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Leonard Rodman

@RodmanAi • 35,134 subscribers

Agentic AI builder. Loud opinions. Useful tools. 62k on LinkedIn • 41k on YouTube • Collabs DM or [email protected]

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2:14am. Something failed. I was asleep. By 8 it was scoped, patched, and written up. Not just fixed. Written up, with the log excerpt, what it touched, and the one decision he wanted me to sign off before it stayed in. I have been building agentic systems long enough to be suspicious of exactly this. The output usually works and has no taste, and you find out three weeks later what it quietly assumed. What made this different was that it did not close the loop by itself. It did the work and left the judgement to me. Order of operations matters more than capability. Same inputs, wrong sequence, completely different outcome. This one got the sequence right: act, then ask. Viktor

2:14am. Something failed. I was asleep. By 8 it was scoped, patched, and written up. Not just fixed. Written up, with the log excerpt, what it touched, and the one decision he wanted me to sign off before it stayed in. I have been building agentic systems long enough to be suspicious of exactly this. The output usually works and has no taste, and you find out three weeks later what it quietly assumed. What made this different was that it did not close the loop by itself. It did the work and left the judgement to me. Order of operations matters more than capability. Same inputs, wrong sequence, completely different outcome. This one got the sequence right: act, then ask. Viktor

230,495 görüntüleme

Someone just broke the paywall on Claude Design… and almost no one noticed. It’s called Open Design. No subscription. No limits. No “Pro plan required.” Just raw access. 👉 Turn prompts into real UI/UX 👉 Generate designs with Claude 👉 Replace expensive design tools 👉 Fully customizable (open source) This isn’t a tool. It’s a shortcut around the entire design economy. Most people will ignore this. A few will build insane things with it. Guess which side wins. Save this before it explodes Repo:

Someone just broke the paywall on Claude Design… and almost no one noticed. It’s called Open Design. No subscription. No limits. No “Pro plan required.” Just raw access. 👉 Turn prompts into real UI/UX 👉 Generate designs with Claude 👉 Replace expensive design tools 👉 Fully customizable (open source) This isn’t a tool. It’s a shortcut around the entire design economy. Most people will ignore this. A few will build insane things with it. Guess which side wins. Save this before it explodes Repo:

29,227 görüntüleme

Make $700 in 5 minutes ! Easy Side Hustle Discover easy ways to make money from home with these passive income tips! The secrets to earning $30k every month effortlessly. For absolutely FREE: To get it: 1. Follow Leonard Rodman 2. Like and Retweet 3. Reply "earn”

Make $700 in 5 minutes ! Easy Side Hustle Discover easy ways to make money from home with these passive income tips! The secrets to earning $30k every month effortlessly. For absolutely FREE: To get it: 1. Follow Leonard Rodman 2. Like and Retweet 3. Reply "earn”

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My meeting ended 4 minutes ago. My agents have already filed the tickets, updated the tracker, and started chasing people. Yours? Everyone nodded, someone said "I'll take that," and by Thursday you'll be the PM begging five people for the same three updates. Here's the twist. Anthropic just published data on its own workforce, and it's about as AI-native as a company gets. Meeting time per employee is up 20% in a year. A fifth of their people say their job has shifted from doing the work to managing AI. And human attention has become the bottleneck. So AI didn't kill meetings. It made them matter more. Machines can crank out output all day, but trust and accountability still get built when people sit down together. Which means the real battle isn't the meeting. It's the 45 minutes after it. That's where I stopped being a human reminder app. I don’t want to be a human alarm clock. When the call wraps, I drop the recap into a Zenzap group chat where my team and my AI agents work in the same thread, with the same context. Then the agents leap into action. One turns every decision into a ticket and assigns the right owner. One updates the status tracker and flags anything that just slipped. One drafts the stakeholder update and parks it for my approval. One coordinates my developers in a separate technical thread. And one follows up with anyone who hasn't touched their action item in 48 hours. Politely. Relentlessly. So I don't have to. Meanwhile, the humans do the work only humans can do. My engineers solve the hard problem. My analyst pushes back when a requirement doesn't make sense. I make the calls that need judgment. That's the fix for the attention bottleneck. The agents don't bury me in a flood of output. They handle the follow-through and only bring me the decisions that actually need a human. And no, I'm not handing the keys to a robot. I decide who can add agents, what each one is allowed to touch, which chats it can see, and what needs my sign-off before it goes out. If there's no governance, it doesn't ship. Period. The result? Action items stopped dying. Status reports stopped eating my Friday afternoons. And my team stopped dreading my "quick follow-up" messages, because they barely get them anymore. Meetings are going up, not down. If yours still end with "I'll send notes later," you're running a 2015 process with 2026 tools. Watch my video. I'll show you exactly what happens in the first five minutes after my meetings end.

My meeting ended 4 minutes ago. My agents have already filed the tickets, updated the tracker, and started chasing people. Yours? Everyone nodded, someone said "I'll take that," and by Thursday you'll be the PM begging five people for the same three updates. Here's the twist. Anthropic just published data on its own workforce, and it's about as AI-native as a company gets. Meeting time per employee is up 20% in a year. A fifth of their people say their job has shifted from doing the work to managing AI. And human attention has become the bottleneck. So AI didn't kill meetings. It made them matter more. Machines can crank out output all day, but trust and accountability still get built when people sit down together. Which means the real battle isn't the meeting. It's the 45 minutes after it. That's where I stopped being a human reminder app. I don’t want to be a human alarm clock. When the call wraps, I drop the recap into a Zenzap group chat where my team and my AI agents work in the same thread, with the same context. Then the agents leap into action. One turns every decision into a ticket and assigns the right owner. One updates the status tracker and flags anything that just slipped. One drafts the stakeholder update and parks it for my approval. One coordinates my developers in a separate technical thread. And one follows up with anyone who hasn't touched their action item in 48 hours. Politely. Relentlessly. So I don't have to. Meanwhile, the humans do the work only humans can do. My engineers solve the hard problem. My analyst pushes back when a requirement doesn't make sense. I make the calls that need judgment. That's the fix for the attention bottleneck. The agents don't bury me in a flood of output. They handle the follow-through and only bring me the decisions that actually need a human. And no, I'm not handing the keys to a robot. I decide who can add agents, what each one is allowed to touch, which chats it can see, and what needs my sign-off before it goes out. If there's no governance, it doesn't ship. Period. The result? Action items stopped dying. Status reports stopped eating my Friday afternoons. And my team stopped dreading my "quick follow-up" messages, because they barely get them anymore. Meetings are going up, not down. If yours still end with "I'll send notes later," you're running a 2015 process with 2026 tools. Watch my video. I'll show you exactly what happens in the first five minutes after my meetings end.

155,803 görüntüleme • 7 gün önce

Every AI agent you've tried has amnesia. It does one task, forgets everything, and tomorrow you start from zero. That's not an employee. That's a temp you have to retrain every single morning. Hyperagent by Airtable is the first platform I've used that actually fixes this. Here's what got me: 1. Agents that compound. Each agent has memory. The one running today is smarter than the one you shipped three weeks ago. Same prompt, same integrations, but weeks of your judgment baked in. 2. Real deliverables, real receipts. You don't get a chat transcript. You get finished work with the cost and runtime printed right on it. A full research report for under ten bucks. Try getting that invoice from an agency. 3. A fleet, not a chatbot. Build a specialist for outreach, another for research, another for reporting. Give each one its own tools, its own memory, and its own budget cap so nothing runs away with your credits. 4. Deploy to Slack and your whole team uses the agent you built. One competitive intel agent, @ mentioned by everyone. Airtable runs its own data team this way. 5. Each agent gets its own cloud machine with a real browser and code execution. It works while you sleep. No babysitting, no local setup, no laptop that has to stay open. I put it to work in the video below. Watch what it builds. The teams treating agents as durable assets instead of one-off prompts are going to lap everyone else. This is the first tool that actually treats them that way. #ad Hyperagent

Every AI agent you've tried has amnesia. It does one task, forgets everything, and tomorrow you start from zero. That's not an employee. That's a temp you have to retrain every single morning. Hyperagent by Airtable is the first platform I've used that actually fixes this. Here's what got me: 1. Agents that compound. Each agent has memory. The one running today is smarter than the one you shipped three weeks ago. Same prompt, same integrations, but weeks of your judgment baked in. 2. Real deliverables, real receipts. You don't get a chat transcript. You get finished work with the cost and runtime printed right on it. A full research report for under ten bucks. Try getting that invoice from an agency. 3. A fleet, not a chatbot. Build a specialist for outreach, another for research, another for reporting. Give each one its own tools, its own memory, and its own budget cap so nothing runs away with your credits. 4. Deploy to Slack and your whole team uses the agent you built. One competitive intel agent, @ mentioned by everyone. Airtable runs its own data team this way. 5. Each agent gets its own cloud machine with a real browser and code execution. It works while you sleep. No babysitting, no local setup, no laptop that has to stay open. I put it to work in the video below. Watch what it builds. The teams treating agents as durable assets instead of one-off prompts are going to lap everyone else. This is the first tool that actually treats them that way. #ad Hyperagent

94,961 görüntüleme • 3 ay önce

Anthropic just lit a fire 🔥 They pulled Claude Code from the $20 plan… So devs did what devs do: Rebuilt it. Open-source. Better. OpenClaude ↓ • Any model (GPT, Gemini, local) • No subscriptions • No limits • Full coding agent in your terminal But here’s the kicker: You can route tasks across models. Cheap for simple. Powerful for complex. One CLI. Infinite setups. Gatekeep tools → Get replaced. This is going to blow up.

Anthropic just lit a fire 🔥 They pulled Claude Code from the $20 plan… So devs did what devs do: Rebuilt it. Open-source. Better. OpenClaude ↓ • Any model (GPT, Gemini, local) • No subscriptions • No limits • Full coding agent in your terminal But here’s the kicker: You can route tasks across models. Cheap for simple. Powerful for complex. One CLI. Infinite setups. Gatekeep tools → Get replaced. This is going to blow up.

69,074 görüntüleme • 6 ay önce

We spend more time in PDFs than we'd ever admit. Be honest. How many hours last week? And it's never the easy stuff. It's redacting a document line by line. It's hunting for one answer buried in 80 pages. It's reading the same paragraph four times because the contract won't just tell you what you need to know. That's the part nobody puts on their calendar. But it's the part that eats the day. So here's why I'm excited. I've been working with Foxit. And their AI assistant does the thing I always wished my PDF tool could do. You just ask. In plain English. "Redact every name in this file." "What are the payment terms in this agreement?" "Summarize section 7 for me." No menus. No hunting. No reading it four times. You ask, it answers. The document finally works for you instead of the other way around. That's not a small upgrade. That's hours back in your week. Your time is worth more than that. Visit and try it today. Your future self (and your next deal) will thank you.

We spend more time in PDFs than we'd ever admit. Be honest. How many hours last week? And it's never the easy stuff. It's redacting a document line by line. It's hunting for one answer buried in 80 pages. It's reading the same paragraph four times because the contract won't just tell you what you need to know. That's the part nobody puts on their calendar. But it's the part that eats the day. So here's why I'm excited. I've been working with Foxit. And their AI assistant does the thing I always wished my PDF tool could do. You just ask. In plain English. "Redact every name in this file." "What are the payment terms in this agreement?" "Summarize section 7 for me." No menus. No hunting. No reading it four times. You ask, it answers. The document finally works for you instead of the other way around. That's not a small upgrade. That's hours back in your week. Your time is worth more than that. Visit and try it today. Your future self (and your next deal) will thank you.

44,562 görüntüleme • 4 ay önce

The average Data Analyst salary is $200,000 a year. If you want a career in Data Analytics, I will share with you courses that will help you. - deleting this soon !! - Like and Reply “course” to get instant Dm [ Must be following so I can Dm ]

The average Data Analyst salary is $200,000 a year. If you want a career in Data Analytics, I will share with you courses that will help you. - deleting this soon !! - Like and Reply “course” to get instant Dm [ Must be following so I can Dm ]

140,406 görüntüleme • 2 yıl önce

The thing that makes human employees so valuable is that they can all talk to each other. So how come our AI agents and human employees aren’t communicating? That’s why I’m so excited about Switch, a free, self-hostable tool that brings your agents and human employees together in the collaboration and messaging platforms they already use, including Slack, Teams, Discord, and Telegram. It’s super easy to talk to your AI agents with Switch, and context is automatically carried over and compacted within individual channels, solving one of the biggest challenges in the space neatly and cleanly. What impressed me so much was the ability to start workflows with a simple Slack message from my phone, compared to working in console or code in a traditional automation environment. Since the agents are all brought together in a familiar environment, you don’t have to juggle a million apps and interfaces - it all works from one place. I think I might be in love. Take a look yourself at Switch and let me know what you think in the comments below! Paid partnership with @FlintAI

The thing that makes human employees so valuable is that they can all talk to each other. So how come our AI agents and human employees aren’t communicating? That’s why I’m so excited about Switch, a free, self-hostable tool that brings your agents and human employees together in the collaboration and messaging platforms they already use, including Slack, Teams, Discord, and Telegram. It’s super easy to talk to your AI agents with Switch, and context is automatically carried over and compacted within individual channels, solving one of the biggest challenges in the space neatly and cleanly. What impressed me so much was the ability to start workflows with a simple Slack message from my phone, compared to working in console or code in a traditional automation environment. Since the agents are all brought together in a familiar environment, you don’t have to juggle a million apps and interfaces - it all works from one place. I think I might be in love. Take a look yourself at Switch and let me know what you think in the comments below! Paid partnership with @FlintAI

13,278 görüntüleme • 2 ay önce

CHINA JUST DROPPED THE BIGGEST THREAT TO EVERY SaaS APP. Alibaba just open-sourced PageAgent. And almost nobody is talking about it. Imagine opening a web app and typing: > "Log in, generate my report, export it to PDF, and email it." It just... does it. No browser extension. No screenshots. No backend rewrite. No custom AI workflow. Just ONE line of JavaScript. ``html `` That's the entire integration. Your website instantly gets an AI agent that can: • Control your UI with natural language • Fill forms automatically • Navigate across pages • Execute multi-step workflows • Support voice commands • Connect to MCP servers • Use any LLM (Qwen, GPT, Claude, etc.) This changes everything. Every SaaS can become an AI copilot. Every enterprise dashboard becomes conversational. And every founder spending months building AI interfaces just got leapfrogged. The era of clicking through menus is ending. The era of talking to software has started.

CHINA JUST DROPPED THE BIGGEST THREAT TO EVERY SaaS APP. Alibaba just open-sourced PageAgent. And almost nobody is talking about it. Imagine opening a web app and typing: > "Log in, generate my report, export it to PDF, and email it." It just... does it. No browser extension. No screenshots. No backend rewrite. No custom AI workflow. Just ONE line of JavaScript. ``html `` That's the entire integration. Your website instantly gets an AI agent that can: • Control your UI with natural language • Fill forms automatically • Navigate across pages • Execute multi-step workflows • Support voice commands • Connect to MCP servers • Use any LLM (Qwen, GPT, Claude, etc.) This changes everything. Every SaaS can become an AI copilot. Every enterprise dashboard becomes conversational. And every founder spending months building AI interfaces just got leapfrogged. The era of clicking through menus is ending. The era of talking to software has started.

20,673 görüntüleme • 3 ay önce

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