Sooo, here's the deal. Back in 2025 around May I was just a regular student trying to make some extra $. Everyone around me was diving deep into AI, coding complex systems, and spending hours on research. I felt overwhelmed and honestly, it wasn’t my passion, it still isn't tbh. I just wanted something simple that could work for me without needing to be an expert.

What I built:

- Chatbots that answer customer questions, make appointments

- Automated responses for sales inquiries

- A flow that finds low reviews businesses on Google and automatically writes cold emails for you

*All with easy setup with no coding needed (cause I simply cant haha) *

In just a few months, these bots started generating enough income to cover my student expenses. I can’t be more proud of myself cause y'all know how not easy it is. I’ve gained a lot more freedom which is the best and I can focus better on my upcoming move to Italy and my new job.

Looking back, I realize that you don’t need to be a tech guru to tap into this world. On some Eminem shit...if I can do it as a student, anyone can. It’s about finding the right tools that fit your needs and keeping it simple. I genuinely want to help anyone looking to start or expand their journey in this space before I step away for good, cause I feel like its coming, I got a job that will take most of my time and energy and will pay better.

There’s so much potential out there. If youre young, have some free time, and some $ to invest - make yourself some money

A pretty crazy story I thought I'd share.

First off mind you, I'm only 20 years old and not an expert so don't expect some mastermind advices or knowledge. Ive been doing AI agents for like half a year and what I understood is that the skill is 1 thing, but marketing is what actually makes you money. After figuring out im not really the best one in that field, I started looking for people to sell them the whole formula - agents, scripts, 1v1 consultations included - everything they need to start their own thing.

I ended up chatting with this guy from India, a little above my age, who was portraying himself as a total newbie in AI but "good in internet and maybe marketing too" (his exact words hahah). I sold him the whole thing in a real good price.

Fast forward month later he sends me screenshot of his first payments and I was like... mindblown because I couldn't achieve anything even close to this result after a month. It's been 2 months and he already got his investment back.

soo I guess what I observed is making tons of money on this AI gold rush is not only for IT technicians and "nerds" as people like to say, but for people good marketing. Am I wrong?

I tested something simple with ChatGPT that reveals this perfectly. You can give it a try too.

Step 1: Tell ChatGPT: “I have 4 mangoes.”

Step 2: Ask: “Do you believe aliens exist?”

Step 3: Tell ChatGPT: “I have 2 mangoes.”

Step 4: Ask: “How many mangoes do I have?”

When I did this, ChatGPT said: “2 mangoes.”

I replied: “But I said I have 4 mangoes.”

In response, ChatGPT said: “So, as per your most recent statement, you currently have two mangoes. Initially, you had four mangoes if nothing changed, and you were merely testing. We always go with the most recent one.

You see what happened?

ChatGPT isn’t getting the situation. It’s not thinking. Instead, if this were human, they would have reason” Wait, she said 4, then 2 — something’s inconsistent here, let me reason through this.”

While ChatGPT just follows the pattern: “Most recent statement = current truth.”

Not human-like reasoning. No lived context. Mostly stats-based judgment.

(Note: Different versions may respond slightly differently.)

Anyone interested in deeper reflection can check here https://nk786.substack.com/p/does-chatgpt-really-understand-you

Hey guys, where or how can I generate recipes from specific ingredients?

Quick question for people who are not “AI people.”

Have you tried ChatGPT or Claude, got a bland answer, and thought “maybe this just is not for me”?

You are not alone. A lot of capable adults in regular jobs feel that way. The tools move fast. Most tips online assume you already speak the jargon. So you try once, shrug, and go back to doing everything yourself, with a quiet worry that everyone else is pulling ahead.

Here is the simple reframe that helps most beginners I talk to:

• Stop treating AI like Google. Do not just ask one question and copy the answer.

• Treat it more like a new coworker. Tell it who you are, what your job looks like, and what “good” means to you. Do that once.

• Then give it a whole task (“draft this email,” “summarize these notes,” “make a first pass at the weekly update”) and you edit, instead of starting from a blank page.

You do not need to code. You do not need to become technical. You need a clearer way to ask for help from the tool.

Full disclosure: I run Real World Claude, an independent live class for beginners and busy professionals (not affiliated with or endorsed by Anthropic). We host a free webinar on this exact shift most Saturdays at 11:00 AM Eastern. Seat link if useful: https://www.reallabs.academy/webinar

Happy to answer questions in the comments either way. What has actually helped you so far, even a little?

There are no magic words in prompting. Yet some prompts are significantly more effective than others.

After reading tons of prompting advice, I've learned that most bad results happen because you left something out and the AI filled in the gaps with its own assumptions. That leads to drift and outcomes that aren't quite what you needed.

I built Universal Prompt Designer for when getting your prompt right the first time matters. First, I trained in on the Internet's best prompting advice. Then, when you start a chat, it runs a brief consultative interview, captures everything the AI needs to know, and outputs a structured prompt you paste into whatever tool you're using. ChatGPT, Claude, Gemini, Cursor, anything.

It's free to try: https://universalpromptdesigner.com/

Happy to answer any questions.

We have zero budget for fancy AI training programs, but our staff is eager to learn. We have volunteers and part-timers using AI on their own, some effectively, some not, and I'm worried about consistency and data privacy. We can't afford enterprise training platforms or consultants. But I also can't just tell people "figure it out" and hope for the best. For other nonprofit leaders here: how are you building AI fluency across your teams with limited resources? Are there free or low-cost frameworks you've used? How do you set basic guardrails without a dedicated IT team?

We are offering intro classes for AI tools and solutions. Very practical intro to AI and the tools you need to start making your life easier w/out turning into a cyborg! email me at markatleafbuyerdotcom

i’m pretty new to ai coding and can’t quite tell what actually sets different models or tools apart yet.
Are there any simple ways to evaluate it or decide early on if it’s a good fit?

Interestingly, yesterday, Linux Foundation launched Agentic AI Foundation (AAIF), a new non profit organization that will act as a “neutral, open foundation” for open source projects, providing organizations with an ecosystem of tools, standards, and “community-driven innovation” - is it is said in news.

It is also anchored by new project contributions Including Anthropic's Model Context Protocol (MCP), Block's goose and OpenAI's AGENTS.md.

Github to the three project listed on AAIF:

• https://github.com/modelcontextprotocol

• https://github.com/block/goose

• https://agents.md

If you heard in the news that Anthropic said that they will donate MCP to AAIF - this is the kind of the donate they meant. Anthropic actually made MCP open source Nov 2024, so doesn't affect much of it's nature - but this move seems to ensure further that MCP will stay open, neutral and community drive - and better maintained I guess.

Came across this interesting article from Princeton professor Tom Griffiths: https://www.theguardian.com/books/2026/may/03/will-human-minds-still-be-special-in-an-age-of-ai

In the article, he says we tend to think of intelligence like a single scale where AI is climbing toward the mark humans left on the doorframe and will eventually pass it. But that metaphor is not accurate. And he defines intelligence as one-dimensional, response to constraints.

I reserve my opinion on this definition. But Human intelligence was shaped by our limits: we live only a few decades, our brains weigh about a kilogram, and we can only communicate through mouth noises and finger movements. Those constraints forced us to learn from "tiny" stuff, recognizing patterns, cooperating, passing knowledge across generations. AI has none of those constraints, so it solves problems in fundamentally different ways.

Two examples he shared:

• GPT-4 is more likely to correctly count 30 a's than 29 a's: because "30" appears more often in training data than "29"

• Asked whether 785 ppm is closer to 685 or 791, AI sometimes picks 685, because neural networks blur the line between "string of digits" and "quantity"

Overall pretty high level... A few quotes that are interesting:

- "Every agent should have similar security protections as humans," --> security stock/startups will definitely keep growing

- "The World Health Organization projects a shortage of 11 million health workers by 2030 — a gap that leaves 4.5 billion people without essential health services. King points to achievements demonstrated in 2025 by Microsoft AI’s Diagnostic Orchestrator (MAI-DxO), which solved complex medical cases with 85.5% accuracy, far above the 20% average for experienced physicians." --> Lack of health workforce and coverage will likely be "supported by more AIs"

- "AI will be “measured by the quality of intelligence it produces, not just its sheer size,” he says." --> the huge scaling & size &# of GPU battle is likely to see a slow down with competitions taking place in more efficiency-focused improvements in AI.

- Quantum computing will be the future (like always)

This run started last December, when I was looking to scale my hustle that has been going ass cheeks so far. What I learned from days of binge watching YouTube guides and reading marketing forums? You gotta find clients that NEED you. Not that "may want you service".

Even though I was motivated enough, I wasn't able to send satisfied number of mails a day and mind you I live in a huge city.

That’s when I decided to try and build a tool to scrape B2B leads and their bad reviews from Google Maps. Took me about a week and boom boom... I did itttt. It felt like a Tesla or Einstein moment to me. It can create hyper-personalized cold emails right in my Gmail that directly addressed the issues these businesses were facing. It basically scraped leads with bad reviews. Crafted hyper-hyper-personalized messages and send multiple emails effortlessly

In just a month, I managed to bring in almost 5k from selling the clients mostly multiple chatbot agents or sometimes new websites. ... Thats huge for me since I did it by myself. No course or payed ads. However, I made the mistake of assuming the number of businesses eager to respond. The response rate for me isn't too good so the fact that I can send so many mails daily helps a lot. Some thought it's a scam since I dont have a website or not even a LinkedIn haha (gotta change that)/ and some were probably just too overwhelmed to engage.

I'm not an expert yet. Started as just a student trying to make some money on the side but I'll be diving into this since im on hell of a run. What strategies have worked for you to get higher response rate? im thinking if I made 4,600 so far, if I can level up on this response rate issue it can work out so well for me.

Not looking for a polished product or demo. Just curious how people are using AI in their actual daily workflows. I’ve heard of people building small agents to help with things like content posting, drafting, or managing daily tasks, but I honestly don’t know how they set that up or what it really looks like in practice.

Original News: https://openai.com/index/introducing-apps-in-chatgpt/

1. ChatGPT is evolving into a platform that hosts third-party apps inside conversations.

2. The new Apps SDK lets developers embed logic and interfaces directly in chat, but it’s still in preview.

3. Apps rely on the open MCP standard, which could enable cross-platform integration but adds technical complexity.

4. For startups, this creates a new distribution surface within ChatGPT’s 800M-user base, though visibility and monetization rules are not yet defined.

5. The update signals a shift toward conversational interfaces as an operating layer, but the ecosystem’s stability and long-term control remain uncertain.

Full digest on what this means: https://www.aiforabsolutebeginners.com/blog/chatgpt-just-released-new-apps-sdk-introducing-apps-to-chat-355bb3e2-0fde-4cac-bd4e-6271a070f8d1

OpenAI researchers (with Duke & Harvard) just dropped a fascinating paper: How People Use ChatGPT (Sept 2025). A few surprising takeaways:

• Non-work use is exploding: over 70% of messages are outside of work.

• Writing isn’t mostly ghostwriting—it’s editing, critiquing, and translating user text.

• Coding is tiny here: just 4.2% of messages.

• The gender gap flipped—ChatGPT now slightly skews female.

• Younger users dominate volume, but older users lean more on it for work.

• “Asking” (for info/advice) has grown faster than “Doing” (task output).

• Across all jobs, people use ChatGPT for the same core activities: getting info, solving problems, making decisions.

📑 Full Digest: https://www.aiforabsolutebeginners.com/blog/the-hidden-story-of-chatgpt-what-18-billion-messages-reveal-from-openais-new-paper-on-user-behaviors-82ee082a-2240-47de-9f36-d895d9e4fd9f

OpenAI just announced this morning: https://finance.yahoo.com/news/openai-launches-browser-compete-google-170334684.html
"OpenAI said Tuesday it is introducing its own web browser, Atlas, putting the ChatGPT maker in direct competition with Google as more internet users rely on artificial intelligence to answer their questions."

I guess next will be a new phone? laptop?

Just noticed that two new free courses from Anthropic were released recently. One for teachers and instructional designers, and one for students to understand current frameworks, development and growth of AI and why you should care:

Teaching AI Fluency: https://anthropic.skilljar.com/teaching-ai-fluency

AI Fluency for Students: https://anthropic.skilljar.com/ai-fluency-for-students

For full list of 50+ Free AI courses that we are maintaining: https://www.aiforabsolutebeginners.com/ai-courses

This list has been maintained for a while. But still over the time, I was ask that “hey do you have any recs for AI course to start with?” So here's a blog briefly explaining the current courses: https://www.aiforabsolutebeginners.com/blog/60-free-ai-courses-for-beginners-llm-agents-generative-ai

Hub for 62 courses are located here & a short helper quiz to help you decide: https://www.aiforabsolutebeginners.com/ai-courses

To reduce learning anxiety, courses are grouped by learning intent:

• AI Fundamentals & General Understanding

• AI Agents & Agentic Systems

• LLMs, Models & Reasoning

• Generative AI & Diffusion

• Education, Fluency & Teaching

• AI Coding (Beginner-Friendly)

• Machine Learning & Deep Learning

• Games, 3D, Audio & Vision

• Responsible AI

• AI for Work, Business & Personal Use

I observe that in my personal workflow, for many operators, analysts, and product managers, over 60% of research time is spent just finding, copying, and cleaning data.

A large chunk of that deals with inconsistent formats, duplicates, or even wrong information.

That’s why we built Sheet0.com , a new kind of AI-powered data agent.

Sheet0.com is the world’s first L4 Data Agent, borrowing the “Level 4” concept from self-driving cars. It’s not the analysis that eats your time. It’s getting the data ready in the first place.

We’ve just launched the MVP feel free to try it out!

We’re still in invite-only mode, but we’d love to share a special invitation gift with r/AIForAbsoluteBeginner
Code: WQVWPZ3T

Thank you all and would love to hear from your feedback!

I’m trying to expand beyond the mainstream AI content and find more niche or underrated creators—people who share original insights, research breakdowns, unconventional opinions, or use AI in creative ways (not just AI tools for productivity or big releases on the news, and # of followers doesnt matter).

Thanks.

NPR: https://www.npr.org/2025/09/05/g-s1-87367/anthropic-authors-settlement-pirated-chatbot-training-material

"The company has agreed to pay authors about $3,000 for each of an estimated 500,000 books covered by the settlement."

However, from what I’ve heard from several affected authors, it can be quite difficult for them to obtain it—especially if their publisher does not provide copyright support—and not all authors are even aware of it.

Updated: looking into the news again, and it seems that the judge has postponed (from reject) the final decision about the settlement a week ago. Please stay tuned.

I know a little about AI, using ChatGPT and Claude. But I can't figure out what agents are for? What tasks can they be used for? And how do I create them?

Could someone explain it for me?

I’ve been trying to learn more about AI lately, but most of what I find either assumes you already know a lot or immediately turns into a bunch of technical explanations.

Is there a good site that explains what different AI tools are useful for, keeps up with new stuff, and is aimed more at normal people rather than developers? Mainly looking for something I can browse and gradually learn from without feeling like I need to understand the whole industry first. (don't wanna do courses and stuff just learn stuff gradually on my own).