15 High-Leverage Ways to Make Money with ChatGPT Agent Mode

Imagine having a tireless team of experts working 24/7 on your business for the cost of a pizza. That’s the promise of ChatGPT’s new Agent Mode – a game-changing update that lets you deploy multiple AI “agents” to handle complex tasks autonomously. For just $20 a month, you essentially get a squad of PhD-level assistants who never sleep.

These agents can browse websites, crunch data, draft content, send emails – you name it – often completing 8+ hours of work in minutes. Savvy entrepreneurs are already using this to automate entire income streams, while others are still asking ChatGPT to “write a poem”. The window of opportunity is wide open right now, and in this article, we’ll explore novel, high-leverage ways to make money with ChatGPT Agent Mode before everyone else catches up.

1. Content Empire on Autopilot (Automated Niche Websites)

Why limit yourself to one blog when an AI agent can run an entire network of niche sites? With Agent Mode, you can automate the research, writing, and even posting of SEO-optimized articles across multiple websites. Pick underserved niche topics (e.g., urban gardening, vintage toys), and have your agent pull trending questions or keywords and generate quality blog posts around them. Monetize with display ads or affiliate links as the traffic rolls in.

• Why it’s High-Leverage: An agent can produce consistent content at scale – daily posts that would overwhelm a human writer. It tirelessly researches current trends and long-tail keywords to keep your sites relevant.
• Tips: Use one agent to gather facts and another to draft polished articles for accuracy. Feed the agent style guidelines or examples so the tone stays human and engaging (no generic robo-content!). Consider an agent that also updates older posts with new info to keep content evergreen.

Agent Mode Prompt Idea: “Research the 5 most asked questions this week [your niche] on forums and social media. For each question, draft a 1,500-word blog article that answers it in depth, including SEO keywords and a friendly, expert tone. Provide a catchy title and meta description for each post.”

2. Faceless YouTube Video Factory

YouTube “cash cow” channels thrive on constant content – and an AI agent is the ultimate scriptwriter. In this method, your agent finds trending topics or keywords in your chosen genre (tech reviews, travel hacks, history stories, etc.) and generates engaging video scripts on command. You can then use text-to-speech and stock footage (or AI-generated visuals) to produce faceless videos in bulk. The result? A steady stream of videos that earn ad revenue and grow subscribers with minimal human effort.

• Why it’s High-Leverage: The agent handles research, scriptwriting, and even SEO optimization (titles, descriptions, hashtags) for each video. This lets you drop content daily or even multiple times a day – a volume virtually impossible without a team.
• Tips: Instruct the agent to write in a “hook and retain” style (strong intro, cliffhangers, intriguing facts) to boost watch time. Have it suggest visuals or B-roll ideas for each part of the script. Use another agent to monitor comments for feedback or new video ideas. Consistency is key: stick to a niche so the AI can fine-tune the tone and your channel builds authority.

Agent Mode Prompt Idea: “Find a viral topic in the [your niche] space (based on Google Trends or recent news). Create a YouTube script ~8 minutes long: include a compelling hook in the first 30 seconds, an outline of key points, and a concise summary. Suggest visuals or examples to show for each section. Optimize the script with a few high-traffic keywords.”

3. AI-Driven Affiliate Marketing Machine

Turn ChatGPT Agent Mode into a tireless affiliate marketer. The agent can identify promising products (from Amazon, niche marketplaces, etc.), research user reviews and features, then generate in-depth comparison articles or product reviews that drive readers to buy via your affiliate links. For example, an agent could compile the “10 best noise-cancelling earbuds” with pros/cons from hundreds of customer reviews, summarized in seconds. You earn a commission every time someone clicks and purchases.

• Why it’s High-Leverage: It creates passive income content on autopilot. The agent’s ability to parse lots of reviews means your product round-ups will be comprehensive and data-driven (which builds reader trust). It can also update lists with new products or prices without your input.
• Tips: Focus on niches where buyers do a lot of research (tech gadgets, outdoor gear, pet products). Have the agent pull real user sentiments (e.g., common praises or complaints) to enrich the reviews. Use a consistent template for product posts so the agent knows to include rating, specs, etc. Don’t forget to have it insert your affiliate disclaimers and calls-to-action for ethical, effective monetization.

Agent Mode Prompt Idea: “Identify 5 high-rated products in the [product category] niche with moderate competition. For each, write a detailed review covering features, benefits, any common issues (based on customer feedback), and why it’s worth buying. Conclude with a comparison of who each product is best suited for. (Assume I will add affiliate links to each.)”

4. Autonomous Lead Prospector (Local Business Goldmine)

Sales and marketing agencies spend countless hours hunting for leads – your ChatGPT agent can do it in a flash. As an autonomous lead prospector, an agent scours the web for businesses that fit specific criteria (for instance, restaurants in Chicago with poor Yelp reviews, or retailers with outdated websites). It can then compile a targeted lead list complete with contact info. One real example is using an agent to find local businesses with old websites in need of a redesign – a “website goldmine” of pre-qualified leads who already value an online presence and are likely to pay for an upgrade.

• Why it’s High-Leverage: You get highly qualified leads without cold calling. The agent cross-references multiple sources (business directories, social media, Google Maps) to pinpoint businesses that meet your criteria, and delivers a ready-to-use CSV list in minutes. Such a list could normally cost hundreds of dollars from a data provider, but your AI just generated it with a single prompt.
• Tips: Niche down your search filters for stronger leads (e.g., “plumbers in Paris with websites older than 5 years”). Have the agent enrich the data – owner’s name, email, and even phone if available. This becomes gold for either your own outreach or to sell as a lead package to businesses. Always verify a few entries for accuracy, and update your prompts if the agent gets any field wrong (e.g., confusing business names).

Agent Mode Prompt Idea: “Gather a list of 25 local businesses [city] that have a website but likely need a redesign (e.g., outdated look or not mobile-friendly). For each business, provide the name, owner (if findable), website URL, contact email, and phone number. Deliver it in CSV format, ready to import into a CRM.”

See Related: The Ultimate Guide to Financial Freedom with ChatGPT

5. Hyper-Personalized Cold Emails at Scale

Writing a generic marketing email is easy – writing one that feels personally crafted for each recipient is the hard part. ChatGPT agents excel at this by digging up personal tidbits on your prospects and weaving them into outreach messages. You can offer a “done-for-you” service where the agent researches each lead’s background (from LinkedIn, news, etc.) and then drafts a compelling cold email that reads like you spent hours on it. One guide calls this the “creepy-good” cold email machine, where the agent found even the prospect’s hobbies and accolades to mention, resulting in emails that are “too personal to ignore”.

• Why it’s High-Leverage: You can dramatically boost response rates by emailing 50 or 100 prospects with individually tailored messages – something no human could do at scale. The agent automatically includes details that flatter the recipient (“Congrats on your recent award…”) or address their specific needs, making your pitch stand out in a crowded inbox.
• Tips: Feed the agent each prospect’s name and company and ask it to find one unique talking point for each (a recent achievement, a shared interest, etc.). Emphasize a friendly but professional tone – you want personal, not creepy. If you’re doing this as a service for clients, maintain a library of successful email prompts/formats. And always double-check the facts the AI pulls in (no one likes an email with inaccurate info about them!).

Agent Mode Prompt Idea: “For each person on this list (with name, business, and title provided), research their online presence – company site, LinkedIn, and any recent news. Then, draft a personalized outreach email offering [Your Service]. Make each email genuine and specific, mentioning something unique about their work or achievements. Aim for a warm, professional tone and end with a clear call-to-action for a meeting.”

6. Executive Briefing Assistant as a Service

Busy executives and professionals often pay handsomely for research assistants or briefing docs – now an AI agent can be that intelligence officer for multiple clients at once. In this role, you’d charge a monthly retainer (say $200/month) to prepare daily or weekly briefing documents for an executive. The agent can pull details from the exec’s calendar, emails, and relevant news sources to produce concise prep for each meeting: background on attendees, recent developments in their industry, even suggested questions to ask. Essentially, it’s a virtual Chief of Staff that never forgets a detail.

• Why it’s High-Leverage: You (and your agent) can handle the workload of an entire support team, for multiple clients simultaneously. By automating the grunt work – reading reports, Googling contacts, summarizing emails – the agent frees you to focus on higher-level relationship management. Clients get top-notch preparation without hiring a full-time assistant, and you collect recurring revenue for running the agent in the background.
• Tips: Specialize in a domain if you can (e.g., an AI assistant for healthcare executives that stays on top of medical news). Set up connectors: have the agent access a shared folder of meeting agendas or integrate with a calendar API if possible, so it always has fresh context. Privacy is key here – ensure any sensitive data stays secure in the agent’s workflow. As a finishing touch, polish the agent’s output formatting so the briefings are immediately presentation-ready for your client.

Agent Mode Prompt Idea: “Using my calendar and notes, prepare a briefing for tomorrow’s meetings. For each meeting: list the attendee names & titles, a 2-3 sentence summary of their company (or project), any recent news about them or their industry (cite source), and 3 suggested talking points or questions I can bring up. Format it as a clear report I can review over coffee.”

7. Automated Competitor Intelligence Reports

In the past, only big companies could afford continuous competitor analysis – now your AI agent can offer it as a subscription service. Imagine delivering a monthly “competitor intelligence dossier” to businesses, highlighting their rivals’ latest moves: product launches, pricing changes, customer sentiment on social media, etc. With Agent Mode, you can have the AI monitor news sites, press releases, review sites, and even scrape competitors’ websites for updates, then compile a concise report. All you do is set the parameters and let the agent work its spycraft.

• Why it’s High-Leverage: It’s a high-value service with low ongoing effort. Clients get actionable insights without hiring analysts, and you get a steady income by essentially automating Google searches and data crunching. One example blueprint is offering automated deep-dive reports on a company’s top 3 competitors every month – something that would normally take a team of researchers, but your AI can handle automatically.
• Tips: Clearly define to the agent what info matters: e.g., “Look for any new product announcements, any customer review trends (complaints/praises), changes in website messaging, etc.” Use multiple agents or rounds – one to gather raw data snippets, another to summarize and highlight implications (“Competitor X’s new feature might attract budget-conscious customers – consider responding with a discount plan.”). Ensure the final report is easy to read (use bullet points, sections for each competitor) because executives will skim it.

Agent Mode Prompt Idea: “Act as a competitive intelligence analyst. For the following companies (my client’s top competitors: [List of 2-3 competitors]), gather any important updates from the past 30 days: news articles, press releases, product updates, changes in marketing strategy, or notable social media buzz. Summarize each competitor’s activities in a report, and include a brief analysis of what these moves could mean for our strategy.”

8. E-Commerce Product Research Guru

Successful online sellers live and die by good product research. Here’s where your ChatGPT agent becomes a product research guru for platforms like Amazon, Etsy, or Shopify. It can analyze hundreds of customer reviews in minutes to identify unmet needs or complaints. It can scan sales rankings, track trending keywords, and even spy on competitors’ listings. You could monetize this in two ways: use it for your own e-commerce business to find your next best-seller, or offer reports to other sellers as a paid consultant (e.g., “New Product Opportunity Analysis” for a fee).

• Why it’s High-Leverage: Instead of manually reading reviews or copying data into spreadsheets for hours, the agent does the heavy lifting instantly. One agent can tell you that, say, customers love a product except for one missing feature, which becomes your golden idea for a new product. Consultants are already using this approach to find market gaps and deliver detailed reports to Amazon sellers. These are revenue-driving insights that used to require expensive market research, now made cheap and fast.
• Tips: Be specific with what the agent should look for: “common complaints about product X”, “features people wish they had”, “which keywords frequently appear in 5-star vs 2-star reviews”. Use the agent to compare multiple competing products side-by-side to spot patterns. If doing this for clients, present the findings as a clear list of recommendations (e.g., “Focus on a blender that addresses ‘noise’ complaints and advertises that feature, since 40% of reviews mention noise issues”). Combining data analysis with the agent’s natural language summaries gives a one-two punch of stats and a clear narrative.

Agent Mode Prompt Idea: “Analyze customer reviews for the top 3 selling [product] on Amazon. Identify recurring complaints or suggestions customers have (e.g., features they wish were better). Also, note what users love the most about each. Then, write a summary identifying a potential opportunity for a new or improved product in this category, based on the gaps in customer satisfaction.”

9. Instant Pitch Deck and Proposal Creator

When it comes to winning clients or investors, speed and polish are everything. With Agent Mode, you can offer a service to create investment pitch decks or project proposals in record time. Provide some basic info (the business idea, key stats, goals) and have the agent generate a structured pitch: problem statement, solution, market size, competitive advantage, financial projections, etc., all articulated in persuasive language. It can even suggest slide layouts or imagery. In fact, pairing the agent’s market research with design tools, you could deliver a full slide deck in 24 hours – something already being done by AI-powered pitch deck services.

• Why it’s High-Leverage: Founders normally spend weeks polishing a pitch deck; your AI agent can cut that down to a day. This means you can take on multiple clients or projects at once. For freelancers and agencies, it’s a standout offering (and a great premium upsell) to say “we’ll craft your investor-ready pitch overnight.” The agent ensures no important section is missing and can tailor the tone for different audiences (more technical for VCs, more story-driven for crowdfunding, etc.).
• Tips: Always start by feeding the agent a structured outline of a deck so it follows the proper flow. Have it include real data – if you give it market research or financial numbers, it should weave those in convincingly. You might use one prompt for content and another for editing: first get all the raw text, then prompt the agent to tighten the language and add compelling phrasing or analogies. The AI can draft content, review for accuracy (especially any figures or claims), and add an attractive design before delivering to the client.

Agent Mode Prompt Idea: “Here are the key points about a startup: [bullet list of business idea, target market, value prop, some metrics]. Act as a professional pitch writer and produce a 10-slide pitch deck outline. Include sections: Title, Problem, Solution, Market Opportunity (with any relevant stats you know), Product/Tech, Business Model, Competition, Team, Financial Projections, and Closing. Write the text content for each slide in a persuasive, investor-friendly tone. Keep it concise (bullet points where appropriate).”

10. Social Media Content Factory

In social media marketing, consistency and relevance rule – and an AI agent can supply both at scale. As a Social Media Content Factory, your agent will plan and generate posts across platforms (Twitter, LinkedIn, Instagram, etc.), tailored to each channel. It can churn out a week’s worth of catchy tweets, insightful LinkedIn updates, or Instagram captions in one sitting. Better yet, the agent can also find trending topics or hashtags to piggyback on for maximum visibility. The result: you (or your clients) maintain an active social presence that drives traffic and leads, without a dedicated social media team.

• Why it’s High-Leverage: The agent’s ability to instantly adapt content to different styles means you can multiply your reach without multiplying work. For example, it can repurpose a blog post into a Twitter thread, a LinkedIn article summary, and an Instagram infographic caption all in one go. Keeping up with trends is another superpower – the agent can be prompted daily to check what’s trending and draft a quick post to join the conversation, something that would normally eat up hours of a marketer’s time.
• Tips: Provide the agent with your brand voice guidelines (professional, witty, inspirational, etc.) so the tone stays consistent. Leverage scheduling tools; some agents can plug into APIs, or you can manually take their output and load up a scheduler for the week. Use one prompt to brainstorm content ideas for the week (“5 post ideas relevant to my audience and current events”) and subsequent prompts to expand each idea. Always double-check anything that could be sensitive – e.g., if commenting on news, ensure the agent got the facts right to avoid social media faux pas.

Agent Mode Prompt Idea: “Act as a social media manager for a [industry] brand. Come up with 3 Twitter posts, 2 LinkedIn posts, and 2 Instagram captions for this week, focusing on trending topics or tips that would interest our audience. Keep the tone [e.g. humorous yet informative]. Each should include relevant popular hashtags and a call to action or question to encourage engagement.”

See Related: ChatGPT Mastery: 5 Innovative Ways to Earn Money

11. AI-Powered Micro-SaaS Builder

You don’t need a full engineering team to build and sell software tools anymore – a ChatGPT agent paired with a savvy human can become a software startup of two (or one). In this approach, you use Agent Mode to handle chunks of coding, debugging, and documentation for a small-scale software product (a micro-SaaS app, a browser extension, a simple mobile app). For instance, you might have an idea for a tool that automates social media reports for bloggers. You can prompt the agent to generate the code modules, find and fix errors, and even create user instructions. With a bit of glue and testing from you, the MVP can be ready to launch in days. Sell it as a subscription or one-time download, and you’ve got a tech business without hiring developers.

• Why it’s High-Leverage: You’re essentially turning AI into your software engineer and QA tester. It can write boilerplate code quickly, leaving you to focus on features and user needs. You can bring products to market faster than traditional development teams, which means you can also test more ideas with less risk. Many simple SaaS apps are “thin wrappers” over an API – now you can create those wrappers with ease and claim the revenue, instead of buying someone else’s tool.
• Tips: Break development into clear steps. For example, first prompt the agent to outline the architecture or user flow. Then tackle one feature at a time with specific prompts (“Write a Python function that does X”). Always run and test the code; if it fails, feed the error back into the agent for debugging (it’s surprisingly good at fixing its own code). Focus on niche problems that big software overlooks – your AI-built micro-SaaS should solve a specific pain point for a specific audience. Lastly, use the agent to draft marketing copy and tutorials for your tool, so you can start selling it immediately.

Agent Mode Prompt Idea: “You are an expert software engineer agent. Design and implement a simple web app [AppName] that does the following: [describe core functionality]. Provide the code in [language/framework], and include comments. After coding, outline how to deploy it (e.g., requirements, setup steps) and suggest a brief user guide. If there are errors in execution, analyze and fix them.”

12. Custom AI Agents for Niche Industries

While everyone else uses generic ChatGPT, you can profit by creating specialized AI agents fine-tuned for specific industries or business functions. Think of them as out-of-the-box digital employees you can rent or sell. For example, an agent trained on real estate data that handles 80% of a realtor’s tasks – responding to leads, scheduling showings, drafting listings. Or an agent for medical clinics that answers patient inquiries, schedules appointments, and files insurance forms. The key is context: you load the agent with industry-specific knowledge and tools (calendar access, FAQ databases, etc.), and it becomes a turnkey solution that might replace several roles in that field. Businesses could subscribe to your custom agent service to save on hiring, and you enjoy scalable income by cloning the agent for multiple clients.

• Why it’s High-Leverage: This is essentially productizing AI expertise. Instead of consulting for one company, you build an agent template that can serve dozens. Each niche agent can perform like a highly trained specialist in that domain (thanks to the focused data you feed it), but it costs a fraction of a human employee. As one AI expert noted, the power is in “brilliant context engineering – feeding the agent the right information at the right time within its specific domain”. Do that well, and your agent can run a significant chunk of an operation autonomously.
• Tips: Start by identifying a niche with repetitive digital workflows (law firm intake, e-commerce customer support, logistics scheduling, etc.) where an AI could take over. Gather the essential knowledge base or integrate relevant APIs (for example, the EV charger installer agent needed to pull from a calendar and a CRM). Keep a human-in-the-loop option for complex cases initially, to build trust that your agent won’t go rogue. And importantly, highlight ROI: if your $500/month AI agent replaces a $3,000/month employee for a client, it’s a no-brainer purchase.

Agent Mode Prompt Idea: “You are a specialized AI agent for [Industry]. Your job is to handle [key tasks] for a business, using the provided knowledge and tools. Continuously learn from each interaction. For example, for a real estate agent: answer client questions using the housing FAQ data, schedule appointments on the calendar, draft follow-up emails, and log updates in the CRM. Optimize for efficiency and customer satisfaction in all responses and actions.”

13. Freelance Workflow Automator

Freelancers and solopreneurs can supercharge their earnings by using an AI agent as an all-in-one support staff. The idea here is to automate the business of freelancing so you spend more time billing work and less time on admin. An agent can scan freelance job boards (Upwork, Fiverr, LinkedIn gigs) to find opportunities that match your skills, then draft personalized proposals or bids for each. It can maintain a pipeline by following up on old leads, scheduling your work calendar, and even generating first drafts of deliverables (code, design outlines, blog post drafts) that you can then refine. With an agent handling the drudgery, you’re free to take on more clients or higher-value projects.

• Why it’s High-Leverage: More gigs, less grind. Landing just one extra project a month because your agent found and pitched it for you can significantly boost income. Plus, by automating proposal writing and other non-billable tasks, you reclaim hours each week – hours you can either spend doing paid work or improving your skills. Essentially, the agent lets you scale yourself without hiring an assistant.
• Tips: Train the agent with examples of past proposals that worked, so it learns your style and can highlight your portfolio and skills effectively for each pitch. Use it to organize and prioritize leads (e.g., scoring job postings by relevance and budget). Also, have the agent draft routine communications: project update emails, invoice reminders, contract templates, etc. Always add a personal touch when needed – the agent gives you a head start, but make sure final proposals or messages still sound like you. Over time, you can refine the prompts to improve quality: note which agent-written proposals win jobs and tweak accordingly.

Agent Mode Prompt Idea: “I’m a freelancer specializing in [your field]. Scan the latest postings on [platform] (provided as text or RSS feed) and identify those that fit my expertise. For each suitable job, draft a personalized proposal: greet the client by name if available, briefly mention their project details to show understanding, highlight how my skills and past experience make me the ideal candidate, and end with a polite call-to-action. Also, list any clarifying questions I should ask about the project. Keep each proposal under 300 words.”

14. Content Repurposing & Localization Machine

One piece of content can be recycled into ten with an AI agent, unlocking new audiences and income streams. Envision this: you have a great blog post or webinar transcript. Your agent can turn that into a Twitter thread, a LinkedIn article, an email newsletter issue, an infographic outline, and translate the original into Spanish and Mandarin. This content repurposing not only amplifies your reach (more traffic and subscribers = more revenue), but also can be a service you offer to content creators and businesses. Many creators struggle to keep up with all platforms; you hand them a pack of ready-to-post content adaptations. Similarly, companies expanding globally need quick translations that maintain tone and context – your agent can localize marketing copy or documentation in seconds.

• Why it’s High-Leverage: You create once, earn repeatedly. By maximizing each content piece’s lifespan and audience, you get better ROI on content creation. Clients will pay for this efficiency – it’s cheaper than hiring separate copywriters/translators for each format and language. And Agent Mode ensures quality by understanding context (it won’t translate literally when a cultural nuance is needed, if you prompt it right). For instance, you can task it to adapt idioms to the local equivalent, so the Spanish version of a post reads as if originally written in Spanish, not like a clunky translation.
• Tips: Maintain a checklist of formats: e.g., “For each source content, create: a 5-tweet thread summary, a 1-minute video script, a Q&A-style blog post version, etc,” so the agent knows exactly what to produce. When translating, give it guidelines about formality and target region (Spanish for Spain vs. Latin America). Use the agent to also update references or examples in the content for each audience – maybe your US-centric post needs a different example for European readers. If offering this as a service, showcase how repurposing boosts engagement (you might cite that repurposed content often means 3x the visibility, if you have data). The agent does the bulk, but always does a quick review of each piece to ensure it’s on point.

Agent Mode Prompt Idea: “Here is a source content (provided below). Repurpose and localize it into multiple formats: 1) a series of 5 tweets capturing the key points in a catchy, conversational way; 2) a short LinkedIn post highlighting the main insight for a professional audience; 3) a brief email newsletter version (200 words) with a friendly intro and summary; 4) translate the original content into Spanish, making sure to adapt any cultural references or idioms for a Spanish audience. Maintain the original message and tone in each format.”

15. Automated Online Course Creator & Tutor

Online education is a booming market, and an AI agent can help you tap into it faster by acting as your content developer (and even as a tutor for students). In this scenario, you use Agent Mode to generate course materials at lightning speed – lesson outlines, lecture scripts, quizzes, even slide content. What might take an educator months to write, your agent can draft in a day. You can then record or compile the content into a polished course to sell on platforms like Udemy or Coursera, or via your own site. Additionally, you could deploy an agent as a 24/7 AI tutor that answers student questions or provides feedback on exercises, which becomes a selling point for your course or a subscription service on its own.

• Why it’s High-Leverage: You dramatically reduce time-to-market for educational products. If you see a trending skill or knowledge gap, you can be the first to publish a course on it by letting the AI do the heavy lifting on content creation. This means more opportunity to earn from early-mover advantage. Plus, the agent can ensure the material is comprehensive by pulling from vast sources (it’s like having a research assistant professor on call). As a tutor or Q&A assistant, the AI adds value for learners without you having to personally coach every student – enabling you to serve hundreds or thousands of learners simultaneously.
• Tips: Outline your course curriculum first and have the agent fill in each module one by one to stay organized. Prompt it to include stories, examples, or analogies to keep lessons engaging (AI is surprisingly good at coming up with relatable examples when asked). Use one agent to create content and another to generate practice exercises or quizzes with answers. If deploying an AI tutor chatbot, make sure to fine-tune it with your course content and a friendly teaching style so it doesn’t go off-script. Always review the content for accuracy – especially in technical or academic subjects – and consider adding your personal insights to differentiate from a purely AI-generated course.

Agent Mode Prompt Idea: “I’m creating an online course on [Topic] for beginners. Generate a detailed course outline with around 10 lessons, then draft the script/lecture notes for Lesson 1 as an example. The script should explain the key concepts in simple terms, include an example or analogy, and be about 1,000 words long. Also, suggest 3 quiz questions for Lesson 1 with correct answers. Write in an encouraging, clear tone as if I’m a friendly expert teacher.”

See Related: ChatGPT for Creatives: Monetize Your Art and Writing Skills

How Will You Use ChatGPT Agent Mode?

The rise of ChatGPT’s Agent Mode signals a new era where individuals can harness AI as an “autonomous workforce” to achieve what used to require entire teams. From generating passive income streams to launching new digital services, the 15 strategies above barely scratch the surface of what’s possible. The common thread is leverage – using AI to multiply your output and earnings with less effort.

As one tech observer put it, “Yesterday, you’d need a $7,000/month team to do all this. Today, you need twenty dollars and the ability to write a clear sentence.”. The opportunity is unprecedented, but it won’t remain untapped for long. The entrepreneurs who act now, experiment with these agent-powered workflows, and refine them into real businesses will surf the coming AI wave – and make money while others are still wondering if ChatGPT can do more than write poems. Your move.