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Asked Perplexity Computer to build me a complete learning system on AI trends. Resources. Explanations. Roadmap. Quiz. Thread. Cheat sheet. Actions. All in one prompt. 5 minutes later: → 5 credible sources curated → Concepts broken down → Learning path structured (beginner to expert) → Quiz ready to test... show more

Mujeeb Ahmed

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49,277 просмотров • 5 месяцев назад •via X (Twitter)

Образование Наука и технологии

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i vibe coded a bot that makes me $10k/month i don't know how to code built it in one evening with claude what it does: scans all active polymarket markets picks the ones with highest alpha potential sends them to perplexity for deep research confirms or rejects the thesis automatically i wake up to a list of researched plays ready to execute > no scrolling twitter > no manual research > no staring at screens run the bot, go live your life, check results later $20 claude + $20 perplexity = $40/month cost $10k/month return in the form of passive income you don't need to know how to code anymore you just need to know what to build

i vibe coded a bot that makes me $10k/month i don't know how to code built it in one evening with claude what it does: scans all active polymarket markets picks the ones with highest alpha potential sends them to perplexity for deep research confirms or rejects the thesis automatically i wake up to a list of researched plays ready to execute > no scrolling twitter > no manual research > no staring at screens run the bot, go live your life, check results later $20 claude + $20 perplexity = $40/month cost $10k/month return in the form of passive income you don't need to know how to code anymore you just need to know what to build

Argona

250,961 просмотров • 7 месяцев назад

This Pokémon/Palworld style game was made using only one prompt on our platform. What you see is 100% made with AI and in just one prompt. All the UI, menu, gameplay, graphic's and assets is handled by Tesana. You don't need to learn complex game dev setups on Claude Opus 5, Fable or Kimi K3. You can make entire games, that's ready to play with just a simple prompt on our platform.

This Pokémon/Palworld style game was made using only one prompt on our platform. What you see is 100% made with AI and in just one prompt. All the UI, menu, gameplay, graphic's and assets is handled by Tesana. You don't need to learn complex game dev setups on Claude Opus 5, Fable or Kimi K3. You can make entire games, that's ready to play with just a simple prompt on our platform.

Tesana - Make games with AI

13,145 просмотров • 1 месяц назад

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

It takes 5 minutes to create a world-class web research agent that runs 24/7 and returns structured search results. 1. You can limit the sources it's allowed to use 2. You can specify the goals it needs to complete 3. You can design the format structure of the results 4. You can configure how much computing power it will use I show you how to set up a Web Search Agent in the video. A few benefits here: 1. This is great for complex research tasks 2. It's really easy to add this like a LEGO piece to a more complex workflow 3. Create an agent once, and reuse it with different inputs 4. The agent adapts to your use case as you work with it By the way, Nimble published a whole library of templates and research agents you can reuse and modify. You can start sending queries to one of these existing agents, and it will begin to adapt to Go here to try it out: Thanks to the Nimble team for partnering with me on this post.

Santiago

21,079 просмотров • 1 месяц назад

Claude Code creator, Boris Cherny: "I'm not prompting my agents anymore. I'm building Loops and Graphs that do it for me." In 10 minutes he explains how they do agentic engineering at Anthropic, and why they stopped prompting a long time ago. The missing piece most people skip: you don't prompt agents to work. You build Loops and Graphs that prompt them for you. Watch it, then read the full guide on Loops and Graphs below

Claude Code creator, Boris Cherny: "I'm not prompting my agents anymore. I'm building Loops and Graphs that do it for me." In 10 minutes he explains how they do agentic engineering at Anthropic, and why they stopped prompting a long time ago. The missing piece most people skip: you don't prompt agents to work. You build Loops and Graphs that prompt them for you. Watch it, then read the full guide on Loops and Graphs below

Mahax

28,776 просмотров • 1 месяц назад

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

We spent months building this so you don't have to figure it out alone. A free 7-day course that takes you from zero to building real things with AI, no coding background, no expensive tools, no fluff, just results. From 0 -> to Claude code expert, completely free: > In 7 days, you’ll learn vibe coding, set up Claude Code, build your first AI app, create a prompt-built website, automate a task with n8n, and deploy it live to a real URL. No theory, no filler, just a real project you can show people by the end of the week. For those who want to go further, we spent even longer building another one, designed for people who are genuinely interested in AI deep learning and launching products. From Expert to Your First $10k Product {You can find it on the link above as well} The complete masterclass, full-stack AI apps, Supabase, n8n automations, AI agents, Telegram bots, SaaS products built from scratch, Stripe, subscriptions, client work, freelancing, pricing and scaling. This is the course that turns the skill into actual income. Me and Noisy put everything we know into both of these, you can start free, build something real, then decide how far you want to take it.

Defileo🔮

695,073 просмотров • 5 месяцев назад

You can build your own custom Jarvis, using Cursor, Claude Code or Codex, in less than 20 minutes. Using the new GPT-Realtime-2 API... Anything you can do on a computer can be turned into a tool that your Jarvis can use. (Here's exactly how to do it) Introduction Step 1: Cursor Setup Step 2 – Full Jarvis Prompt Step 3 – My Agent Ricky Step 4 – Second Prompt Step 5 – Add EXA API Key for Web Search Step 6 – Third Prompt Step 7 – Add Computer Use Mode Step 8 – Add AI Image Generator (Insane) Final Demo

You can build your own custom Jarvis, using Cursor, Claude Code or Codex, in less than 20 minutes. Using the new GPT-Realtime-2 API... Anything you can do on a computer can be turned into a tool that your Jarvis can use. (Here's exactly how to do it) Introduction Step 1: Cursor Setup Step 2 – Full Jarvis Prompt Step 3 – My Agent Ricky Step 4 – Second Prompt Step 5 – Add EXA API Key for Web Search Step 6 – Third Prompt Step 7 – Add Computer Use Mode Step 8 – Add AI Image Generator (Insane) Final Demo

Riley Brown

62,062 просмотров • 2 месяцев назад

I generated a full earnings teardown with Perplexity Computer from a single prompt. Prompt: Break down Nvidia’s latest earnings. Put actuals next to consensus (revenue, EPS). Highlight segment performance and margin moves. Summarize the headline takeaways, what management emphasized, AI/data center demand signals, key risks, and the outlook. Close with the bull case vs. the bear case. One thread. One complete write-up. Numbers, context, and narrative—stitched together in minutes. Immediate value, instantly usable: → Investor-grade recap with plug-and-play talking points → Content angles matched to what the market is reacting to → Source trails across major coverage and analyst notes → High-intent keywords + the exact questions people are searching right now

I generated a full earnings teardown with Perplexity Computer from a single prompt. Prompt: Break down Nvidia’s latest earnings. Put actuals next to consensus (revenue, EPS). Highlight segment performance and margin moves. Summarize the headline takeaways, what management emphasized, AI/data center demand signals, key risks, and the outlook. Close with the bull case vs. the bear case. One thread. One complete write-up. Numbers, context, and narrative—stitched together in minutes. Immediate value, instantly usable: → Investor-grade recap with plug-and-play talking points → Content angles matched to what the market is reacting to → Source trails across major coverage and analyst notes → High-intent keywords + the exact questions people are searching right now

Fathela Esq

73,774 просмотров • 5 месяцев назад

Epic duo! computer use drives cursor autonomously and builds and entire Tower defense game while maintaining project understanding 🥳 system message in comment You just instruct computer use and it continually instructs Cursor agent to build the project. You can download the script from my patron. link in comment How it works: - Computer is limited to certain coordinates and certain actions this way it should only work with cursor and do nothing else - cursorrules file instructs cursor to not run any commands to run files, since those require user permission and computer use may make mistakes there - you select the coordinates of the top and bottom position of the text input boxes in composer side panel. there is a script that helps you with that. we enter these into comuter_use script - then run the script with your prompt let me know what you think 🙂 ------- If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interested

Epic duo! computer use drives cursor autonomously and builds and entire Tower defense game while maintaining project understanding 🥳 system message in comment You just instruct computer use and it continually instructs Cursor agent to build the project. You can download the script from my patron. link in comment How it works: - Computer is limited to certain coordinates and certain actions this way it should only work with cursor and do nothing else - cursorrules file instructs cursor to not run any commands to run files, since those require user permission and computer use may make mistakes there - you select the coordinates of the top and bottom position of the text input boxes in composer side panel. there is a script that helps you with that. we enter these into comuter_use script - then run the script with your prompt let me know what you think 🙂 ------- If you are interested in learning how to use Cursor more in depth, I have a 28 chapter 1000x Cursor Course building full apps from scratch with 19 hours of content. link is in my bio if you are interested

echo.hive

128,071 просмотров • 1 год назад

HOW TO BUILD A CONTENT MACHINE THAT ACTUALLY BRINGS IN INCOME (STEP-BY-STEP GUIDE) When you're just starting out, you don't know what to do, and the best option is to simply take and copy the format of others, but tweak it a little to fit yourself How to actually make content like those who earn money from it: • 1 - Channel selection and analytics • 2 - Training Claude on the channel's style • 3 - Building a content system • 4 - Script generation and production • 5 - Metadata, publication and iteration Save this so you don't lose it

HOW TO BUILD A CONTENT MACHINE THAT ACTUALLY BRINGS IN INCOME (STEP-BY-STEP GUIDE) When you're just starting out, you don't know what to do, and the best option is to simply take and copy the format of others, but tweak it a little to fit yourself How to actually make content like those who earn money from it: • 1 - Channel selection and analytics • 2 - Training Claude on the channel's style • 3 - Building a content system • 4 - Script generation and production • 5 - Metadata, publication and iteration Save this so you don't lose it

TolyaDV

32,002 просмотров • 3 месяцев назад

This is insane😭 Software is permanently cooked.. → $100K/mo app cloned in 1 prompt😭 →A 15 second ad made in 2 minutes it took me about 10 minutes to clone the app and its best performing ads. Claude fable 5 + Higgsfield MCP is unfairly overpowered and while there are millions of people Building software now and anything can be cloned with ease. it does not mean you shouldn't be building One of our apps is making $150,000/mo with insane profit margins. and even though 100s have tried they can't copy our success. because of the systems these tools allow you to build. your moat is: →your systems →your harness →your agency as a founder →your strategy →and the way you use AI don't let the doomers discourage you keep building, im doubling down on apps and AI UGC

This is insane😭 Software is permanently cooked.. → $100K/mo app cloned in 1 prompt😭 →A 15 second ad made in 2 minutes it took me about 10 minutes to clone the app and its best performing ads. Claude fable 5 + Higgsfield MCP is unfairly overpowered and while there are millions of people Building software now and anything can be cloned with ease. it does not mean you shouldn't be building One of our apps is making $150,000/mo with insane profit margins. and even though 100s have tried they can't copy our success. because of the systems these tools allow you to build. your moat is: →your systems →your harness →your agency as a founder →your strategy →and the way you use AI don't let the doomers discourage you keep building, im doubling down on apps and AI UGC

Ernesto Lopez

145,347 просмотров • 2 месяцев назад

In the 1980s, Bill Gates began an annual tradition called the Think Week. He would seclude himself and spend an entire week dedicated to reading, learning, and thinking. The Think *Day* is my adaptation: Pick one day each month (or quarter) to step back from all of your day-to-day professional demands. The goal is to spend the entire day reading, learning, journaling, and THINKING. Six thinking question prompts I have found useful (that you should steal!): 1. What are your strongest beliefs? What would it take for you to change your mind on them? 2. What are a few things that you know now that you wish you knew 5 years ago? 3. How can you do less, but better? 4. Are you hunting antelope (big important problems) or field mice (small urgent problems)? 5. What actions were you engaged in 5 years ago that you cringe at today? What actions are you engaged in today that you will cringe at in 5 years? 6. What would your 80-year-old self say about your decisions today? The Think Day changed my life. Give it a shot and let me know what you think.

In the 1980s, Bill Gates began an annual tradition called the Think Week. He would seclude himself and spend an entire week dedicated to reading, learning, and thinking. The Think Day is my adaptation: Pick one day each month (or quarter) to step back from all of your day-to-day professional demands. The goal is to spend the entire day reading, learning, journaling, and THINKING. Six thinking question prompts I have found useful (that you should steal!): 1. What are your strongest beliefs? What would it take for you to change your mind on them? 2. What are a few things that you know now that you wish you knew 5 years ago? 3. How can you do less, but better? 4. Are you hunting antelope (big important problems) or field mice (small urgent problems)? 5. What actions were you engaged in 5 years ago that you cringe at today? What actions are you engaged in today that you will cringe at in 5 years? 6. What would your 80-year-old self say about your decisions today? The Think Day changed my life. Give it a shot and let me know what you think.

Sahil Bloom

669,437 просмотров • 3 лет назад

Literally stole $12M worth of app ideas in minutes by just sending a few prompts from my phone I doubted it too, i don't blame you but AI is undeniable I did not want to admit that “ I wasted years learning code” all for a clanker to do it in 45 minutes So i’m done coping, and you should too I built 5 apps at the same time with just a few prompts it’s a blessing really, you can now fail faster. Master distribution and suddenly you're app is making $20k/mo

Literally stole $12M worth of app ideas in minutes by just sending a few prompts from my phone I doubted it too, i don't blame you but AI is undeniable I did not want to admit that “ I wasted years learning code” all for a clanker to do it in 45 minutes So i’m done coping, and you should too I built 5 apps at the same time with just a few prompts it’s a blessing really, you can now fail faster. Master distribution and suddenly you're app is making $20k/mo

Jah Jiren

27,965 просмотров • 9 месяцев назад

HARVARD HAS A FULL 53-MIN GIT LECTURE FROM DAVID MALAN BECAUSE 90% OF NEW DEVELOPERS STILL DON'T KNOW WHAT A COMMIT ACTUALLY IS 53 minutes of no-nonsense version control from the instructor whose course became the largest class in Harvard history. -> The moment you watch it, you realize why "I'll just push to main" is the fastest way to get fired in your first month. Every junior engineer in 2026 is expected to handle Git on day one - no excuses, no Stack Overflow, no AI hand-holding. Git isn't a "senior dev thing" anymore -> it's the literacy test for being in the room. The agent can ship the feature in 5 minutes. Recovering the repo it broke takes 5 hours - and only if you actually understand what happened. Don't forget to bookmark it.

HARVARD HAS A FULL 53-MIN GIT LECTURE FROM DAVID MALAN BECAUSE 90% OF NEW DEVELOPERS STILL DON'T KNOW WHAT A COMMIT ACTUALLY IS 53 minutes of no-nonsense version control from the instructor whose course became the largest class in Harvard history. -> The moment you watch it, you realize why "I'll just push to main" is the fastest way to get fired in your first month. Every junior engineer in 2026 is expected to handle Git on day one - no excuses, no Stack Overflow, no AI hand-holding. Git isn't a "senior dev thing" anymore -> it's the literacy test for being in the room. The agent can ship the feature in 5 minutes. Recovering the repo it broke takes 5 hours - and only if you actually understand what happened. Don't forget to bookmark it.

slash1s

253,313 просмотров • 4 месяцев назад

I can’t emphasize enough just how powerful this ChatGPT SuperPrompt is. This is just a very small part of far more powerful SuperPrompts that will be part of Please examine the specimen video below. The SuperPrompt: “Please forget all prior prompts. I want you to become my Prompt Creator. Your goal is to help me build the best detailed prompt for my needs. This prompt will be used by you, ChatGPT. Please follow this following process: 1) Your first response will be to ask me what the prompt should be about. I will provide my answer, but we will need to improve it through continual iterations by going through the next steps. 2) Based on my input, you will generate 3 sections. a) Revised prompt [provide your rewritten prompt. it should be clear, concise, and easily understood by you], b) Suggestions [provide suggestions on what details to include in the prompt to improve it] and c) Questions [ask any relevant questions pertaining to what additional information is needed from me to improve the prompt]. 3. We will continue this iterative process with me providing additional information to you and you updating the prompt in the Revised prompt section until it's complete. I want you to rate every prompt I give you or you produce. Give a rating 1 to 10. Add comments on what you think could have been improved about it. Do this for every prompt. If you rating of the prompt is an 8 or higher, ask me “Would you like to run this prompt?” With a menu choice of “Yes” or “No”. If I say “Yes” run the last prompt you suggested. If I say no generate me a better prompt. It is vital to make sure you run a prompt when I say “Yes”. Please continue this prompt until I say stop or you run the prompt. Thank you.”

I can’t emphasize enough just how powerful this ChatGPT SuperPrompt is. This is just a very small part of far more powerful SuperPrompts that will be part of Please examine the specimen video below. The SuperPrompt: “Please forget all prior prompts. I want you to become my Prompt Creator. Your goal is to help me build the best detailed prompt for my needs. This prompt will be used by you, ChatGPT. Please follow this following process: 1) Your first response will be to ask me what the prompt should be about. I will provide my answer, but we will need to improve it through continual iterations by going through the next steps. 2) Based on my input, you will generate 3 sections. a) Revised prompt [provide your rewritten prompt. it should be clear, concise, and easily understood by you], b) Suggestions [provide suggestions on what details to include in the prompt to improve it] and c) Questions [ask any relevant questions pertaining to what additional information is needed from me to improve the prompt]. 3. We will continue this iterative process with me providing additional information to you and you updating the prompt in the Revised prompt section until it's complete. I want you to rate every prompt I give you or you produce. Give a rating 1 to 10. Add comments on what you think could have been improved about it. Do this for every prompt. If you rating of the prompt is an 8 or higher, ask me “Would you like to run this prompt?” With a menu choice of “Yes” or “No”. If I say “Yes” run the last prompt you suggested. If I say no generate me a better prompt. It is vital to make sure you run a prompt when I say “Yes”. Please continue this prompt until I say stop or you run the prompt. Thank you.”

Brian Roemmele

594,544 просмотров • 3 лет назад

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Jensen Huang on "distillation" On his new interview with axios, he was asked this question "Should open source model companies be allowed to distill closed models" "Distillation—learning from AI, learning from other people, and learning from other sources of knowledge, is fundamental to intelligence. We are constantly learning from other people. I am learning from you through the questions you are asking, and you are learning from me. All day long, we are learning from one another. AI also has to learn from something. The original AI models, whether they were open or closed, were trained on previously created knowledge from the internet. Now, AI is generating more content than humans. In a few more years, the internet could be 99% AI-generated content, and that content will have been created by some form of AI. As a result, AI systems will constantly be distilling knowledge and intelligence from other AI systems. The fact that AI can learn is a good thing. We want AI systems to be intelligent because a smarter AI can also be a safer AI." ---- From "Axios" YouTube channel, (full video link in comment)

Rohan Paul

443,912 просмотров • 2 месяцев назад

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Our first short course with Anthropic! Building Towards Computer Use with Anthropic. This teaches you to build an LLM-based agent that uses a computer interface by generating mouse clicks and keystrokes. Computer Use is an important, emerging capability for LLMs that will let AI agents do many more tasks than were possible before, since it lets them interact with interfaces designed for humans to use, rather than only tools that provide explicit API access. I hope you will enjoy learning about it! This course is taught by Anthropic's Head of Curriculum, Colt_Steele. You'll learn to apply image reasoning and tool use to "use" a computer as follows: a model processes an image of the screen, analyzes it to understand what's going on, and navigates the computer via mouse clicks and keystrokes. This course goes through the key building blocks, and culminates in a demo of an AI assistant that uses a web browser to search for a research paper, downloads the PDF, and finally summarizes the paper for you. In detail, you’ll: - Learn about Anthropic's family of models, when to use which one, and make API requests to Claude - Use multi-modal prompts that combine text and image content blocks, and also work with streaming responses - Improve your prompting by using prompt templates, using XML to structure prompts, and providing examples - Implement prompt caching to reduce cost and latency - Apply tool-use to build a chatbot that can call different tools to respond to queries - See all these building blocks come together in Computer Use demo Please sign up here:

Andrew Ng

170,541 просмотров • 1 год назад

You can set up moltbot (now openclaw) on Emergent in under 2 minutes. You don't need to buy a Mac mini, use a terminal, or worry about configuration files. Here's what you can do: 1. Go to Emergent's homepage 2. Click on the MoltBot option 3. A prompt will automatically show up 4. Click next That's it. You can then connect your WhatsApp or Telegram account to start using the bot immediately. This turns 2 hours of installation and configuration into 2 minutes. But even more important: This will help you keep things secure and away from your computer. MoltBot is fun and powerful, but I do not recommend giving it access to anything critical.

You can set up moltbot (now openclaw) on Emergent in under 2 minutes. You don't need to buy a Mac mini, use a terminal, or worry about configuration files. Here's what you can do: 1. Go to Emergent's homepage 2. Click on the MoltBot option 3. A prompt will automatically show up 4. Click next That's it. You can then connect your WhatsApp or Telegram account to start using the bot immediately. This turns 2 hours of installation and configuration into 2 minutes. But even more important: This will help you keep things secure and away from your computer. MoltBot is fun and powerful, but I do not recommend giving it access to anything critical.

Santiago

81,673 просмотров • 7 месяцев назад