AI Visibility Podcast with Jason T Wade of BackTier

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OpenAI - ChatGPT Global Usage Paper - Harvard & Duke Research Podcast by Jason Wade, Founder NinjaAI

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Briefing Document: Consumer Usage of ChatGPT - Trends, Economic Value, and Evolution

Date: September 15, 2025

Source: Excerpts from "How people are using ChatGPT | OpenAI" (National Bureau of Economic Research (NBER) working paper by OpenAI’s Economic Research team and Harvard economist David Deming)

Executive Summary:

This briefing summarizes the key findings from the largest study to date on consumer ChatGPT usage, based on a privacy-preserving analysis of 1.5 million conversations since its launch three years ago. The study highlights the increasing democratization of AI, with shrinking demographic gaps and rapid global adoption. ChatGPT is primarily used for everyday tasks, providing practical guidance, information seeking, and writing support. Crucially, the technology is demonstrating significant economic value creation in both personal and professional contexts, acting as a productivity tool, a decision support system, and a driver of uncaptured value in daily life.

Main Themes and Most Important Ideas/Facts:

1. Democratization of AI and Closing Usage Gaps:

• Shrinking Gender Gap: ChatGPT's early gender disparities have "narrowed dramatically, with adoption resembling the general adult population." By July 2025, the share of users with typically feminine names rose to "more than half (52%)" from 37% in January 2024.
• Global Accessibility and Rapid Growth in Developing Nations: ChatGPT has become a "broadly accessible global tool," with "especially rapid growth in low- and middle-income countries." By May 2025, adoption growth rates in the lowest income countries were "over 4x those in the highest income countries."
• Implication: This widespread adoption reinforces OpenAI's belief that "access to AI should be treated as a basic right—a technology that people can access to unlock their potential and shape their own future."

1. Primary Use Cases: Everyday Tasks and Practical Guidance:

• Focus on Practicality: "Three-quarters of conversations focus on practical guidance, seeking information, and writing."
• Common Work Task: Writing is identified as "the most common work task."
• Niche Activities: Coding and self-expression "remain niche activities."
• Usage Categorization (Asking, Doing, Expressing):Asking (49%): A growing and highly-rated category where "people value ChatGPT most as an advisor rather than only for task completion." This reflects users seeking advice and insights.
• Doing (40%): Task-oriented interactions, including drafting text, planning, or programming, where the model generates outputs or completes practical work. Approximately one-third of "Doing" usage is for work.
• Expressing (11%): Uses involving "personal reflection, exploration, and play."

1. Creation of Economic Value in Both Work and Personal Life:

• Dual Role as Productivity and Value Driver: Approximately 30% of consumer usage is "work-related," and 70% is "non-work," with both categories "continuing to grow over time." This underscores ChatGPT's "dual role as both a productivity tool and a driver of value for consumers in daily life."
• Decision Support and Productivity: ChatGPT "helps improve judgment and productivity, especially in knowledge-intensive jobs." This highlights its role beyond simple task automation, assisting in complex decision-making processes.
• Uncaptured Value: In some cases, ChatGPT is "generating value that traditional measures like GDP fail to capture," suggesting a broader economic impact beyond conventional metrics.
• Deepening Engagement: As users discover benefits, "usage deepens—with user cohorts increasing their activity over time through improved models and new use-case discovery."

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1. Executive Summary

Google has recently released Gemini 2.5 Flash Image, codenamed Nano Banana, a powerful new AI model designed for state-of-the-art image generation and editing. This briefing provides a comprehensive overview for developers looking to integrate Nano Banana into their applications using the Gemini Developer API. Key functionalities include image creation from text, image editing with text and image inputs, photo restoration, multi-image inputs, and conversational image editing. The tutorial emphasizes practical implementation steps, including API key generation, billing setup, SDK installation, and best practices for prompting.

2. Key Themes and Concepts

2.1. Introduction to Nano Banana (Gemini 2.5 Flash Image)

• Definition: Nano Banana is Google's latest model for image generation and editing, offering "state-of-the-art capabilities for creating and manipulating images."
• Purpose: It unlocks "a wide range of new applications" for developers.
• Access: While end-users can access it via the Gemini app, developers are encouraged to prototype and test prompts in Google AI Studio (aistudio.google.com).
• Model ID: For all API requests, the model ID to use is gemini-2.5-flash-image-preview.

2.2. Development Environment and Setup

• Google AI Studio: This is the primary playground for experimenting with AI models before coding, and the entry point for building with the Gemini API. Developers can use Nano Banana "free of charge within AI Studio." A direct link for a new session is ai.studio/banana.
• Required Tools:An API key from Google AI Studio.
• Billing set up for your Google Cloud project.
• The Google Gen AI SDK for Python or JavaScript/TypeScript.
• API Key Generation: Available in Google AI Studio by clicking "Get API key" and then "Create API key." This requires selecting or creating a Google Cloud project.
• Billing: While prototyping in AI Studio is free, using the model via the API is a "paid service." Billing must be enabled on the Google Cloud project associated with the API key.
• Cost: Image generation with Nano Banana costs $0.039 per image. This is based on an official pricing of "$0.30/1M input tokens and $30/1M output tokens," where "A standard 1024x1024px output image consumes 1290 tokens, which equates to $0.039 per image."
• SDK Installation:Python: pip install -U google-genai (and pip install Pillow for image manipulation).
• JavaScript/TypeScript: npm install @google/genai.

2.3. Core Capabilities and Functionalities

• Image Generation from Text: Users can "generate one or more images from a descriptive text prompt." The example provided creates a "photorealistic image of an orange cat with green eyes, sitting on a couch."
• Image Editing with Text and Image Inputs: The model allows users to "provide an existing image along with a text prompt to perform edits," noting its excellence "at maintaining character and content consistency from the input image." An example transforms a cat image into a "street-level view of the cat walking along a sidewalk in a New York City neighborhood."
• Photo Restoration: A "powerful application" of the model, enabling restoration and colorization of old photographs "with impressive results" using a simple prompt like "Restore and colorize this image from 1932."
• Multiple Input Images: The model can handle "multiple images as input for more complex editing tasks," demonstrated by applying a T-shirt from one image onto a person in another: "Make the girl wear this t-shirt. Leave the background unchanged."
• Conversational Image Editing: For "iterative refinement," developers can use chats sessions to "maintain context across multiple requests." This enables conversational editing, such as initially changing a cat to a Bengal cat and then, in a subsequent prompt, instructing it to "wear a funny party hat."

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This document provides a detailed review of ChatGPT Agent, outlining its core capabilities, primary themes, and most impactful use cases based on the provided source material.

1. Executive Summary

ChatGPT Agent is presented as a general-purpose AI agent that significantly enhances ChatGPT's functionality by enabling autonomous execution of complex, multi-step tasks within a virtual environment. It combines browser control with deep research capabilities, image generation, scheduling, and project management. The agent is particularly adept at offloading "daily tasks" that involve "both thinking, decision making and doing across multiple tools." While not yet perfect and best suited for "low-stake tasks," its ability to simulate human-like interactions with websites and integrate various ChatGPT functionalities makes it a powerful tool for streamlining workflows in areas like marketing, UX research, and business intelligence.

2. Main Themes and Key Capabilities

2.1 Autonomous Task Execution and Virtual Environment

A core theme is the agent's ability to "set up the virtual environment and run it autonomously." Users "turn on Agent Mode, describe your task," and the agent executes it, providing real-time visibility into its actions through an "activities log." Users can "interrupt it at any time by prompting or take over the control for any work guidance, or stop it completely." This autonomy is a significant leap beyond traditional AI tools, as it allows for complex, non-linear workflows.

2.2 Integration of ChatGPT's Built-in Capabilities

The agent leverages all of ChatGPT's existing functionalities, including "image generation, scheduling connectors, projects." This integration means that while the agent browses and researches, it can also "generate images, building presentations," and utilize "built-in canvas" for various outputs. This holistic approach makes it a versatile tool for creating comprehensive deliverables.

2.3 Browser Control and Human-like Interaction

A key differentiator highlighted is the agent's capacity for "ChatGPT operator browser control." Unlike basic web scraping, the agent can "actually browse, click, and make smart decisions about what data matter the most." Examples show it "navigat[ing] to spyfu.com," "run[ning] the page speed insights," "search[ing] on Pinterest trend," and "navigating different sections and simulating the shopper's behavior." This human-like interaction with websites, including "scrolling," "filtering," and "overcom[ing] some issues encountered in the process, making decisions," is crucial for advanced research and analysis.

2.4 Project Management and Contextual Awareness

The ability to "set up a chat GPT project to make sure the agent can retrieve relevant context about the brand" and define "customer instruction stating what this project is about" allows for more targeted and brand-aligned outputs. This feature helps maintain consistency and accuracy across tasks related to a specific client or brand.

2.5 Scheduling and Automation of Repetitive Tasks

The agent can "set up a schedule" for tasks, making it ideal for "regular performance report[s] for your stakeholders or certain clients." This "run it monthly" feature transforms one-off tasks into automated workflows, significantly reducing manual effort for ongoing reporting and monitoring.

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This briefing summarizes key strategies for "Generative Engine Optimization" (GEO), a method to ensure digital content is visible and cited by AI search engines like ChatGPT, Perplexity, and Gemini. Unlike traditional SEO focused on Google-style rankings, GEO emphasizes structuring content to be readily consumed and quoted by AI tools.

Main Themes and Important Ideas:

1. The Rise of Generative Engine Optimization (GEO)

AI search engines are changing how users find information. Instead of providing a list of sources like traditional search engines, AI tools like ChatGPT and Gemini "are scanning the web to quote and recommend sources." This new landscape necessitates a different approach to content visibility, which the source calls "Generative Engine Optimization." Without proper GEO, "if your site isn't structured for visibility in these new tools, you’ll get skipped."

2. Prioritizing Clear, Conversational Language

AI tools are designed to interact and generate human-like text. Therefore, "AI tools prefer content that mimics how humans talk." This means avoiding jargon and ensuring that core pages (homepage, about, product/service) contain "at least 300 words of conversational copy."

3. Ensuring Site Crawlability and Accessibility

For AI tools to cite content, they must first be able to access and process it. The document stresses the importance of making a site "crawlable," which benefits both traditional SEO and GEO. Users should "check if your homepage is being crawled" and utilize tools like https://www.xml-sitemaps.com or their CMS's built-in features to verify AI accessibility. A bonus tip is to "submit your sitemap to Bing Webmaster Tools, it feeds ChatGPT results."

4. Building Expertise, Authoritativeness, and Trust (E-E-A-T)

AI favors credible sources. To build "Experience, Expertise, Authoritativeness, and Trust" (E-E-A-T), content creators should "add author bios, credentials, testimonials, and press mentions." This signals to AI that the information is from a knowledgeable and trustworthy source.

5. Clearly Articulating Your Offer on the Homepage

The homepage is critical for AI citation. It "should clearly state who you help, what you offer, and how it helps." This concise explanation is "the content most often pulled into AI answers." An example provided is: “At CMO Growth Guide, we help early-stage founders grow with simple, scalable marketing systems, without hiring a marketing team.”

6. Creating Evergreen Explainer Content

AI tools are particularly keen on citing content that answers fundamental questions. The checklist advises writing blog posts that address "what is" or "how to" questions related to your offer. "AI tools love citing evergreen explainers," especially when they are "formatted cleanly with headings and bullet points."

7. Establishing Strong Internal Linking

AI scrapers track the connections between pages to understand context. To aid this, the homepage should be linked to key sections like "About, Services, Blog, and Contact pages to help build context."

8. Cultivating Third-Party Validation (Citations)

Beyond on-site factors, external validation is crucial. Even "AI scrapers need third-party validation." This can be achieved by getting mentioned on "podcasts, blogs, guest posts, directories, or industry sites."

9. Incorporating Quotable Snippets

AI is designed to generate concise answers, often by extracting "snippets." To be highly quotable, content should "sprinkle in original stats, short quotables, or bold statements across your site that make you quotable." The example given is: “AI search is the new front page of the internet—and most sites are invisible to it.”

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n8n: Beyond Basic Automation - A Briefing Document

Overview

This briefing document summarizes key themes and innovative applications of n8n, an open-source automation platform. The provided source, "Ten N8n Automation Workflows: Beyond Zapier," highlights n8n's capabilities that extend far beyond simple integrations, emphasizing its flexibility, cost-saving potential, and ability to create complex, "insane" workflows without extensive coding.

Main Themes

1. Open-Source and Flexible: n8n is repeatedly positioned as an "open-source, insanely flexible" platform, distinguishing it from proprietary alternatives like Zapier. Its open-source nature means it is "Free to start. Infinite to scale."
2. Beyond Traditional Automation: The core message is that n8n allows users to "build automations you didn’t think were possible without writing 10,000 lines of code." It's not just a "fancier Zapier," but a tool for "next-level" workflows that "save hours, cut costs, and unlock workflows you didn’t think were possible."
3. AI Orchestration and Integration: A significant theme is n8n's powerful integration with AI, particularly Large Language Models (LLMs). It acts as an "AI traffic cop," routing requests to "the smartest model every time," and leveraging AI for various tasks from content generation to database creation.
4. Data Management and Insights: n8n empowers users to manage, analyze, and visualize data more efficiently. This includes scraping, summarizing, reporting, and generating dashboards from various sources, making data more accessible and actionable.
5. Efficiency and Time-Saving: Across all examples, a consistent benefit is the drastic reduction in manual effort and time spent on repetitive or complex tasks. Workflows are designed to be "one click. Done." and eliminate "scheduling hell" or "scrubbing through videos like a caveman."
6. "Orchestrator" Role for Complex Systems: n8n is described as the "conductor of your automation orchestra," capable of triggering external scripts (e.g., Python) and APIs, and chaining multiple services into "one smooth flow." It doesn't have to "do all the heavy lifting itself" but rather integrates and manages diverse components.

Most Important Ideas/Facts and Key Use Cases

The source outlines ten "insane n8n use cases" that illustrate its advanced capabilities:

1. AI Workflow Router:

• Concept: Automatically directs AI requests to the optimal LLM based on the task (e.g., Claude for summarization, GPT-4 for coding).
• Benefit: "Saves API costs," "Always uses the most accurate model," and "Scales perfectly if you work with multiple AI tools." This is like "having a personal AI traffic cop."

1. Automated Deep Research Assistant:

• Concept: Given a topic, n8n "scrapes the web -> summarizes key points -> generates a clean, formatted PDF report -> emails it to you."
• Benefit: Ideal for students, founders, and writers, enabling "One click. Done." research reports.

1. Search YouTube Like Google:

• Concept: Grabs YouTube video transcripts, stores them in a vector database, and makes them fully searchable.
• Benefit: Eliminates the need to "scrubbing through videos like a caveman" by providing "timestamped results" for keywords.

1. Auto-Generate Dashboards from Google Sheets:

• Concept: Pulls live data from Google Sheets to "Auto-create graphs & charts" and "Send weekly visual reports to Slack or email."
• Benefit: Transforms "boring" spreadsheets into dynamic dashboards for finance, product, or client reporting.

1. Build Databases with Plain English:

• Concept: Uses AI to instantly set up databases (e.g., Airtable) by simply describing the desired structure in natural language.
• Benefit: "Zero manual schema design. Zero headache." Users can literally say, "I want a database to track customer orders, status, and payments," and n8n + AI handles the setup.

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Google VEO 3 Briefing Document by Jason Wade, NinjaAI - AI SEO, GEO and AEO in Lakeland, Florida

I. Executive SummaryThis briefing document provides a comprehensive overview of Google's new VEO 3, an advanced AI video model that generates 8-second video clips with native audio from text prompts. VEO 3 offers unprecedented creative control and versatility, enabling users to create high-quality, short-form video content with detailed visual and auditory elements. It can be accessed through two primary interfaces: Google Flow (a professional filmmaking tool) and Gemini (for single clip generation). The key to maximizing VEO 3's potential lies in crafting detailed, scene-like prompts that incorporate a specific formula for optimal results.II. Key Themes and Important Ideas/Facts1. VEO 3: Next-Gen Text-to-Video with Native AudioCore Functionality: VEO 3 is a "next gen AI video model" that converts text descriptions into 8-second video clips.Native Audio Integration: A significant advancement is VEO 3's ability to produce "sound effects, background noise, even character dialogue" to match each clip, unlike earlier models that created silent clips.Short-Form Content: Each clip is currently "limited to about 8 seconds," making it ideal for short-form video content.2. Accessing VEO 3: Flow and GeminiTwo Main Interfaces: Google provides "two main ways to use VEO 3: Flow and Gemini."Google Flow (Pro Filmmaking Tool):Described as a "pro filmmaking tool built around VEO 3."Offers a "dedicated interface... where you can storyboard scenes, manage assets, tweak camera moves the works."Allows "fancy things" like uploading/generating character images for consistency, controlling camera angles and motion paths, and using "scene builder to extend the clips seamlessly into the next part of the story."Essentially an "AI video studio for filmmakers."Availability: Primarily for "Google AI Pro or Ultra subscription" holders in certain regions.Tiered Access: Pro subscribers get "VEO 3 fast speed optimized version with sound slightly lower quality," while "only the ultra tier unlocks VEO 3 fully."Gemini (Single Clip Generation): Used for "single crazy clip" generation, demonstrating its ease of use for quick, imaginative videos.3. Mastering VEO 3 with Detailed Prompt EngineeringPrompting as "Tiny Movie Scene Description": To achieve the best results, users "need to craft your prompts like a tiny movie scene description."Essential Prompt Formula (Checklist): The tutorial highlights a specific formula for detailed prompts:Subject: "who or what is in the scene"Action: "what the subject is doing"Context: "setting where and when is this happening"Motion/Camera Movement: "how the scene is shot and moves"Style: "the visual style or genre"Framing/Composition: "how the shot is framed"Constraints/Extras: "any additional details or instructions"Audio Specification is Crucial: "VEO 3 will generate sound to match your scene but only if you tell it what you want to hear." Users should append an "audio double colon section in the prompt describing sound effects, background noise or dialogue lines."Dialogue Specificity: Dialogue can be specified "explicitly word for word or implicitly like a man introduces himself and let the AI make up the words."

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Churches - Using AI SEO to grow your Congregation - Religious marketing by Jason Wade, NinjaAI

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Florida Window and Door AI SEO Marketing Agency NinjaAI - Orlando, Tampa, Miami, Lakeland, Global

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Westgate Timeshares Profile by Jason Wade, Founder Ninja AI in Orlando, Lakeland, Tampa, Miami