
Everyday AI Podcast – An AI and ChatGPT Podcast
by Everyday AI
Latest Business Ideas
AI-Powered Content Creation Marketplace
Market Gap: Content creators struggle to produce engaging material consistently.
An AI-powered content creation marketplace could serve as a hub for digital content creators, providing them with advanced tools to enhance their productivity and creativity. This platform could feature AI algorithms that assist in content generation, idea brainstorming, and even multimedia production. By facilitating collaboration between creators and offering a marketplace for sharing and monetizing content, this platform could attract a wide array of users, from individual creators to marketing agencies. Additionally, it could offer subscription-based models for accessing premium features and tools, creating a sustainable revenue stream.
From: Ep 620: Apple’s ChatGPT rival, OpenAI’s multi-billion partnerships, Accenture lays off 11,000 due to AI and more AI News That Matters
Personalized AI Meeting Assistant Tool
Market Gap: Professionals need streamlined meeting preparation and follow-up.
A personalized AI meeting assistant tool could revolutionize how professionals prepare for and follow up on meetings. By integrating with users' calendars and communication tools, this AI would analyze past interactions and generate tailored summaries and action items. Features could include daily briefing cards that provide essential information before meetings, reminders for follow-ups, and the ability to learn from user feedback to improve its recommendations over time. This tool would be invaluable for busy professionals looking to maximize their efficiency and ensure that important tasks are completed timely.
From: Ep 620: Apple’s ChatGPT rival, OpenAI’s multi-billion partnerships, Accenture lays off 11,000 due to AI and more AI News That Matters
AI Training and Upskilling Platform for Corporations
Market Gap: Companies struggle to upskill employees for AI-driven roles.
An AI training and upskilling platform targeted at corporations could bridge the gap between current employee skill sets and the demands of an AI-driven job market. This platform would offer courses tailored to the specific needs of businesses, focusing on practical applications of AI tools and technologies. It could include features like hands-on workshops, access to industry experts, and ongoing support to help employees transition into AI-focused roles. By investing in such training programs, companies can not only retain talent but also enhance productivity and innovation within their teams.
From: Ep 620: Apple’s ChatGPT rival, OpenAI’s multi-billion partnerships, Accenture lays off 11,000 due to AI and more AI News That Matters
AI-Powered Photo Colorization Service
Market Gap: People want to restore and enhance old photographs quickly.
This business idea revolves around creating an online service that utilizes AI to colorize and enhance old photographs. Users would upload their images, and the AI would analyze and apply colors based on historical data and context. The service could cater to individuals looking to restore family memories or businesses needing to enhance old marketing materials. Similar to the capabilities mentioned for Nano Banana in the podcast, the tool would provide quick, affordable results, allowing users to enjoy their restored images without the need for intricate software knowledge.
From: EP 619: Nano Banana Uncovered: A practical guide from inside Google
AI-Enhanced Sentiment Analysis Tool
Market Gap: Businesses lack efficient sentiment analysis tools for customer feedback.
The concept involves creating an AI-powered sentiment analysis tool that can seamlessly integrate with existing platforms such as Google Sheets. This tool would allow users to input customer comments or feedback and, using NLP, categorize the sentiment as positive, negative, or neutral. The tool could provide visualizations and reports that help businesses understand trends in customer sentiment over time. Similar to the sentiment analysis features mentioned in the podcast, this tool would cater to businesses looking to enhance their customer feedback processes without needing extensive technical skills.
From: EP 619: Nano Banana Uncovered: A practical guide from inside Google
Natural Language AI App Builder
Market Gap: Non-technical users struggle to build functional applications.
The idea is to create a platform that allows users to build and deploy apps purely through natural language input, utilizing AI for backend processes. This platform would cater to non-developers who have ideas but lack coding skills. Users could describe the functionality they envision, and the AI would generate the app's code, handle potential errors, and even deploy it to a cloud service. This democratizes app creation and encourages innovation from a broader audience. Similar to the 'Build' feature discussed in the podcast, which enables users to create applications using Nano Banana's capabilities, the platform could offer various templates and integrations to streamline development further.
From: EP 619: Nano Banana Uncovered: A practical guide from inside Google
Collective Rights Organization for Online Content
Market Gap: Publishers struggle to monetize content due to AI scraping.
The RSL Collective aims to create a unified licensing model for online content, allowing publishers to collectively negotiate terms with AI companies. By establishing a blanket license, the RSL Collective simplifies the process for AI companies, enabling them to access a wide range of content under a single agreement. This model is inspired by existing collective rights organizations in the music industry, ensuring that content creators are fairly compensated whenever their material is used. The collective nature of this rights organization also provides a legal framework for enforcement against content scraping, offering publishers a stronger position in negotiations.
From: EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?
Machine-Readable License Standard for Web Content
Market Gap: Content creators lack a standardized way to license their work.
The proposed machine-readable licensing standard for web content allows publishers to define their licensing terms directly in their website's robots.txt file or HTTP headers. This standard enables AI companies and crawlers to easily identify and respect the licensing terms associated with specific content. By creating a clear and uniform way to articulate licensing agreements, content creators can protect their rights and ensure they receive compensation for their work when used by AI systems. This initiative aims to foster a healthier ecosystem for digital content, where both creators and AI companies can benefit.
From: EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?
Hyperlocal AI Guide for Restaurants
Market Gap: Finding specific local dining options is time-consuming.
This business idea centers around creating a hyperlocal AI guide that leverages existing mapping technologies and AI to offer personalized dining recommendations based on user preferences. Users could interact with the AI through natural language prompts, asking for specific types of restaurants, menu items, and local favorites. For instance, a user could request recommendations for the best vegan restaurants nearby or seek a specific dish, such as deep-dish pizza. This tool could be implemented as a mobile app or integrated into existing mapping services, providing a seamless user experience. Target customers would include food enthusiasts, travelers, and local residents looking for dining options that match their tastes.
From: EP 617: Gemini in Google Chrome: What’s new and 6 easy use cases
Live AI Help Feature for Websites
Market Gap: Users struggle to navigate overwhelming information on webpages.
The idea is to create a live AI help feature integrated into websites, allowing users to interact with an AI assistant that provides tailored recommendations based on the content of the current page. This feature would utilize AI's ability to understand context and user preferences, offering real-time suggestions or summaries. For example, if a user is browsing an e-commerce site, they could ask the AI for product recommendations based on specific criteria, such as budget or features. This tool could be implemented as a browser extension or built directly into the website's interface, enhancing user experience and increasing conversion rates. Target users would include e-commerce platforms, educational websites, and any content-heavy sites looking to improve user engagement.
From: EP 617: Gemini in Google Chrome: What’s new and 6 easy use cases
Recent Episodes
Ep 620: Apple’s ChatGPT rival, OpenAI’s multi-billion partnerships, Accenture lays off 11,000 due to AI and more AI News That Matters
Host: Jordan Wilson
3 ideas found
EP 619: Nano Banana Uncovered: A practical guide from inside Google
Host: Jordan Wilson
EP 618: RSL vs. the AI Scrape: Can LLM licensing save the open web?
Host: Jordan Wilson
2 ideas found
EP 617: Gemini in Google Chrome: What’s new and 6 easy use cases
Host: Jordan Molson
EP 616: If Microsoft is haunted by AI, should everyone else be nervous too?
Host: Steven Johnson
Ep 615: OpenAI going after Apple hardware, Google brings Gemini to Chrome, Microsoft CEO’s dire warning on AI and more AI News That Matters
Host: Jordan Wilson
EP 138: AI for Good - Strategies for Ethical and Sustainable AI Development
Host: Jordan Wilson
3 ideas found
EP 614: 5 Business Use-Cases for Comet, Perplexity’s agentic browser
Host: Jordan Wilson
EP 613: AI Agents: From automation to super agents. 10 AI Agents you should know in 2025
Host: Jordan Wilson
EP 612: ChatGPT Connectors: What they are and why you NEED to rely on them daily
Host: Jordan Wilson
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