First, regarding the feasibility of AI computing personal advantage opportunities; Second, regarding the practical path to achieving the automation of "topic selection - creation - publication".
Part One: Can AI "calculate" the Best Opportunities for Individuals?
The conclusion is: It is completely possible and this is becoming a reality, but the key lies in the method of "calculation" and the required input.
AI cannot calculate your chances out of thin air, but it can serve as a super decision support system. Its logic is similar to that of the "American Computing Advantage Industry", but it needs to incorporate personal dimension data.
The implementation path is as follows:
Specifically, you need:
Define your "personal data" : You need to clearly sort it out and tell the AI
Hard power: Your core skills, work experience, areas of professional knowledge, available funds and resources.
Soft power: Your interests, personality traits (whether you are good at sales, communication or research), values (whether you pursue high income or work-life balance).
Constraints: The amount of time you can invest each day/week, the risk level you can tolerate, and the expected return period.
Clarify the AI's analysis tasks: Then, you can command the AI to perform the following analysis tasks based on the above data:
Scan macro trends: Analyze policy reports and industry research reports to identify growth industries related to your skills (such as new energy, AI applications, and the silver economy).
Match micro demands: Crawl recruitment websites (high-end positions), e-commerce platforms (detailed product demands), and content platforms (hotspots of knowledge payment) to identify the "niche markets" with strong demand and unsaturated competition.
Conduct cross-analysis: Match your personal data with market data and provide specific, stratified suggestions. For example:
You have a background in electronic engineering and writing skills. Currently, there is a scarcity of content on "Smart Home Solution Evaluation". Suggestion: Based on your website, focus on this field, establish authority through in-depth evaluation, and the profit models include affiliate marketing (e-commerce platform links), manufacturer sponsorship, and paid reports.
Get dynamic advice: The market is constantly changing. You can use the same model regularly (such as every quarter), allowing AI to reanalyze in combination with new data and dynamically adjust your direction.
Essentially, you are using AI to build a personal, dynamic "strategic decision-making think tank" that belongs to you.
Part Two: How to Achieve Full-process Automation of "Topic Selection - Creation - Publication"?
The conclusion is that it is technically feasible to fully implement "one-click release" to all platforms, but it requires the development of a lightweight integrated tool (or a combination of existing tools), rather than a complex APP written from scratch.
The following is a comparison of the two implementation paths:
Feature Option A: No-code tool combination (recommended starting option) Option B: Custom development of lightweight applications
The core idea is to utilize existing cloud tools that support apis for "splicing". Write a central scheduler (such as a Python script) to call various apis.
The required technology does not require programming, but it is necessary to understand the logic of each tool and the configuration of API keys. Python/JavaScript and other development skills are required, or developers can be hired.
Workflow illustration: Zapier/Make + DeepSeek API + WordPress/Joomla API + social media publishing tool Custom script call DeepSeek API -> Process content -> Call official apis of each platform for publishing.
Advantages: Fast, low cost, flexible adjustment, and no need to maintain the server. It has an extremely high degree of freedom, allowing for complete customization of the process, and the data is in your own hands.
The drawback is that it is limited by the API limitations of each tool and may require payment for advanced functions. The development has an initial cost and requires self-maintenance and handling of API changes on various platforms.
The estimated cost and time are approximately $30 to $100 per month (tool subscription fee), and the test can be set up within 1 to 2 days. The development cost is approximately several thousand to tens of thousands of RMB, and the processing time is 1 to 4 weeks.
Detailed setup steps for Plan A (no-code Composition) :
You can immediately follow this process to explore
Hub: Create an automated platform account, such as Zapier or Make.
Trigger: Set a trigger on the platform, such as "When a new topic line is added in Google Sheets".
Generation: Connect to the DeepSeek API through the platform, send the topic selection as a prompt word, and request the generation of an article draft.
Review and Revision: Send the generated draft back to Google Docs or Notion, and you review and revise it online.
Publish to the website: The platform will publish the reviewed articles to your website through Joomla's API or a dedicated plugin (a plugin for API management needs to be installed in Joomla).
Distribution to social media: The platform then publishes the article summary and links to different platforms through the apis of social media management tools such as Buffer and Hootsuite, or the official apis of each platform (for example, wechat official accounts need to use their open interfaces).
🚀 actionable advice for you
Start your personal opportunity analysis right now: You can give it a try by providing me with the "personal data" you thought about in the first part and specifying an analysis direction (for example: "I'm good at embedded development and writing. Please analyze the best profit opportunities that combine these two in the current market"). I can immediately simulate an AI analysis for you.
First, use a semi-automated verification process: Before starting development, it is strongly recommended that you manually run through the entire process of "topic selection - I write - you review - manual release" once. After verifying the content direction and market feedback, consider using automation to enhance efficiency.
Start with the simplest automation: If you decide to automate, begin with Option A (no-code tools) first. Starting from automatic content synchronization to 1-2 major platforms, both complexity and cost are the lowest.
Summary: The direction you have conceived is completely correct and feasible. AI is not about replacing you; rather, it liberates you from information overload and repetitive labor, allowing you to focus more on strategic decision-making and creative exertion. If you have clarified the direction of personal data analysis or determined the initial plan for the implementation of automation, we can continue to delve into the specific operations for the next step.