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Ship features while you sleep with 'Ralph Wiggum' - Step 1: Write a detailed PRD (spend an HOUR on this) - Step 2: Convert it to small, atomic user stories - Step 3: Add clear acceptance criteria for each - Step 4: Loop your AI agent through each story... show more

The Startup Ideas Podcast (SIP) 🧃

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75,582 views • 7 months ago •via X (Twitter)

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Here's how to actually start your solopreneur journey in 2026: Step 1: Pick a skill (design, copywriting, dev) Step 2: Freelance to learn what people pay for Step 3: Productize it ($5K for 5 app screens) Step 4: Spot the ONE feature clients keep asking for Step 5: Build a microSaaS around it Step 6: Use AI agents to fulfill delivery THE KEY: Each step compounds I'm rooting for you. Go ship something in 2026

Here's how to actually start your solopreneur journey in 2026: Step 1: Pick a skill (design, copywriting, dev) Step 2: Freelance to learn what people pay for Step 3: Productize it ($5K for 5 app screens) Step 4: Spot the ONE feature clients keep asking for Step 5: Build a microSaaS around it Step 6: Use AI agents to fulfill delivery THE KEY: Each step compounds I'm rooting for you. Go ship something in 2026

The Startup Ideas Podcast (SIP) 🧃

37,448 views • 7 months ago

Here's how to do months of SEO work in one afternoon with Claude Code: Step 1: Feed AI your site, ask for 25-50 keywords Step 2: Filter for buying intent (who's ready to call NOW) Step 3: Build a landing page for each keyword + location Step 4: Run an SEO audit ("ultra think" goes deep) Step 5: Fix technical issues (sitemap, schema, speed) Step 6: Spin up sub-agents to research competitors while you work THE KEY: One afternoon of Claude Code > 6 months with an agency. Go vibe market something.

Here's how to do months of SEO work in one afternoon with Claude Code: Step 1: Feed AI your site, ask for 25-50 keywords Step 2: Filter for buying intent (who's ready to call NOW) Step 3: Build a landing page for each keyword + location Step 4: Run an SEO audit ("ultra think" goes deep) Step 5: Fix technical issues (sitemap, schema, speed) Step 6: Spin up sub-agents to research competitors while you work THE KEY: One afternoon of Claude Code > 6 months with an agency. Go vibe market something.

The Startup Ideas Podcast (SIP) 🧃

84,834 views • 7 months ago

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

Most people trying to build a vertical AI business start by building the agent. That's the mistake. Here's the 5-step order that actually works: Step 1) Find a boring pain point - Pick a workflow you already know from your job. - That's your unfair advantage. Step 2) Map the workflow - Literally draw it out. - Every step, every handoff. Step 3) Do the job as a service - Manually. - For real clients. - Before any code. Step 4) Document the edge cases - This is where the real IP lives. - You only find them by doing the work. Step 5) Add vertical agents to replace each step - Now you have proprietary data and a workflow you own. Skip steps 1–4 and you're just building a demo.

The Startup Ideas Podcast (SIP) 🧃

14,202 views • 3 months ago

How to set up weekly SEO monitoring with Openclaw: Step 1: Write a custom skill Step 2: Configure cron Step 3: Wire up the Slack webhook Step 4: Debug it when it breaks ... How to set up weekly SEO monitoring with Helio: Step 1: Tell your AI teammate what you want ✓ Done. Reports go to Slack, email, wherever your team is. And it gets smarter every week. Open-source is for builders. Helio is for teams. Try Helio Now: Join Our Discord:

How to set up weekly SEO monitoring with Openclaw: Step 1: Write a custom skill Step 2: Configure cron Step 3: Wire up the Slack webhook Step 4: Debug it when it breaks ... How to set up weekly SEO monitoring with Helio: Step 1: Tell your AI teammate what you want ✓ Done. Reports go to Slack, email, wherever your team is. And it gets smarter every week. Open-source is for builders. Helio is for teams. Try Helio Now: Join Our Discord:

Markandey Sharma

76,727 views • 1 month ago

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 views • 1 month ago

How to start your Hermes AI Agent (step-by-step guide for beginners) I'm a beginner, and I spent the last 24h: > Understanding the process > Launching my Hermes Agent (Nous Research) > Recording the whole process > Editing this step-by-step guide So you can do it yourself and understand everything in less than 1 hour! 00:00 Intro 00:38 What is Hermes ? Key concepts every beginner should know 01:16 What is a VPS ? 02:00 What is SSH ? 03:52 What is the Terminal ? 04:03 What is an LLM provider ? 04:37 What is an API key ? 04:52 What is the Terminal Backend 05:34 What is the Messaging Gateway ? 06:10 What is the Memory System ? Step-by-step: Launch your Hermes AI agent 06:53 Step 1 : Get your VPS 08:04 How to generate an SSH key 09:00 Step 2 : Connect to your VPS 10:32 Step 3 : Install Hermes Agent 14:34 Connect your agent to Telegram 17:12 How to fix a mistake during the process 17:48 Gateway testing 18:17 Telegram is working 18:31 Run your agent 24/7 19:16 Thank you Make sure to save this for later and share it with friends who want to start with AI agents. Thanks to Teknium 🪽 for being so active!

How to start your Hermes AI Agent (step-by-step guide for beginners) I'm a beginner, and I spent the last 24h: > Understanding the process > Launching my Hermes Agent (Nous Research) > Recording the whole process > Editing this step-by-step guide So you can do it yourself and understand everything in less than 1 hour! 00:00 Intro 00:38 What is Hermes ? Key concepts every beginner should know 01:16 What is a VPS ? 02:00 What is SSH ? 03:52 What is the Terminal ? 04:03 What is an LLM provider ? 04:37 What is an API key ? 04:52 What is the Terminal Backend 05:34 What is the Messaging Gateway ? 06:10 What is the Memory System ? Step-by-step: Launch your Hermes AI agent 06:53 Step 1 : Get your VPS 08:04 How to generate an SSH key 09:00 Step 2 : Connect to your VPS 10:32 Step 3 : Install Hermes Agent 14:34 Connect your agent to Telegram 17:12 How to fix a mistake during the process 17:48 Gateway testing 18:17 Telegram is working 18:31 Run your agent 24/7 19:16 Thank you Make sure to save this for later and share it with friends who want to start with AI agents. Thanks to Teknium 🪽 for being so active!

Theo

33,099 views • 5 months ago

How to set up Claude Skills in 3 min (for complete beginners) Step 1: Create a markdown file with your EXACT process Step 2: Add reference docs (brand guidelines, formulas) Step 3: Write deterministic scripts for calculations Step 4: Deploy once → Same output forever Result: No more prompt engineering. No more hallucinations. Tools: Claude Skills (not basic prompting) Cost: $20/month Time: 30 min setup → Save Hours of Prompting You're one Skill away from building a 10x AI Agent Use this system, you won't regret it

The Startup Ideas Podcast (SIP) 🧃

35,497 views • 9 months ago

i built an AI agent that generates 30+ videos per week using Veo 3 fully automated, runs while i sleep how it works: > input prompt > creates videos using Veo 3 api > write engaging titles with o3 > auto-upload on YouTube no editing no manual upload runs 24/7 follow & comment "veo agent" and i'll send you the step-by-step guide

i built an AI agent that generates 30+ videos per week using Veo 3 fully automated, runs while i sleep how it works: > input prompt > creates videos using Veo 3 api > write engaging titles with o3 > auto-upload on YouTube no editing no manual upload runs 24/7 follow & comment "veo agent" and i'll send you the step-by-step guide

Jeddi

186,404 views • 1 year ago

Sleep while your AI assistant books appointments. This N8N automation will change your sales process forever. 🔥 What you'll learn: • How to build an AI voice agent for appointment confirmation • Step-by-step calendar to outbound dialer connection • Fast response configuration with GP4 mini realtime • Complete template for free download • Easy implementation guide for non-coders Save this video - it will automate your entire appointment booking process while you focus on closing deals! 💯 Want the SOP? DM me.

Sleep while your AI assistant books appointments. This N8N automation will change your sales process forever. 🔥 What you'll learn: • How to build an AI voice agent for appointment confirmation • Step-by-step calendar to outbound dialer connection • Fast response configuration with GP4 mini realtime • Complete template for free download • Easy implementation guide for non-coders Save this video - it will automate your entire appointment booking process while you focus on closing deals! 💯 Want the SOP? DM me.

Julian Goldie SEO

18,459 views • 1 year ago

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓

Anthropic hired this engineer at $250k-$600k/year because he can built projects with zero lines of code - in Claude chat: in this 30-min workshop he showed exactly how, using loops - from 0% to 100% here's workflow, step by step: step 1 → set your rules once at the top: "no preamble, use artifacts, you're a React expert" - every reply after that stays on rails step 2 → load the docs plus a random Medium article about the API - the human explanation teaches it more than the reference step 3 → wrap your ask in XML tags and tell it to ask you questions first. Answer 5, and the scope is locked before a single file exists step 4 → now run the loop: screenshot the broken UI, paste it back, let it fix, screenshot again - each pass gets closer - this is the agentic loop in its simplest form step 5 → push to GitHub, then paste the repo link in - every next loop iteration builds on working code, not chat history most people never did this - it pays for itself on day one watch & bookmark - then read how to get Claude Certified Architect in the article below ↓

codila

289,620 views • 14 days ago

How to launch a working AI product in under 10 minutes. All you need is Appy AI and a clear idea. (Here’s exactly how it works 👇): Step 1: Go to Think of it as your personal AI engineer. Step 2: Type your idea “Create an AI Agent that turns daily AI news into ready-to-post content.” Step 3: AppyAI gets to work It builds the logic, creates your website, connects Stripe, and sets up tools. Step 4: Preview and launch Your product is live ready to sell instantly. Step 5: Share it with your audience You now own a complete AI product. Most people still build the old way. Endless back-and-forth with developers. Weeks wasted on setup and testing. Appy AI changes that. Describe your idea once it builds everything for you. Try now: Repost ♻️ to help others start building.

How to launch a working AI product in under 10 minutes. All you need is Appy AI and a clear idea. (Here’s exactly how it works 👇): Step 1: Go to Think of it as your personal AI engineer. Step 2: Type your idea “Create an AI Agent that turns daily AI news into ready-to-post content.” Step 3: AppyAI gets to work It builds the logic, creates your website, connects Stripe, and sets up tools. Step 4: Preview and launch Your product is live ready to sell instantly. Step 5: Share it with your audience You now own a complete AI product. Most people still build the old way. Endless back-and-forth with developers. Weeks wasted on setup and testing. Appy AI changes that. Describe your idea once it builds everything for you. Try now: Repost ♻️ to help others start building.

Muhammad Ayan

61,441 views • 8 months ago

Anthropic hired this engineer at $250k-$750k/year because he can build knowledge Graphs for multi-agent systems: in this 15-min workshop he explain exactly how, using loops - from scratch step 1 → start from the Claude Agent SDK - you get the loop, context, and sandbox for free - bring the task, not the plumbing step 2 → split the brain from the hands - reasoning in one place, tools in a sandbox - the model thinks while the container boots: ~60% faster to first token step 3 → run it server-side, log every step - close your laptop and it keeps going - crashes resume from the log, not from zero step 4 → make failure cheap - dead sandbox retries, session log replays the context it dropped - that's what survives production step 5 → batch yesterday's logs into new memory and skills - it wakes up smarter - Anthropic calls this "dreaming" most people wire this by hand for weeks - the point is you don't have to watch & bookmark - then read how to get full graph system below ↓

Anthropic hired this engineer at $250k-$750k/year because he can build knowledge Graphs for multi-agent systems: in this 15-min workshop he explain exactly how, using loops - from scratch step 1 → start from the Claude Agent SDK - you get the loop, context, and sandbox for free - bring the task, not the plumbing step 2 → split the brain from the hands - reasoning in one place, tools in a sandbox - the model thinks while the container boots: ~60% faster to first token step 3 → run it server-side, log every step - close your laptop and it keeps going - crashes resume from the log, not from zero step 4 → make failure cheap - dead sandbox retries, session log replays the context it dropped - that's what survives production step 5 → batch yesterday's logs into new memory and skills - it wakes up smarter - Anthropic calls this "dreaming" most people wire this by hand for weeks - the point is you don't have to watch & bookmark - then read how to get full graph system below ↓

codila

116,222 views • 4 days ago

Use this ai workflow to get 1000s of followers/day (Steps and tools included) Step 1: Find 3 posts that went massive Step 2: Ask Claude to break down WHY they worked Step 3: Extract the psychological patterns Step 4: Build prompts that interview YOU for context Tools: Claude 4.1 extended thinking (not basic GPT) Cost: $20/month Time: 10 min setup → infinite personalized content The KEY: Context is KING You have to feed it YOUR voice parameters You have to give it audience psychology You're one prompt away from automating your content creation like a pro Stop using garbage prompts Start reverse-engineering what works Use this playbook

Use this ai workflow to get 1000s of followers/day (Steps and tools included) Step 1: Find 3 posts that went massive Step 2: Ask Claude to break down WHY they worked Step 3: Extract the psychological patterns Step 4: Build prompts that interview YOU for context Tools: Claude 4.1 extended thinking (not basic GPT) Cost: $20/month Time: 10 min setup → infinite personalized content The KEY: Context is KING You have to feed it YOUR voice parameters You have to give it audience psychology You're one prompt away from automating your content creation like a pro Stop using garbage prompts Start reverse-engineering what works Use this playbook

The Startup Ideas Podcast (SIP) 🧃

21,464 views • 10 months ago

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

PhD Students – How to automatically identify 90% of the issues in your research paper before you submit it to a journal? This is possible through manual or automated paper review. First, let’s understand the following. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰? Paper review is a process in which subject matter experts evaluate your paper based on the following criteria: 1. Significance – Is this research important? 2. Novelty – Is this research new? 3. Methodology – Is this research carried out in the correct way? 4. Verifiability – Can other researchers verify this research? 5. Presentation – Is the research presented in the right way? 𝐖𝐡𝐲 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫 𝐫𝐞𝐯𝐢𝐞𝐰𝐞𝐝 𝐛𝐞𝐟𝐨𝐫𝐞 𝐬𝐮𝐛𝐦𝐢𝐬𝐬𝐢𝐨𝐧? ➟ Identify the critical issues in your paper ➟ Fix those issues to increase the chances of your paper acceptance 𝐇𝐨𝐰 𝐭𝐨 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐞 “𝐬𝐞𝐥𝐟-𝐫𝐞𝐯𝐢𝐞𝐰” 𝐨𝐟 𝐲𝐨𝐮𝐫 𝐩𝐚𝐩𝐞𝐫? Paperpal just launched an amazing feature – AI Review. Using this feature, you can get instant self-feedback. This feature will help you in the following ways. ➝ Check for gaps in your logic ➝ Get feedback on the structure and flow of your writing ➝ Review your research questions ➝ Identify opportunities to strengthen your paper ➝ Increase the chances of your paper acceptance Here is a step-by-step process for using AI Review feature. Step 1: Go to and login. Step 2: Open an existing document or make a new document Step 3: Go to the right-side bar and click on checks | AI Review. Step 4: For this feature to work there should be more than 150 words. Step 5: Copy and paste your paper. Step 6: Now go to the right side and check the prompts Step 7: With these prompts, you will evaluate your paper. Step 8: You will find various prompts e.g., suggest writing feedback, check flow and structure etc. Step 9: You can select a prompt from the existing prompts or write your custom prompt and execute Step 10: Paperpal will generate feedback as per the prompt. Step 11: Read through the feedback and save it for further use. Use other specific prompts for tailored feedback. Step 12: This way you can evaluate various aspects of your paper yourself. This is a very customized and efficient way of automatically reviewing your paper. You can also go one step further to work on the feedback and improve your paper based on suggestions. Please note that AI Review feature does not replace human or expert reviewers in any way. This feature only aims to provide you with quick self-feedback. Try the AI Review feature of Paperpal. Paperpal link:

Faheem Ullah

15,270 views • 1 year ago

I've built a team of AI agents to run my business. Here's the exact order I follow: Step 1: Pick a role (executive assistant, head of marketing, etc.) Step 2: Open Claude Code and interview your way into context files "Ask me questions to build this out" Step 3: Build skills through daily use - Daily briefs - Meeting prep - Custom workflows Step 4: Get it all working reliably first. Step 5: THEN migrate to autonomous harnesses like OpenClaw. Most people jump straight to Step 5. That's why their agents break. Start with one agent. One role. Get it right. Then scale

I've built a team of AI agents to run my business. Here's the exact order I follow: Step 1: Pick a role (executive assistant, head of marketing, etc.) Step 2: Open Claude Code and interview your way into context files "Ask me questions to build this out" Step 3: Build skills through daily use - Daily briefs - Meeting prep - Custom workflows Step 4: Get it all working reliably first. Step 5: THEN migrate to autonomous harnesses like OpenClaw. Most people jump straight to Step 5. That's why their agents break. Start with one agent. One role. Get it right. Then scale

The Startup Ideas Podcast (SIP) 🧃

26,691 views • 5 months ago

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

karpathy just broke the internet with something called auto research it’s basically an ai research agent that runs experiments for you 24/7 you give it a goal like “make this model better” “find a higher converting landing page” “lower customer acquisition cost” then it runs a loop: 1) plan an experiment 2) edit the code or config 3) run a short test on a gpu 4) read the metrics 5) keep the winner 6) try again over and over while you sleep by the morning you wake up to the best version actual tested improvements think of it like a robot research intern that runs hundreds of experiments and only keeps the winners this is link to his repo for your to mess around with it in the latest episode of The Startup Ideas Podcast (SIP) 🧃 i break down: • what auto research actually is • how it works step by step • 10 business ideas you can build with it • how to install it and start using it this one is saucy because tools like this change how startups get built watch

GREG ISENBERG

436,482 views • 5 months ago

RunwayML is not limited to 4sec! Here's how you can bypass the limitations 👇 Step 1: Generate your video with Runway Step 2: Get ffmpeg Step 3: Grab the last frame of your video using this command ffmpeg -sseof -3 -i [input_file_name.mp4] -update 1 -q:v 1 [output_file_name.jpg] Step 4 : Use the image output as the input for your next RunwayML generation Step 5: Stich them together in your favorite editing software Step 6: This is the most important step! Like, RT and follow for more good stuff, thanks! ♥️🤗 It's not perfect, but it's a start, I added 5 clips in total in the video below, just so you can see how it evolves over time. With a lot of generations eventually it can look decent for 2-3 clips. Voice by Music and SFX by Epidemic Sound Sound mixing with Ableton

RunwayML is not limited to 4sec! Here's how you can bypass the limitations 👇 Step 1: Generate your video with Runway Step 2: Get ffmpeg Step 3: Grab the last frame of your video using this command ffmpeg -sseof -3 -i [input_file_name.mp4] -update 1 -q:v 1 [output_file_name.jpg] Step 4 : Use the image output as the input for your next RunwayML generation Step 5: Stich them together in your favorite editing software Step 6: This is the most important step! Like, RT and follow for more good stuff, thanks! ♥️🤗 It's not perfect, but it's a start, I added 5 clips in total in the video below, just so you can see how it evolves over time. With a lot of generations eventually it can look decent for 2-3 clips. Voice by Music and SFX by Epidemic Sound Sound mixing with Ableton

Alex Patrascu

535,793 views • 3 years ago

This video will teach you how to build an AI trading bot that actually works. So simple, literally anyone can execute. 0:00 Intro 1:04 Trading bots explained 3:32 Why most bots fail (avoid these mistakes) 5:23 Your options for deploying a bot 9:12 Set up (Step 1) 12:46 Engineering a strategy (Step 2) 16:03 Giving your bot memory (Step 3) 17:48 Building cloud memory 19:04 Testing with paper money

This video will teach you how to build an AI trading bot that actually works. So simple, literally anyone can execute. 0:00 Intro 1:04 Trading bots explained 3:32 Why most bots fail (avoid these mistakes) 5:23 Your options for deploying a bot 9:12 Set up (Step 1) 12:46 Engineering a strategy (Step 2) 16:03 Giving your bot memory (Step 3) 17:48 Building cloud memory 19:04 Testing with paper money

Miles Deutscher

111,362 views • 28 days ago

Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

Kimi CEO Zhilin Yang: "The biggest mistake in agent systems - people trying to build one smarter agent we didn't make one smarter - Kimi made a thousand: one brain, a thousand hands" here's how: step 1 → stop polishing one agent, split the task and run many in parallel - that's the real ceiling-break step 2 → give each agent a long context so it can run for days, not seconds - long context is what lets an agent run long step 3 → give each agent a strong prior, so agent-RL can search for a good solution instead of starting from zero step 4 → don't just add more data - make each token count. they hit the data wall, so they made every token 2x smarter step 5 → don't scale one brain, scale the swarm - many agents working in parallel beat one agent thinking harder he just dropped Kimi K3 - and this 40-min workflow is the best on how to actually use it watch & bookmark - then read the article on saving on agents ↓

codila

60,826 views • 28 days ago