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Viktor gave me 10+ hours back every week: less repetitive work, more time to actually grow. The hours weren't the surprising part. I run an AI-focused content business, so I'm constantly juggling content, outreach, research, and repetitive workflows. At first I was skeptical of AI employees. Most AI tools... still needed me to tell them exactly what to do. I tried a few workflows, but the same problem kept coming back: I was still the one moving everything forward. Then I handed the work to Viktor. He lives inside Slack and Microsoft Teams, connects to 3,200+ tools, and executes the workflow instead of telling me how to run it. The work stopped coming back to me for approval on every step, and those 10+ hours a week now go into growing the business instead of running it. That changed what AI is here, from something our team uses to something our team delegates to. I don't need another AI tool. Our team needs AI that can actually own the work. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #ContentOps Paid Partnershipshow more

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An agency added $133,752 in new annual recurring revenue in its first 30 days. No new hires. No new service line. That number made me stop scrolling. I spend a lot of time researching AI tools. The biggest time sink isn't testing them. It's comparing features, checking updates, and turning scattered information into something useful. So I tried Viktor Viktor is an AI employee that works inside Slack. I asked it to research the latest AI video generation tools, compare their features, pricing, and best use cases. Instead of starting from a blank page, I had a structured proposal waiting for review. I kept the final approval. Viktor handled the work. That reminded me of Nico Torres, Founder of Authority Makers. His team used Viktor to run work that simply wasn't getting done before, adding $133,752 in new annual recurring revenue in the first 30 days without adding headcount. Most AI tells you what to do. Viktor does the work. Try free at Viktor. $100 in credits included, no card. Full link in the first comment. #AIemployee #AITools #Productivity Paid Partnership

An agency added $133,752 in new annual recurring revenue in its first 30 days. No new hires. No new service line. That number made me stop scrolling. I spend a lot of time researching AI tools. The biggest time sink isn't testing them. It's comparing features, checking updates, and turning scattered information into something useful. So I tried Viktor Viktor is an AI employee that works inside Slack. I asked it to research the latest AI video generation tools, compare their features, pricing, and best use cases. Instead of starting from a blank page, I had a structured proposal waiting for review. I kept the final approval. Viktor handled the work. That reminded me of Nico Torres, Founder of Authority Makers. His team used Viktor to run work that simply wasn't getting done before, adding $133,752 in new annual recurring revenue in the first 30 days without adding headcount. Most AI tells you what to do. Viktor does the work. Try free at Viktor. $100 in credits included, no card. Full link in the first comment. #AIemployee #AITools #Productivity Paid Partnership

Sam brown | AI Tools & News

45,778 views • 8 days ago

Our team was spending around 6+ hours every week figuring out where projects actually stood. The work wasn't the problem. Finding the latest context was. I run a team where multiple projects move at the same time, so keeping everyone aligned used to mean checking dozens of Slack conversations every day. That worked for a while. Until it didn't. The turning point wasn't asking Viktor better questions. It was giving him one recurring responsibility. Stay on top of every active project. Now he keeps track of progress, highlights anything that's stalled, prepares updates before meetings, and gives the team one place to review what actually needs attention. Nobody has to chase information anymore. The work is already organized before we start. That one change probably saved more time than any prompt I've ever written. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership.

Our team was spending around 6+ hours every week figuring out where projects actually stood. The work wasn't the problem. Finding the latest context was. I run a team where multiple projects move at the same time, so keeping everyone aligned used to mean checking dozens of Slack conversations every day. That worked for a while. Until it didn't. The turning point wasn't asking Viktor better questions. It was giving him one recurring responsibility. Stay on top of every active project. Now he keeps track of progress, highlights anything that's stalled, prepares updates before meetings, and gives the team one place to review what actually needs attention. Nobody has to chase information anymore. The work is already organized before we start. That one change probably saved more time than any prompt I've ever written. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership.

Kaitee

59,483 views • 13 days ago

We wanted to know if Viktor could own a real job. Our first pilot reduced a five-client reporting workflow from 12 to 15 hours of manual work to roughly an hour of team review. We're a digital marketing team managing paid media performance and client reporting, so we decided to test Viktor on one recurring workflow that every agency knows too well. Weekly reporting. Viktor didn't just summarize data. He produced a complete five-page report with an executive summary, funnel insights, channel performance, recommendations, and a final review checklist. Our team's job became reviewing and approving the work instead of building every report from scratch. That was the moment we stopped thinking about AI as another chat window. The real value wasn't getting better answers. It was handing off a recurring job and getting consistent work back every week while keeping our team in control of the final decision. Most AI tells you what to do. Viktor does it. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnership.

We wanted to know if Viktor could own a real job. Our first pilot reduced a five-client reporting workflow from 12 to 15 hours of manual work to roughly an hour of team review. We're a digital marketing team managing paid media performance and client reporting, so we decided to test Viktor on one recurring workflow that every agency knows too well. Weekly reporting. Viktor didn't just summarize data. He produced a complete five-page report with an executive summary, funnel insights, channel performance, recommendations, and a final review checklist. Our team's job became reviewing and approving the work instead of building every report from scratch. That was the moment we stopped thinking about AI as another chat window. The real value wasn't getting better answers. It was handing off a recurring job and getting consistent work back every week while keeping our team in control of the final decision. Most AI tells you what to do. Viktor does it. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnership.

Sean Wallace

51,510 views • 1 month ago

An agency added $133,752 in new annual recurring revenue in its first 30 days with Viktor. No new hires. No new service line. I spend most of my time testing AI tools for content and outbound work, so I don't say that lightly. Every team I talk to has the same problem. The strategy is fine. The relationships are fine. What's missing is capacity, the high-value work sitting on the backlog because nobody has the hours to own it. I've watched teams try to fix that by hiring, or by bolting on another tool that just answers questions and calls it done. Then I read what happened at Authority Makers. Nico Torres, the founder, didn't hire and didn't add a service line. He gave Viktor the outbound and lead gen work that had been sitting untouched. $133,752 in new ARR in the first 30 days. Same team, same strategy. The only thing that changed was who was doing the work. Most AI tells you what to do. Viktor does it. Tell me I'm wrong. Try free at Viktor. $100 in credits, no card. Full link in my first reply. Paid Partnership

An agency added $133,752 in new annual recurring revenue in its first 30 days with Viktor. No new hires. No new service line. I spend most of my time testing AI tools for content and outbound work, so I don't say that lightly. Every team I talk to has the same problem. The strategy is fine. The relationships are fine. What's missing is capacity, the high-value work sitting on the backlog because nobody has the hours to own it. I've watched teams try to fix that by hiring, or by bolting on another tool that just answers questions and calls it done. Then I read what happened at Authority Makers. Nico Torres, the founder, didn't hire and didn't add a service line. He gave Viktor the outbound and lead gen work that had been sitting untouched. $133,752 in new ARR in the first 30 days. Same team, same strategy. The only thing that changed was who was doing the work. Most AI tells you what to do. Viktor does it. Tell me I'm wrong. Try free at Viktor. $100 in credits, no card. Full link in my first reply. Paid Partnership

Alex Moore

31,672 views • 1 month ago

The first campaign Viktor reviewed caught problems we didn't even know were there. We're a digital marketing team managing campaigns across multiple ad platforms, and before every launch someone on the team would manually check tracking, landing pages, targeting, budgets, creatives, and campaign settings. It was repetitive work, but missing just one detail could turn into wasted budget or inaccurate reporting. Instead of asking Viktor to help with individual checks, we gave him ownership of our entire campaign launch QA workflow. The first thing that stood out wasn't how quickly he worked. It was how thorough he was. Across one month, Viktor completed QA for 30 campaigns, executed 330 automated checks, and identified 47 issues, including 14 critical errors that could have affected campaign performance before a single campaign went live. By the time our team stepped in, all that was left was reviewing his findings and approving the launch. That completely changed the way we approached campaign launches. Instead of spending 65 hours every month on manual QA, our workflow was reduced to just 10.5 hours of strategic review giving our team back an estimated 54.5 hours to focus on optimization instead of repetitive checks. The biggest takeaway wasn't the time we saved. It was knowing every campaign went through the same level of quality control before launch. That's the difference we've started seeing between an AI assistant and an AI employee. An assistant waits for prompts. An AI employee owns recurring work while your team focuses on the decisions that matter most. Every campaign your team launches without this is a risk someone on your team is quietly absorbing. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #MarketingOps #DigitalMarketing Paid Partnership

The first campaign Viktor reviewed caught problems we didn't even know were there. We're a digital marketing team managing campaigns across multiple ad platforms, and before every launch someone on the team would manually check tracking, landing pages, targeting, budgets, creatives, and campaign settings. It was repetitive work, but missing just one detail could turn into wasted budget or inaccurate reporting. Instead of asking Viktor to help with individual checks, we gave him ownership of our entire campaign launch QA workflow. The first thing that stood out wasn't how quickly he worked. It was how thorough he was. Across one month, Viktor completed QA for 30 campaigns, executed 330 automated checks, and identified 47 issues, including 14 critical errors that could have affected campaign performance before a single campaign went live. By the time our team stepped in, all that was left was reviewing his findings and approving the launch. That completely changed the way we approached campaign launches. Instead of spending 65 hours every month on manual QA, our workflow was reduced to just 10.5 hours of strategic review giving our team back an estimated 54.5 hours to focus on optimization instead of repetitive checks. The biggest takeaway wasn't the time we saved. It was knowing every campaign went through the same level of quality control before launch. That's the difference we've started seeing between an AI assistant and an AI employee. An assistant waits for prompts. An AI employee owns recurring work while your team focuses on the decisions that matter most. Every campaign your team launches without this is a risk someone on your team is quietly absorbing. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #MarketingOps #DigitalMarketing Paid Partnership

Kylie

92,501 views • 28 days ago

An agency added $133,752 in new ARR in 30 days. No new hires. Just work that wasn't getting done before. We run an AI-focused X account testing tools and workflows that actually save teams real time, not just add more steps. Most AI tools stop after giving you an answer. We wanted to see what happened when you gave one actual work to do. We added Viktor to our Slack workspace and connected him to our existing tools. Instead of bouncing between apps, we handed him work directly inside the workspace our team already uses. He started producing real outputs, not just suggestions. We asked him to summarize this week's AI news. He came back with a structured briefing: biggest stories, why they matter, key takeaways, and a thread-ready digest, all posted directly into Slack. It felt less like chatting with an AI and more like handing work to a teammate. We also ran a workflow that normally means switching between several apps and manually stitching everything together. Viktor handled it in the same place our team already collaborates. Reports, summaries, deliverables, done. That's what makes him different. The value isn't better answers. It's an AI employee who executes work that would otherwise sit on someone's to-do list. Nico Torres, Founder of Authority Makers, saw it in month one: $133,752 in new ARR from outbound work Viktor ran that previously had no one running it. Tell me I'm wrong, but this is what a non-human hire actually looks like in practice. Get started free at Viktor. $100 in credits included, no card. #AIemployee #AIWorkflows #ProductivityTools Paid Partnership

An agency added $133,752 in new ARR in 30 days. No new hires. Just work that wasn't getting done before. We run an AI-focused X account testing tools and workflows that actually save teams real time, not just add more steps. Most AI tools stop after giving you an answer. We wanted to see what happened when you gave one actual work to do. We added Viktor to our Slack workspace and connected him to our existing tools. Instead of bouncing between apps, we handed him work directly inside the workspace our team already uses. He started producing real outputs, not just suggestions. We asked him to summarize this week's AI news. He came back with a structured briefing: biggest stories, why they matter, key takeaways, and a thread-ready digest, all posted directly into Slack. It felt less like chatting with an AI and more like handing work to a teammate. We also ran a workflow that normally means switching between several apps and manually stitching everything together. Viktor handled it in the same place our team already collaborates. Reports, summaries, deliverables, done. That's what makes him different. The value isn't better answers. It's an AI employee who executes work that would otherwise sit on someone's to-do list. Nico Torres, Founder of Authority Makers, saw it in month one: $133,752 in new ARR from outbound work Viktor ran that previously had no one running it. Tell me I'm wrong, but this is what a non-human hire actually looks like in practice. Get started free at Viktor. $100 in credits included, no card. #AIemployee #AIWorkflows #ProductivityTools Paid Partnership

Farlane

101,043 views • 1 month ago

We tested 40+ AI tools in 6 months and shelved almost all of them. The one that stuck did not answer questions, he did the work. I run an AI creator channel and my team ships tool breakdowns and experiments every week. Most of what we review is a smarter search box. Useful, forgettable. Our editor brought in one AI teammate for a single job: turning raw call notes into publish-ready scripts. I almost pulled the plug in week 1 because the first drafts missed our voice. Then it clicked. We fed him our back catalog and it started matching tone across the whole workspace. Within weeks the spread happened. Our researcher handed off competitor pulls, our ops lead handed off the content calendar, and I handed off first-pass edits. That was capacity we could not buy: 3x the output with the same 4 people, and a hire we did not have to make this quarter. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #GenAI #contentops Paid Partnership

We tested 40+ AI tools in 6 months and shelved almost all of them. The one that stuck did not answer questions, he did the work. I run an AI creator channel and my team ships tool breakdowns and experiments every week. Most of what we review is a smarter search box. Useful, forgettable. Our editor brought in one AI teammate for a single job: turning raw call notes into publish-ready scripts. I almost pulled the plug in week 1 because the first drafts missed our voice. Then it clicked. We fed him our back catalog and it started matching tone across the whole workspace. Within weeks the spread happened. Our researcher handed off competitor pulls, our ops lead handed off the content calendar, and I handed off first-pass edits. That was capacity we could not buy: 3x the output with the same 4 people, and a hire we did not have to make this quarter. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #GenAI #contentops Paid Partnership

Kuria | AI

15,454 views • 3 days ago

Excited to announce Viktor in Microsoft Teams. This week we crossed $20M in annualized revenue run rate. In Slack. One app, no sales team, no rollout. Now Viktor goes where the rest of the working world actually is. 320 million people work in Microsoft Teams. The biggest org chart on earth – departments, approval chains, the manager and the manager's manager. Here's what we actually built for them: the first AI where the barrier to entry is zero. You don't learn it. You don't prompt it. You don't even have to understand what AI can do. You Mention Viktor like a coworker, and the finished work comes back. In fact, you don't even need to mention Viktor. Viktor makes everyone AI-native. No course, no manual, no learning curve – the value comes to you, you don't reach for it. That's the mission: bring our rebellious optimist to the people who need him most. The operators and managers buried inside big companies. The frontline. The ones who were never shown what this could actually do for them – until today. Workspaces are where agents belong. Not apps. Viktor is live in Microsoft Teams. $100 in credits to start, no card. The AI for the rest of us – now where the rest of us report to someone.

Excited to announce Viktor in Microsoft Teams. This week we crossed $20M in annualized revenue run rate. In Slack. One app, no sales team, no rollout. Now Viktor goes where the rest of the working world actually is. 320 million people work in Microsoft Teams. The biggest org chart on earth – departments, approval chains, the manager and the manager's manager. Here's what we actually built for them: the first AI where the barrier to entry is zero. You don't learn it. You don't prompt it. You don't even have to understand what AI can do. You Mention Viktor like a coworker, and the finished work comes back. In fact, you don't even need to mention Viktor. Viktor makes everyone AI-native. No course, no manual, no learning curve – the value comes to you, you don't reach for it. That's the mission: bring our rebellious optimist to the people who need him most. The operators and managers buried inside big companies. The frontline. The ones who were never shown what this could actually do for them – until today. Workspaces are where agents belong. Not apps. Viktor is live in Microsoft Teams. $100 in credits to start, no card. The AI for the rest of us – now where the rest of us report to someone.

Fryd Wiatrowski

689,985 views • 2 months ago

$I realized we weren't waiting on clients. We were waiting on approvals. I run a digital marketing agency, and before every campaign launch the same thing happened. Someone asked if the creative had been approved. Someone else checked whether the copy was signed off. Another person chased budget approval. Then somebody opened three different spreadsheets just to figure out what was still missing. Launching the campaign wasn't stressful. Figuring out whether we were actually ready to launch was. For a while, I assumed that was just part of running an agency. The bigger we got, the more Slack messages we sent. The more follow-ups we wrote. The more time disappeared into checking whether everyone else had done their part. Everything changed when I stopped using Viktor as another AI tool and gave him ownership of our approval and launch coordination workflow. Now my team hands Viktor the campaign requirements. He tracks every approval, follows up automatically, flags blockers before they delay launches, verifies every asset, runs launch readiness checks, and prepares the final launch confirmation before anyone on the team reviews it. Last month that meant coordinating 10 campaigns across 5 clients, completing 40 approval workflows and preparing 90 launch deliverables before our team stepped in. What used to consume 83.5 hours of manual work now requires a fraction of that effort, reducing manual work by 88%. The biggest shift wasn't moving faster. It was no longer wondering whether a campaign was actually ready to launch. Most campaign delays aren't a capacity problem. They're an approval problem nobody assigned to anyone. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyOps #Marketing Paid Partnership$

I realized we weren't waiting on clients. We were waiting on approvals. I run a digital marketing agency, and before every campaign launch the same thing happened. Someone asked if the creative had been approved. Someone else checked whether the copy was signed off. Another person chased budget approval. Then somebody opened three different spreadsheets just to figure out what was still missing. Launching the campaign wasn't stressful. Figuring out whether we were actually ready to launch was. For a while, I assumed that was just part of running an agency. The bigger we got, the more Slack messages we sent. The more follow-ups we wrote. The more time disappeared into checking whether everyone else had done their part. Everything changed when I stopped using Viktor as another AI tool and gave him ownership of our approval and launch coordination workflow. Now my team hands Viktor the campaign requirements. He tracks every approval, follows up automatically, flags blockers before they delay launches, verifies every asset, runs launch readiness checks, and prepares the final launch confirmation before anyone on the team reviews it. Last month that meant coordinating 10 campaigns across 5 clients, completing 40 approval workflows and preparing 90 launch deliverables before our team stepped in. What used to consume 83.5 hours of manual work now requires a fraction of that effort, reducing manual work by 88%. The biggest shift wasn't moving faster. It was no longer wondering whether a campaign was actually ready to launch. Most campaign delays aren't a capacity problem. They're an approval problem nobody assigned to anyone. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyOps #Marketing Paid Partnership

Tyler Wayne

80,376 views • 20 days ago

I built a Nous Research Hermes workflow that my team at Box uses to track AI trends. Every day at 7am, it researches what's happening across the AI ecosystem and generates a brief for our team. We use it to identify: • AI trends worth paying attention to • Open source projects gaining momentum • New tools developers are adopting • Content opportunities to work on next I've been building agentic workflows for months, and this is one I've actually integrated into my team's daily workflow. Here's how I built it:

I built a Nous Research Hermes workflow that my team at Box uses to track AI trends. Every day at 7am, it researches what's happening across the AI ecosystem and generates a brief for our team. We use it to identify: • AI trends worth paying attention to • Open source projects gaining momentum • New tools developers are adopting • Content opportunities to work on next I've been building agentic workflows for months, and this is one I've actually integrated into my team's daily workflow. Here's how I built it:

Chris Kim

78,552 views • 1 month ago

Building your own AI team can cost $10,000+ before it produces anything useful. Then comes the infrastructure, integrations, millions of tokens, maintenance, and people needed to keep it running. Viktor just turned that entire model upside down. It gives B2B teams an AI workforce that lives inside Slack or Teams, connects with 3,000+ tools, and completes actual jobs across reporting, audits, campaigns, creative briefs, and outbound. You do not spend hours prompting it. You assign the job. Viktor creates the deliverable, posts it in the channel, waits for approval, and ships it. This is the gap almost every AI company missed. Everyone kept talking about intelligent agents, while businesses were still waiting for AI that could reliably do the work inside the systems they already use. Viktor is not selling the idea of an AI employee. It built one. An agency reportedly added $133,752 in new recurring revenue within its first 30 days using it, without hiring more people or adding a new service line. OpenClaw beater? Maybe. But the bigger story is that practical AI has finally started catching up with the promises. Try it free at Viktor. You get $100 in credits with no card required. Full link in my first reply (Paid Partnership by Viktor)

Building your own AI team can cost $10,000+ before it produces anything useful. Then comes the infrastructure, integrations, millions of tokens, maintenance, and people needed to keep it running. Viktor just turned that entire model upside down. It gives B2B teams an AI workforce that lives inside Slack or Teams, connects with 3,000+ tools, and completes actual jobs across reporting, audits, campaigns, creative briefs, and outbound. You do not spend hours prompting it. You assign the job. Viktor creates the deliverable, posts it in the channel, waits for approval, and ships it. This is the gap almost every AI company missed. Everyone kept talking about intelligent agents, while businesses were still waiting for AI that could reliably do the work inside the systems they already use. Viktor is not selling the idea of an AI employee. It built one. An agency reportedly added $133,752 in new recurring revenue within its first 30 days using it, without hiring more people or adding a new service line. OpenClaw beater? Maybe. But the bigger story is that practical AI has finally started catching up with the promises. Try it free at Viktor. You get $100 in credits with no card required. Full link in my first reply (Paid Partnership by Viktor)

Eyisha Zyer

61,517 views • 28 days ago

I saved $120,000 yearly on Business Analyst with AI It took me 100+ hours to learn and 5 hours to craft it. And I created an AI Business Analyst, which will work for you 24/7 for FREE. Follow me, RT the post, Comment "🤖" below this and I'll auto DM it to you

I saved $120,000 yearly on Business Analyst with AI It took me 100+ hours to learn and 5 hours to craft it. And I created an AI Business Analyst, which will work for you 24/7 for FREE. Follow me, RT the post, Comment "🤖" below this and I'll auto DM it to you

Serge Kuznetsov

28,859 views • 3 years ago

A lot of AI agent products promise “automation.” What they actually give you is another dashboard to micromanage. You spend hours wiring prompts, APIs, workflows, memory systems, and tool calls before the agents even begin doing real work. That’s been my experience with most agent stacks so far. Then I tried Helio The difference hit immediately. Instead of configuring everything like an engineer, I just gave the system an outcome. The AI teammates coordinated tasks, delegated work between themselves, and started executing while I was away. No babysitting. No endless tweaking. No orchestration headaches. For the first time, an AI agent product felt less like “using software” and more like hiring a small autonomous team. That’s the direction the market is moving toward fast.

A lot of AI agent products promise “automation.” What they actually give you is another dashboard to micromanage. You spend hours wiring prompts, APIs, workflows, memory systems, and tool calls before the agents even begin doing real work. That’s been my experience with most agent stacks so far. Then I tried Helio The difference hit immediately. Instead of configuring everything like an engineer, I just gave the system an outcome. The AI teammates coordinated tasks, delegated work between themselves, and started executing while I was away. No babysitting. No endless tweaking. No orchestration headaches. For the first time, an AI agent product felt less like “using software” and more like hiring a small autonomous team. That’s the direction the market is moving toward fast.

Atul Kumar

34,956 views • 2 months ago

I thought I was testing another AI website builder. I was wrong. Teamily AI turns ideas into interactive experiences inside a shared conversation where people and AI agents can work together in the same space. Instead of creating something alone, teammates can join the discussion, bring in AI specialists, and refine the result together. The interesting part isn't just what AI creates... It's how humans and AI collaborate to build it. From the first idea to the final experience everyone stays connected through one shared workflow. 🔗 Teamily AI

I thought I was testing another AI website builder. I was wrong. Teamily AI turns ideas into interactive experiences inside a shared conversation where people and AI agents can work together in the same space. Instead of creating something alone, teammates can join the discussion, bring in AI specialists, and refine the result together. The interesting part isn't just what AI creates... It's how humans and AI collaborate to build it. From the first idea to the final experience everyone stays connected through one shared workflow. 🔗 Teamily AI

marcus

33,863 views • 25 days ago

Why you should probably hire an "AI Operations Lead," whose job is to make everyone at your company more productive using AI tools and workflows. "I sit with her once a week, and every time I'm doing something repetitively, we put it in a to-do list. She then builds prompts and workflows so that I and everyone else on the team are automating as much as possible. If you're working in a job all day, you're fighting fires, you're like, okay, am I gonna do this in the way that I know how, or am I gonna do it in the new way that might not work? Having an AI ops lead lets, you basically identify those things and then have them solved, without people who are doing the work having to take time to do it. Which makes it much more likely it happens." — Dan Shipper 📧

Why you should probably hire an "AI Operations Lead," whose job is to make everyone at your company more productive using AI tools and workflows. "I sit with her once a week, and every time I'm doing something repetitively, we put it in a to-do list. She then builds prompts and workflows so that I and everyone else on the team are automating as much as possible. If you're working in a job all day, you're fighting fires, you're like, okay, am I gonna do this in the way that I know how, or am I gonna do it in the new way that might not work? Having an AI ops lead lets, you basically identify those things and then have them solved, without people who are doing the work having to take time to do it. Which makes it much more likely it happens." — Dan Shipper 📧

Lenny Rachitsky

153,878 views • 1 year ago

In 2026, will you still be doing work in the most manual way possible? Research suggests that employees spend up to 100 hours a month on work that shouldn’t require humans. Good news: the agentic era is already here. Enterprise teams are automating repetitive, tedious workflows with AI agents that connect securely to tools and data. Fully governed, compliant AI orchestration, with built-in analytics and security—that's StackAI.

In 2026, will you still be doing work in the most manual way possible? Research suggests that employees spend up to 100 hours a month on work that shouldn’t require humans. Good news: the agentic era is already here. Enterprise teams are automating repetitive, tedious workflows with AI agents that connect securely to tools and data. Fully governed, compliant AI orchestration, with built-in analytics and security—that's StackAI.

StackAI

418,314 views • 8 months ago

My upcoming release of "Cinematic AI" has made me think about how bodies of work are formed. I think some are manifested and some are revealed. I think "Cinematic AI" falls into the latter category. It was not something I had a clear vision for and then created, but it was something that was revealed to me over time. I thought I saw a glimmer of it early on, but only after some time had past, could I see the body of work emerge. With a bit more context and watching great artists and how they work and think, it finally came to me that this series of 15-20 pieces that I had created could be a worthy collection to mint. AI art has been going through so many transformations from the early GAN work to Collaborative AI to now AI being widely accessible through platforms like MidJourney, Stable Diffusion, and many others. But one area that I have seen explode in recent months is cinematic AI. I distinguish this from animated AI, which has been around for a while, but cinematic AI is where the movements created by AI are getting closer to what you'd see in a movie or captured on a video camera. It still has a long way to go but it is getting more real than surreal as the technology develops. And this is where I seem to have found my groove, my home, my little corner in the artistic landscape. After Runway launched their image-to-video tool, it just blew my mind and I went down a deep rabbit hole and have created a new cinematic AI piece almost every other day for the past few months. I initially saw many of these pieces as just experiments, but with some time to reflect, I am seeing them as having the potential of being relevant pieces of artwork to mark this time in the development of AI. In some cases, I'm not sure if I'll ever be able to create a similar piece again, since the tools I use are not in my control, but in the control of the AI platforms, who are constantly improving and evolving the tools. Given all of this, there is no better way to mark my place in time than on the blockchain. I truly believe that this body of work has the potential to be an important artifact of this era in AI and AI art. It is always hard to judge ones own work, but what I can do is permanently etch in time on an immutable public database saying that I created this. Only time will tell if the work has any value or is of any significance, but who created it and what was created cannot be disputed. I hope this gives you and especially collectors some perspective on the work I'll be releasing next week. I'm still very early in my artistic journey, but hopefully some of you will see promise in what I'm doing and maybe even put in a early bet on my art practice by bidding on a piece next week. Thanks to all of you who have supported me, taught me, advised me, been a friend to me. Much love and respect.🙏 ------------------------------------- CINEMATIC AI October 25, 2023 Marking on the blockchain, establishing historical provenance for a cinematic AI body of work. Minting on Transient Labs ERC-721TL Listing on SuperRare

My upcoming release of "Cinematic AI" has made me think about how bodies of work are formed. I think some are manifested and some are revealed. I think "Cinematic AI" falls into the latter category. It was not something I had a clear vision for and then created, but it was something that was revealed to me over time. I thought I saw a glimmer of it early on, but only after some time had past, could I see the body of work emerge. With a bit more context and watching great artists and how they work and think, it finally came to me that this series of 15-20 pieces that I had created could be a worthy collection to mint. AI art has been going through so many transformations from the early GAN work to Collaborative AI to now AI being widely accessible through platforms like MidJourney, Stable Diffusion, and many others. But one area that I have seen explode in recent months is cinematic AI. I distinguish this from animated AI, which has been around for a while, but cinematic AI is where the movements created by AI are getting closer to what you'd see in a movie or captured on a video camera. It still has a long way to go but it is getting more real than surreal as the technology develops. And this is where I seem to have found my groove, my home, my little corner in the artistic landscape. After Runway launched their image-to-video tool, it just blew my mind and I went down a deep rabbit hole and have created a new cinematic AI piece almost every other day for the past few months. I initially saw many of these pieces as just experiments, but with some time to reflect, I am seeing them as having the potential of being relevant pieces of artwork to mark this time in the development of AI. In some cases, I'm not sure if I'll ever be able to create a similar piece again, since the tools I use are not in my control, but in the control of the AI platforms, who are constantly improving and evolving the tools. Given all of this, there is no better way to mark my place in time than on the blockchain. I truly believe that this body of work has the potential to be an important artifact of this era in AI and AI art. It is always hard to judge ones own work, but what I can do is permanently etch in time on an immutable public database saying that I created this. Only time will tell if the work has any value or is of any significance, but who created it and what was created cannot be disputed. I hope this gives you and especially collectors some perspective on the work I'll be releasing next week. I'm still very early in my artistic journey, but hopefully some of you will see promise in what I'm doing and maybe even put in a early bet on my art practice by bidding on a piece next week. Thanks to all of you who have supported me, taught me, advised me, been a friend to me. Much love and respect.🙏 ------------------------------------- CINEMATIC AI October 25, 2023 Marking on the blockchain, establishing historical provenance for a cinematic AI body of work. Minting on Transient Labs ERC-721TL Listing on SuperRare

Chikai

21,517 views • 2 years ago

Built an AI maturity assessment. It's designed to answer... • how AI-native your team really is • where the bottlenecks are • what good looks like • and what to do next We turned the AI transformation model into something practical you can actually use. Takes about 3 minutes. Chat with it and it gives back: • a detailed AI maturity assessment • strengths and gaps across your workflows • practical recommendations • a downloadable report you can share internally The goal wasn’t to make a gimmicky quiz (please give me direct feedback on how to improve). It’s meant to be a practical diagnostic for how modern teams are actually adopting AI at work. Give it shot!

Built an AI maturity assessment. It's designed to answer... • how AI-native your team really is • where the bottlenecks are • what good looks like • and what to do next We turned the AI transformation model into something practical you can actually use. Takes about 3 minutes. Chat with it and it gives back: • a detailed AI maturity assessment • strengths and gaps across your workflows • practical recommendations • a downloadable report you can share internally The goal wasn’t to make a gimmicky quiz (please give me direct feedback on how to improve). It’s meant to be a practical diagnostic for how modern teams are actually adopting AI at work. Give it shot!

Hurley

33,232 views • 3 months ago

Claude Tag has completely changed the way I do work for the last 4 months. Except… it's not Claude Tag. Anthropic only announced that a few hours ago, and I don't even have access yet. But I did build a version of it for myself which I've been using for months now. Here's how. 4 months ago, inspired by the success of OpenClaw, I wondered what would happen if I let Claude Code on its own computer 24x7. So I built a simple harness that allowed me to turn any Mac into an AI employee with Claude Code headless mode (-p). Today, I manage 3 such AI employees. It started with Luo Ji — my and my brother Piyush Agarwal's AI co-founder, running in our personal Slack. Luo does real work for us. We've been writing a 100% of the code for 3 products on Slack with Luo now. It manages our emails and gives us a little brief each day with things we need to take action on. And so much more. And it's not just the two of us. On the consulting team at Every 🪨, we run Claudie and for the editorial team, Andy. Same architecture, same Slack, months of real work. They help the teams with work related to project management, chief-of-staff work, data hygiene, building decks, writing first drafts, even browsing X on their own account for AI updates. So it's mindblowing to see that Anthropic landed on the exact same architecture I did. Claude Tag is an AI employee that lives in your Slack workspace and does work autonomously. Anthropic says they've been running it internally for the better part of this year — opening PRs, doing real work. And so have I. So has my whole team. The architectural decisions Anthropic baked into Claude Tag are the ones we arrived at too: - Built on Claude Code - Uses its own accounts - A separate employee per team - Slack as the interface This is the future of work, and I've been living it for months. I've shifted all of my workflows — code, PRs, even the non-technical stuff — out of Claude Code and the Claude app and into Slack. I've had entire weeks where I never opened Claude Code on my laptop. Here's a video walkthrough of how I've been using this in real life.

Claude Tag has completely changed the way I do work for the last 4 months. Except… it's not Claude Tag. Anthropic only announced that a few hours ago, and I don't even have access yet. But I did build a version of it for myself which I've been using for months now. Here's how. 4 months ago, inspired by the success of OpenClaw, I wondered what would happen if I let Claude Code on its own computer 24x7. So I built a simple harness that allowed me to turn any Mac into an AI employee with Claude Code headless mode (-p). Today, I manage 3 such AI employees. It started with Luo Ji — my and my brother Piyush Agarwal's AI co-founder, running in our personal Slack. Luo does real work for us. We've been writing a 100% of the code for 3 products on Slack with Luo now. It manages our emails and gives us a little brief each day with things we need to take action on. And so much more. And it's not just the two of us. On the consulting team at Every 🪨, we run Claudie and for the editorial team, Andy. Same architecture, same Slack, months of real work. They help the teams with work related to project management, chief-of-staff work, data hygiene, building decks, writing first drafts, even browsing X on their own account for AI updates. So it's mindblowing to see that Anthropic landed on the exact same architecture I did. Claude Tag is an AI employee that lives in your Slack workspace and does work autonomously. Anthropic says they've been running it internally for the better part of this year — opening PRs, doing real work. And so have I. So has my whole team. The architectural decisions Anthropic baked into Claude Tag are the ones we arrived at too: - Built on Claude Code - Uses its own accounts - A separate employee per team - Slack as the interface This is the future of work, and I've been living it for months. I've shifted all of my workflows — code, PRs, even the non-technical stuff — out of Claude Code and the Claude app and into Slack. I've had entire weeks where I never opened Claude Code on my laptop. Here's a video walkthrough of how I've been using this in real life.

Nityesh

36,790 views • 1 month ago

The biggest bottleneck in our creative team wasn't creativity. It was everything that happened before and after it. We're a creative team running campaigns for our clients, designers, copywriters, and account leads under one roof. Designers waited on copy. Copywriters waited on briefs. Client approvals sat in inboxes. Launch dates slipped because nobody had a complete picture of where every asset actually stood. We kept adding project boards, checklists, and meetings. The work stayed just as chaotic. Everything changed when we brought Viktor into Slack and gave him ownership of our Creative Operations workflow. He organized every incoming brief, routed work to the right people, tracked every asset through production, monitored client approvals, managed revision cycles, maintained our brand library, and packaged campaigns for launch before anyone had to ask where things stood. The pipeline kept moving because someone finally owned it from start to finish. Over one simulated month, Viktor coordinated 68 creative briefs, tracked 214 design assets, managed 96 copywriting tasks, processed 112 client approval requests, completed 73 revision cycles, organized 340 brand assets, identified 17 production bottlenecks before deadlines slipped, and prepared 29 campaign launch packages. What normally consumed around 146 hours of manual coordination became just 24 hours of human review. An 84% reduction in manual effort. The biggest difference wasn't that we produced more creative. It was that our creatives finally spent their time creating instead of coordinating. How much of your team's week goes to the work around the work, not the work itself? Tell me I'm wrong. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreativeOps #MarketingOps Paid Partnership

Kylie

105,162 views • 6 days ago