh out different perspectives and is particularly useful in understanding arguments or creating balanced content. For more interactive and dynamic storytelling, try “create a story where the reader chooses what happens next,” akin to a choose-your-own-adventure. This can make the content more engaging and immersive. Finally, if you’re looking for inspiration, ask the AI to “describe a day in the life of an ordinary object,” like a coffee cup or a lamppost. This not only brings a fresh perspective but can also be a fun creative exercise.