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I tested Perplexity Computer vs Claude Cowork head to head. Same prompts. Same tasks. 3 rounds. → Competitive research into a client deliverable → Extracting clean data from 10 messy files → Building a polished PDF report from scratch One costs $200/mo. The other costs $20. One of them... show more

Corey Ganim

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52,274 просмотров • 6 месяцев назад •via X (Twitter)

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Don't waste 2 years building AI agents the wrong way. An Anthropic engineer dropped a 1 hour course on the exact way to build AI agents from scratch. • 00:00 - building a Claude AI agent live • 34:01 - taking AI agents to production • 52:20 - AI agent harness Prompting is the old job. Building AI agentic loops is the new one. This one video replaces 10 paid courses on vibe coding. Bookmark & watch it now. Then build your own AI agent with the guide below.

Don't waste 2 years building AI agents the wrong way. An Anthropic engineer dropped a 1 hour course on the exact way to build AI agents from scratch. • 00:00 - building a Claude AI agent live • 34:01 - taking AI agents to production • 52:20 - AI agent harness Prompting is the old job. Building AI agentic loops is the new one. This one video replaces 10 paid courses on vibe coding. Bookmark & watch it now. Then build your own AI agent with the guide below.

Roan

14,167 просмотров • 1 месяц назад

Andrew Ng and AMD CEO leaked the plan on how anyone becomes a $40k AI engineer from scratch: 00:00 - one engineer with AI replaces 5 employees 14:15 - one day with AI replaces 3 months of work 23:28 - how to build a profitable company for $20 This free 26-minute talk is worth more than a $90,000 Stanford AI degree. Watch it today, then read the full breakdown in the article below.

Andrew Ng and AMD CEO leaked the plan on how anyone becomes a $40k AI engineer from scratch: 00:00 - one engineer with AI replaces 5 employees 14:15 - one day with AI replaces 3 months of work 23:28 - how to build a profitable company for $20 This free 26-minute talk is worth more than a $90,000 Stanford AI degree. Watch it today, then read the full breakdown in the article below.

Noisy

22,295 просмотров • 2 месяцев назад

this is hands down the fastest way to make everyone on your team better with AI: build a shared Company Brain. your best prompts, decisions, corrections, and workflows become the default for every person and AI agent. Claude, Cursor, Codex, and every teammate start from the same playbook. one person learns something once. the whole company gets smarter. the full guide to building your own Company Brain is below:

this is hands down the fastest way to make everyone on your team better with AI: build a shared Company Brain. your best prompts, decisions, corrections, and workflows become the default for every person and AI agent. Claude, Cursor, Codex, and every teammate start from the same playbook. one person learns something once. the whole company gets smarter. the full guide to building your own Company Brain is below:

J.B.

350,435 просмотров • 26 дней назад

Grok is a sleeping giant for AI animation Tested the collage hack from - upload one image of your characters + environment + a prompt The results are MIGHTY impressive Also ran the same prompts in Veo 3.1 and the differences are surprising Results + prompts below 👇

Grok is a sleeping giant for AI animation Tested the collage hack from - upload one image of your characters + environment + a prompt The results are MIGHTY impressive Also ran the same prompts in Veo 3.1 and the differences are surprising Results + prompts below 👇

Billy Woodward

36,239 просмотров • 11 месяцев назад

We're excited to introduce Box + Perplexity Computer – where your AI assistant becomes a true operator, working directly within your content hub. Empower your agents with: → A Real Filesystem for AI: Seamlessly connect Perplexity with your Box files → Intelligent Insights: Point Perplexity across multiple files to surface insights, patterns, and answers that drive strategic decisions. → Automated Multi-Step Workflows: Perplexity Computer handles complex tasks efficiently in the background. → Secure & Governed Operations: Leverage Box's security and permissions, ensuring your AI operates with the right access and governance. Watch how Box + Perplexity Computer transforms raw data into actionable intelligence, like building a comprehensive competitive brief from multiple documents.

We're excited to introduce Box + Perplexity Computer – where your AI assistant becomes a true operator, working directly within your content hub. Empower your agents with: → A Real Filesystem for AI: Seamlessly connect Perplexity with your Box files → Intelligent Insights: Point Perplexity across multiple files to surface insights, patterns, and answers that drive strategic decisions. → Automated Multi-Step Workflows: Perplexity Computer handles complex tasks efficiently in the background. → Secure & Governed Operations: Leverage Box's security and permissions, ensuring your AI operates with the right access and governance. Watch how Box + Perplexity Computer transforms raw data into actionable intelligence, like building a comprehensive competitive brief from multiple documents.

Box

246,743 просмотров • 6 месяцев назад

🚨 The ultimate AI video showdown is here: Seedance 2.5 vs Flux 3! 👑 I put both models head-to-head to test skin textures, motion consistency, and native audio. One struggled with heavy AI smoothing, while the other delivered incredible organic details directly out of the engine. 🤯 See which one takes the #1 spot. Full video review in the comments.

🚨 The ultimate AI video showdown is here: Seedance 2.5 vs Flux 3! 👑 I put both models head-to-head to test skin textures, motion consistency, and native audio. One struggled with heavy AI smoothing, while the other delivered incredible organic details directly out of the engine. 🤯 See which one takes the #1 spot. Full video review in the comments.

JSFILMZ

41,584 просмотров • 1 месяц назад

A 90-second SaaS explainer can cost $12 to make and sell for $800 That is the part most people miss about AI video The money is not in posting random generated clips and hoping the algorithm likes them The money is in turning the same pipeline into a deliverable businesses already pay for A founder sends a product brief Claude turns it into a script and scene plan Midjourney creates the frames Runway adds motion ElevenLabs records the narration Suno makes the background music Make sends the finished video to the client folder Now the output is not "content" It is a product video a SaaS company can use on a homepage, pitch deck, ad or launch page The stack costs $124/month One video costs around $12 to produce The selling price can be $350-$800 That is why AI video gets interesting when you stop thinking like a creator and start thinking like a service business The tools are cheap The finished outcome is not

A 90-second SaaS explainer can cost $12 to make and sell for $800 That is the part most people miss about AI video The money is not in posting random generated clips and hoping the algorithm likes them The money is in turning the same pipeline into a deliverable businesses already pay for A founder sends a product brief Claude turns it into a script and scene plan Midjourney creates the frames Runway adds motion ElevenLabs records the narration Suno makes the background music Make sends the finished video to the client folder Now the output is not "content" It is a product video a SaaS company can use on a homepage, pitch deck, ad or launch page The stack costs $124/month One video costs around $12 to produce The selling price can be $350-$800 That is why AI video gets interesting when you stop thinking like a creator and start thinking like a service business The tools are cheap The finished outcome is not

Asteri

11,627 просмотров • 2 месяцев назад

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"I might be losing my next election over this. You have to get in a head space where you're ok with that, and too many of my colleagues are not ok with losing their next election if that is what it costs." In this clip from the My Price is My Life podcast, Rep. Thomas Massie and I talk about the Epstein files, the survivors, Donald Trump, and the politics surrounding it all. Watch the full episode at

James O'Keefe

594,904 просмотров • 1 год назад

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Here is a step-by-step introduction to building a workflow with a custom AI agent that uses MCP. I explain every component in the video: 1. Building the MCP server 2. Building the agent and an MCP client 3. Building a workflow that uses the agent The goal is simple: Generate a dialogue between two people and make one yell and the other answer with sarcasm. Kestra is sponsoring this video. They are an open-source orchestration platform (repo link below), and I used them to build the workflow that connects every component.

Santiago

51,527 просмотров • 1 год назад

🚨 BREAKING: 7-figure SaaS founder (Craig Hewitt) open-sourced his entire Claude Code marketing system. It's called SEO Machine (seomachine. io): → Research a keyword → Analyze competitors → Write a full article → All with one command Free to download. Just add your context files. Full breakdown of how he uses Claude Code for SEO, marketing, and content on the Build With AI podcast (full video below). Podcast also available on YouTube/your fav podcast platform.

🚨 BREAKING: 7-figure SaaS founder (Craig Hewitt) open-sourced his entire Claude Code marketing system. It's called SEO Machine (seomachine. io): → Research a keyword → Analyze competitors → Write a full article → All with one command Free to download. Just add your context files. Full breakdown of how he uses Claude Code for SEO, marketing, and content on the Build With AI podcast (full video below). Podcast also available on YouTube/your fav podcast platform.

Corey Ganim

54,510 просмотров • 6 месяцев назад

One line from Prasanna Sankar has stayed with me: "You're not helping AI anymore. You're getting in the way by being in the way." That's exactly why he's building Vorflux Not another AI coding assistant. His vision is an autonomous AI software engineer that can build software with minimal human involvement. Coming from someone who was India's #1 competitive programmer, helped build Rippling into a $15B company, and once turned down Facebook's $100M acquisition offer, it's a perspective worth paying attention to. In this conversation, we go deep on: • Why AI has already surpassed humans at software engineering. • Why tools like Cursor and Claude Code are only the beginning—and how Vorflux is thinking differently. • Why the engineer of the future becomes a "builder." • The story behind building Rippling and starting over from scratch. • Why he turned down Facebook's $100M acquisition offer. • Why he believes we're moving toward zero-employee companies. • What humans will be uniquely valuable for in an AI-first world. One of the most thought-provoking conversations I've had on AI and the future of software. Full conversation is now live on the 1947 Rise Podcast. Link in comments Prasanna S Vorflux

One line from Prasanna Sankar has stayed with me: "You're not helping AI anymore. You're getting in the way by being in the way." That's exactly why he's building Vorflux Not another AI coding assistant. His vision is an autonomous AI software engineer that can build software with minimal human involvement. Coming from someone who was India's #1 competitive programmer, helped build Rippling into a $15B company, and once turned down Facebook's $100M acquisition offer, it's a perspective worth paying attention to. In this conversation, we go deep on: • Why AI has already surpassed humans at software engineering. • Why tools like Cursor and Claude Code are only the beginning—and how Vorflux is thinking differently. • Why the engineer of the future becomes a "builder." • The story behind building Rippling and starting over from scratch. • Why he turned down Facebook's $100M acquisition offer. • Why he believes we're moving toward zero-employee companies. • What humans will be uniquely valuable for in an AI-first world. One of the most thought-provoking conversations I've had on AI and the future of software. Full conversation is now live on the 1947 Rise Podcast. Link in comments Prasanna S Vorflux

Shiva Singh Sangwan

72,199 просмотров • 1 месяц назад

Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals. We’re proud to help today’s students and enthusiasts build real skills on real tools in today's competitive AI and ML job market.

Databricks launches Free Edition! Explore and learn the latest data and AI technologies for free. Users can experiment with the full range of use cases – from building AI agents and applications to analyzing data with SQL – on the same platform used by millions of professionals. We’re proud to help today’s students and enthusiasts build real skills on real tools in today's competitive AI and ML job market.

Databricks

25,085 просмотров • 1 год назад

Z.ai GLM 5.2 is now live on Eigent from day 0! threw a real long-horizon task: research 30 companies across 6 sectors of the AI infrastructure stack, structure it into JSON, then build an interactive HTML report. same prompt, 5.1 vs 5.2. where 5.2 pulls ahead: → plans deeper and verifies harder. → researches wider. Covers 2x the ground. → ships a more complete, interactive report. with a 1M context window, it holds the whole task from research to final deliverable. no dropped threads, no half-finished output. long tasks are where the difference shows. try it on open source coworker Eigent. 🦾

Z.ai GLM 5.2 is now live on Eigent from day 0! threw a real long-horizon task: research 30 companies across 6 sectors of the AI infrastructure stack, structure it into JSON, then build an interactive HTML report. same prompt, 5.1 vs 5.2. where 5.2 pulls ahead: → plans deeper and verifies harder. → researches wider. Covers 2x the ground. → ships a more complete, interactive report. with a 1M context window, it holds the whole task from research to final deliverable. no dropped threads, no half-finished output. long tasks are where the difference shows. try it on open source coworker Eigent. 🦾

Eigent AI

23,897 просмотров • 3 месяцев назад

Upon request, I had Claude do the same thing with the full text of Jabberwocky. Same rule: I had to use its prompts verbatim and could only pick one of the four videos generated by veo 2 on the first try. I added okay-ish narration from AI, too Flawed, but an interesting start

Upon request, I had Claude do the same thing with the full text of Jabberwocky. Same rule: I had to use its prompts verbatim and could only pick one of the four videos generated by veo 2 on the first try. I added okay-ish narration from AI, too Flawed, but an interesting start

Ethan Mollick

34,088 просмотров • 1 год назад

ANTHROPIC LEAKED A FILE THAT TURNS AN EMPTY FOLDER INTO A PRODUCT WITH A PRICE IN 60 MINUTES AND AIMS AT $100,000 A MONTH in one hour you get a product with a price on it - a startup burns a quarter and $80,000 for that same hour problem → shape → surface → price → machine → back to the problem you write only the first 12 minutes: who hurts, and what it costs them right now Opus 5 gives it a shape and then a price, three Sonnet 5 build three versions of the page Haiku 4.5 stands up the machine: delivery, the queue and the weekly numbers $100,000 a month is 1,000 customers at $100, or 10 at $10,000 same number, four completely different businesses which of those four rows you're standing on gets decided in minutes 36-48, not a year from now at minute sixty you have a product, a price and a machine - and 0 customers the hour compresses the first clock to nothing, it never touches the second one the hour makes the product, it does not make the demand save this and paste it into Claude Code - let it build you these 5 blocks ↓

ANTHROPIC LEAKED A FILE THAT TURNS AN EMPTY FOLDER INTO A PRODUCT WITH A PRICE IN 60 MINUTES AND AIMS AT $100,000 A MONTH in one hour you get a product with a price on it - a startup burns a quarter and $80,000 for that same hour problem → shape → surface → price → machine → back to the problem you write only the first 12 minutes: who hurts, and what it costs them right now Opus 5 gives it a shape and then a price, three Sonnet 5 build three versions of the page Haiku 4.5 stands up the machine: delivery, the queue and the weekly numbers $100,000 a month is 1,000 customers at $100, or 10 at $10,000 same number, four completely different businesses which of those four rows you're standing on gets decided in minutes 36-48, not a year from now at minute sixty you have a product, a price and a machine - and 0 customers the hour compresses the first clock to nothing, it never touches the second one the hour makes the product, it does not make the demand save this and paste it into Claude Code - let it build you these 5 blocks ↓

Noisy

14,460 просмотров • 12 дней назад

This 1-hour tutorial on building a Football AI is the foundation traders use to build their own sports prediction systems one of them made $504K in 1 month using this exact approach Python + YOLO + OpenCV Detection, tracking, team classification from scratch Same stack powers the prediction systems in the article below Bookmark this & give it 1 hour today

This 1-hour tutorial on building a Football AI is the foundation traders use to build their own sports prediction systems one of them made $504K in 1 month using this exact approach Python + YOLO + OpenCV Detection, tracking, team classification from scratch Same stack powers the prediction systems in the article below Bookmark this & give it 1 hour today

Paone

200,600 просмотров • 5 месяцев назад

THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.

THIS GUY SPENT 5 MINUTES SETTING UP A $20 CLAUDE WORKSPACE AND TURNED 30 MINUTES OF DAILY PROMPT CHAOS INTO A SYSTEM Most people open Claude, type 1 messy prompt, rewrite it 10 times, get the same generic answer and call the model “bad.” He opens Claude Cowork, adds the project rules, past context, working files, examples, decisions and a clean place for the model to remember what it is doing. Same Claude. Same $20 tool. Completely different output. The funny part is there is no magic prompt here. No secret template. No “10x Claude” trick. Just the boring layer Karpathy keeps pointing at: context, memory and structure before output. A setup like this can save 30 minutes a day, which is 15 hours a month. If you use Claude for client work at $50 to $100/hour, that is $750 to $1,500/month in time you stop burning on repeated prompts. The model is real. The output is real. The edge is in not making Claude start from zero every single time.

Gipp 🦅

14,871 просмотров • 3 месяцев назад

MY AI AGENT JUST FOUND A $500K/MO APP MARKET NOBODY IS BUILDING FOR. I gave Perplexity Computer ONE prompt: find me an app worth building. it didn't just Google "best app ideas 2026." here's what it actually did in one session: → researched 5 creators on X doing $10-100K/mo from simple apps. verified their revenue. found one was inflating numbers (did this one for fun lol) → pulled Sensor Tower data on 9 app categories. real downloads. real revenue. not blog estimates. → cross-checked TikTok for which app formats were actually going viral right now. view counts. content hooks. distribution proof. → scored every idea on 4 dimensions: virality, build difficulty, revenue ceiling, and competition gap. → I rejected the top 3. it went deeper. found an entire category doing $500K/mo where every app had the same blind spot. This one session replaced a full week of manual digging. Running this twice a month now for my AI app studio. Drop a comment if you want the full prompt. Sharing the app idea next week.

MY AI AGENT JUST FOUND A $500K/MO APP MARKET NOBODY IS BUILDING FOR. I gave Perplexity Computer ONE prompt: find me an app worth building. it didn't just Google "best app ideas 2026." here's what it actually did in one session: → researched 5 creators on X doing $10-100K/mo from simple apps. verified their revenue. found one was inflating numbers (did this one for fun lol) → pulled Sensor Tower data on 9 app categories. real downloads. real revenue. not blog estimates. → cross-checked TikTok for which app formats were actually going viral right now. view counts. content hooks. distribution proof. → scored every idea on 4 dimensions: virality, build difficulty, revenue ceiling, and competition gap. → I rejected the top 3. it went deeper. found an entire category doing $500K/mo where every app had the same blind spot. This one session replaced a full week of manual digging. Running this twice a month now for my AI app studio. Drop a comment if you want the full prompt. Sharing the app idea next week.

Prajwal Tomar

47,874 просмотров • 5 месяцев назад

you can name what your rent costs, your coffee, your gym you have never once been able to name what one task costs not the month, the task, the thing you asked for at eleven this morning every other bill in your life arrives itemized, this one arrives as one number you glance at and pay so there is no expensive job in your head, only an expensive month you are the only buyer in your own business who cannot quote a unit price the same feature ran twice, sixty five cents one way and twenty three the other you did not choose the sixty five you just never priced the other one

you can name what your rent costs, your coffee, your gym you have never once been able to name what one task costs not the month, the task, the thing you asked for at eleven this morning every other bill in your life arrives itemized, this one arrives as one number you glance at and pay so there is no expensive job in your head, only an expensive month you are the only buyer in your own business who cannot quote a unit price the same feature ran twice, sixty five cents one way and twenty three the other you did not choose the sixty five you just never priced the other one

Lagosaur

17,364 просмотров • 1 месяц назад

I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!

I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!

Corey Ganim

68,713 просмотров • 6 дней назад