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I’ve been testing Viktor this week, and what stood out to me wasn’t just what it can do .... it’s how little you have to manage it. Most AI tools still require you to guide every step. Viktor feels different. It works more like a real teammate than another...

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LX™

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70,786 görüntüleme • 3 gün önce •via X (Twitter)

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Eve Waithera profil fotoğrafı
Eve Waithera3 gün önce

@viktor_com The teammate angle really stands out

🥹🌻 profil fotoğrafı
🥹🌻3 gün önce

@viktor_com Context plus execution is a powerful combination

Branice profil fotoğrafı
Branice3 gün önce

@viktor_com The “delegate, don’t prompt” approach is smart

Millaray Cee profil fotoğrafı
Millaray Cee3 gün önce

@viktor_com Context awareness makes a huge difference

Kj profil fotoğrafı
Kj3 gün önce

@viktor_com AI that actually takes ownership is a game changer

. profil fotoğrafı
.3 gün önce

@viktor_com Imagine delegating tasks and just checking results

Senior© profil fotoğrafı
Senior©3 gün önce

@viktor_com This could save teams a lot of time

CHANAI profil fotoğrafı
CHANAI3 gün önce

@viktor_com Less repetitive work is always welcome

Rutoz💜Dota profil fotoğrafı
Rutoz💜Dota3 gün önce

@viktor_com This is the kind of AI teams need

Millabel Adhiambo profil fotoğrafı
Millabel Adhiambo3 gün önce

@viktor_com Less micromanaging, more getting things done

🖤Its_Linnet❤️Lin💜 profil fotoğrafı
🖤Its_Linnet❤️Lin💜3 gün önce

@viktor_com Viktor seems built for real workflows

Mm💥 profil fotoğrafı
Mm💥3 gün önce

@viktor_com Delegation is where AI gets really interesting

caroline profil fotoğrafı
caroline3 gün önce

@viktor_com This sounds more like a teammate than a chatbot

Glorious profil fotoğrafı
Glorious3 gün önce

@viktor_com This could make Slack workflows much smoother

Julian C profil fotoğrafı
Julian C3 gün önce

@viktor_com Curious if it ever surprises you with ideas.

Benzer Videolar

15 AI tools researched, ranked, and turned into X-ready content in ~2 minutes. I gave Viktor one job: Find the best new AI tools for our audience, research them, rank the top 3, and turn the research into X-ready content. In about 2 minutes, Viktor ran 24 targeted searches, researched 15 tools, cross-checked pricing, scored the options, built the comparison, and produced the final post. My first attempt didn't work. The workflow stalled before Viktor could connect the research and content steps. Then I adjusted the task, and that's when things clicked. What surprised me wasn't that he could research. It was how much of the workflow he could actually handle. Research. Compare. Prioritize. Create. Instead of jumping between tabs, collecting information, comparing tools, and turning research into content manually, Viktor handled the workflow in one place. That's the part I think people miss about AI employees. The value isn't another chatbot that gives you an answer. It's having an AI teammate that can take on real work and fit into the way your team already operates. Viktor works inside Slack and Microsoft Teams and connects to 3,200+ tools. A copilot helps you work. An AI employee works when you don't. I think this is where AI employees get genuinely interesting: the question isn't whether they can answer you, but whether you can trust them with actual work. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AITeams Paid Partnership
0:30

15 AI tools researched, ranked, and turned into X-ready content in ~2 minutes. I gave Viktor one job: Find the best new AI tools for our audience, research them, rank the top 3, and turn the research into X-ready content. In about 2 minutes, Viktor ran 24 targeted searches, researched 15 tools, cross-checked pricing, scored the options, built the comparison, and produced the final post. My first attempt didn't work. The workflow stalled before Viktor could connect the research and content steps. Then I adjusted the task, and that's when things clicked. What surprised me wasn't that he could research. It was how much of the workflow he could actually handle. Research. Compare. Prioritize. Create. Instead of jumping between tabs, collecting information, comparing tools, and turning research into content manually, Viktor handled the workflow in one place. That's the part I think people miss about AI employees. The value isn't another chatbot that gives you an answer. It's having an AI teammate that can take on real work and fit into the way your team already operates. Viktor works inside Slack and Microsoft Teams and connects to 3,200+ tools. A copilot helps you work. An AI employee works when you don't. I think this is where AI employees get genuinely interesting: the question isn't whether they can answer you, but whether you can trust them with actual work. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AITeams Paid Partnership

Marry Evan

29,941 görüntüleme • 7 gün önce

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
0:26

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

45,970 görüntüleme • 1 ay önce

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
1:02

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 görüntüleme • 1 ay önce

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.
0:47

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 görüntüleme • 1 ay önce

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)
0:53

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 görüntüleme • 1 ay önce

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.
1:21

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

691,628 görüntüleme • 2 ay önce

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
0:24

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 görüntüleme • 1 ay önce

We increased the number of client projects our team could comfortably manage without adding another person. The bottleneck turned out to be coordination, not headcount. I work with a team that's constantly juggling campaigns, client work, and internal reviews across Slack. At first, I kept Viktor away from anything important. I thought he'd be useful for internal tasks, but I wasn't ready to trust him with live work. That turned out to be the wrong approach. Once we started giving him recurring responsibilities, everything changed. Now he prepares weekly reports, keeps track of outstanding work, surfaces issues before they become problems, and gets everything ready for review. The team stays in control. Every decision still goes through us. But we spend far less time organizing work and a lot more time moving it forward. That's when I realized we hadn't added another AI tool. We'd added capacity. Seats are for tools. Employees are priced on output. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyLife Paid Partnership.
0:34

We increased the number of client projects our team could comfortably manage without adding another person. The bottleneck turned out to be coordination, not headcount. I work with a team that's constantly juggling campaigns, client work, and internal reviews across Slack. At first, I kept Viktor away from anything important. I thought he'd be useful for internal tasks, but I wasn't ready to trust him with live work. That turned out to be the wrong approach. Once we started giving him recurring responsibilities, everything changed. Now he prepares weekly reports, keeps track of outstanding work, surfaces issues before they become problems, and gets everything ready for review. The team stays in control. Every decision still goes through us. But we spend far less time organizing work and a lot more time moving it forward. That's when I realized we hadn't added another AI tool. We'd added capacity. Seats are for tools. Employees are priced on output. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyLife Paid Partnership.

Kaitee

57,401 görüntüleme • 1 ay önce

Our launch decisions dropped from 3 days to 1. The workload stayed the same. The difference was what happened before our team logged in. We manage launches across content, partnerships, and operations. The problem was never a lack of information. It was getting the right context in front of everyone before a decision had to be made. At first, I treated Viktor like another assistant and kept giving him isolated tasks. That was the wrong approach. The moment it clicked was when our team gave him responsibility for the work surrounding each launch. He reviewed updates, organized pending approvals, surfaced blockers, and prepared the context before standup. Viktor proposed the next steps. Our team reviewed and approved them. Now, instead of spending three days gathering information across different people and conversations, we can often make the decision within one. 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 #FutureOfWork Paid Partnership
0:36

Our launch decisions dropped from 3 days to 1. The workload stayed the same. The difference was what happened before our team logged in. We manage launches across content, partnerships, and operations. The problem was never a lack of information. It was getting the right context in front of everyone before a decision had to be made. At first, I treated Viktor like another assistant and kept giving him isolated tasks. That was the wrong approach. The moment it clicked was when our team gave him responsibility for the work surrounding each launch. He reviewed updates, organized pending approvals, surfaced blockers, and prepared the context before standup. Viktor proposed the next steps. Our team reviewed and approved them. Now, instead of spending three days gathering information across different people and conversations, we can often make the decision within one. 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 #FutureOfWork Paid Partnership

Kaitee

52,018 görüntüleme • 24 gün önce

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.
0:21

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 görüntüleme • 1 ay önce

Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”
3:13

Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”

Jawwwn

695,479 görüntüleme • 7 ay önce

Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.
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Imagine a computer where you don’t need to learn 10 apps to get work done. You just tell it what you want, and it adapts to how you work. I tested Happycapy with a real use case and created an image and a video. No coding, no complex software. Do this: - Build automations that run on schedule - Deploy agent teams that work for you AI molds how you work, not the other way around. If you can use a computer, you can make anything happen. Start your first Automation and Agent teams today.

Aaliya

17,042 görüntüleme • 7 ay önce

Introducing Toggle for OpenClaw🦞 For the first time ever your Agent can see everything you do on the web. This is real-time context on your work day. Toggle AI analyses all browser actions, clicks, work, meetings and documents -> into AI context of what Projects / Tasks / Tools you are working on. Check it out👇
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Introducing Toggle for OpenClaw🦞 For the first time ever your Agent can see everything you do on the web. This is real-time context on your work day. Toggle AI analyses all browser actions, clicks, work, meetings and documents -> into AI context of what Projects / Tasks / Tools you are working on. Check it out👇

PeLpA

52,419 görüntüleme • 6 ay önce

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
0:58

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 görüntüleme • 1 ay önce

I’m usually skeptical of “AI workspace” products, but Bloome has a few ideas I actually like: You can put humans + multiple agents in the same conversation. One agent can draft something, another can poke holes in it, and another can clean up the final version. You can also bring in different agents/models like Claude, ChatGPT, DeepSeek, etc. instead of constantly bouncing between tabs. And because the whole conversation stays in context, teammates can join later and still understand how the work got to the final output. It also works across web, desktop, and mobile, though if you’re using it for real work, I’d especially recommend trying the desktop app. Feels closer to how real teams actually work.
0:44

I’m usually skeptical of “AI workspace” products, but Bloome has a few ideas I actually like: You can put humans + multiple agents in the same conversation. One agent can draft something, another can poke holes in it, and another can clean up the final version. You can also bring in different agents/models like Claude, ChatGPT, DeepSeek, etc. instead of constantly bouncing between tabs. And because the whole conversation stays in context, teammates can join later and still understand how the work got to the final output. It also works across web, desktop, and mobile, though if you’re using it for real work, I’d especially recommend trying the desktop app. Feels closer to how real teams actually work.

AI Breakfast

78,285 görüntüleme • 1 ay önce

so much of work is what I like to call the “work around work” - switching between systems, chasing context, and stitching tools together to get things done company knowledge in chatgpt now does this for you it can reason across tools like slack, sharepoint, google drive, github, and more to get answers, do analysis, and take action using a version of gpt-5 that’s optimized for working with tools & providing citations company knowledge has changed how i use chatgpt at work more than anything we have built so far - let us know what you think!
0:37

so much of work is what I like to call the “work around work” - switching between systems, chasing context, and stitching tools together to get things done company knowledge in chatgpt now does this for you it can reason across tools like slack, sharepoint, google drive, github, and more to get answers, do analysis, and take action using a version of gpt-5 that’s optimized for working with tools & providing citations company knowledge has changed how i use chatgpt at work more than anything we have built so far - let us know what you think!

Brad Lightcap

315,830 görüntüleme • 10 ay önce

Nearly 3 hours of campaign planning recovered from one client brief. Viktor turned 7 pages into a complete execution plan in roughly 3 minutes. My first attempt did not work. I asked him to summarize the brief. The summary was accurate, but our team still had to turn it into deadlines, responsibilities, approvals, and next actions ourselves. That was the wrong way to delegate the work. So I changed the assignment and gave Viktor ownership of the complete campaign intake process. I uploaded a real client brief with every identifying detail permanently removed and asked him to prepare the work across partnerships, content, demo development, production, compliance, publishing, and reporting. He organized 29 deliverable and operational items, built the production timeline, separated responsibilities across 7 team functions, identified 14 information gaps, flagged 12 contradictions and risks, and prepared the approval queue. Partnerships can see what needs clarification. Content can see exactly what must be written. Production can see what needs to be recorded. Review can see every claim and restriction. Publishing can see every date, approval, disclosure, and reporting requirement. Viktor proposed the plan. Our team reviewed and approved it. That reduced around 3 hours of manual planning to roughly 3 minutes, with our team still controlling every external action. If an AI can turn a client brief into work the whole team can execute, is it still just helping? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOperations Paid Partnership
1:05

Nearly 3 hours of campaign planning recovered from one client brief. Viktor turned 7 pages into a complete execution plan in roughly 3 minutes. My first attempt did not work. I asked him to summarize the brief. The summary was accurate, but our team still had to turn it into deadlines, responsibilities, approvals, and next actions ourselves. That was the wrong way to delegate the work. So I changed the assignment and gave Viktor ownership of the complete campaign intake process. I uploaded a real client brief with every identifying detail permanently removed and asked him to prepare the work across partnerships, content, demo development, production, compliance, publishing, and reporting. He organized 29 deliverable and operational items, built the production timeline, separated responsibilities across 7 team functions, identified 14 information gaps, flagged 12 contradictions and risks, and prepared the approval queue. Partnerships can see what needs clarification. Content can see exactly what must be written. Production can see what needs to be recorded. Review can see every claim and restriction. Publishing can see every date, approval, disclosure, and reporting requirement. Viktor proposed the plan. Our team reviewed and approved it. That reduced around 3 hours of manual planning to roughly 3 minutes, with our team still controlling every external action. If an AI can turn a client brief into work the whole team can execute, is it still just helping? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOperations Paid Partnership

Kaitee

46,080 görüntüleme • 9 gün önce

Today, the future of IT support 𝘴𝘱𝘦𝘢𝘬𝘴 for itself! We’ve just launched Atomicwork’s Universal Agent, now available right from your browser with built-in Voice, Vision, Chat and Work AI capabilities! This isn’t just another update; it’s a revolutionary leap toward contextual, intelligent, real-time support. Atom understands what’s on your screen, listens to what you need, and guides you through tasks step by step. For years, IT support has meant navigating portals, raising tickets, and just waiting for help. @ Atom, the Universal Agent, changes that. It works where you work—in your browser, inside business apps you use at work like Salesforce or Jira to offer proactive and intuitive support with zero context-switching. 🗣️ Talks to you in natural language using Voice AI - Whether it’s fixing an access issue or fetching a sales report, just say it. Atom listens, responds, and walks you through the next-best actions in real time. 👁️ Sees what you can see using Vision AI – Finding it tough to explain what’s broken? Atom sees your screen, understands the issue you're facing and steps in to guide you. 💻 Works where you work using Work AI. The browser extension ensures that it’s available wherever you are and get help in whatever mode you prefer. This launch is just the beginning of a smarter, more seamless way to support employees and service teams alike. Support now can truly be accessed from anywhere, anytime! 💪 We can't wait for you to try out our Universal Agent for your varied enterprise support use cases 🚀 Sign up now to see it in action 🔗 🎦 Watch our team, Denin Siby, Bhavya Vats, Arkajit Datta, and Aishwarya 👾 Hariharan, take you through the core capabilities of the Universal Agent: . . . Vijay Rayapati Parsuram Vijayasankar Aparna Chugh Denin Siby Arkajit Datta
1:02

Today, the future of IT support 𝘴𝘱𝘦𝘢𝘬𝘴 for itself! We’ve just launched Atomicwork’s Universal Agent, now available right from your browser with built-in Voice, Vision, Chat and Work AI capabilities! This isn’t just another update; it’s a revolutionary leap toward contextual, intelligent, real-time support. Atom understands what’s on your screen, listens to what you need, and guides you through tasks step by step. For years, IT support has meant navigating portals, raising tickets, and just waiting for help. @ Atom, the Universal Agent, changes that. It works where you work—in your browser, inside business apps you use at work like Salesforce or Jira to offer proactive and intuitive support with zero context-switching. 🗣️ Talks to you in natural language using Voice AI - Whether it’s fixing an access issue or fetching a sales report, just say it. Atom listens, responds, and walks you through the next-best actions in real time. 👁️ Sees what you can see using Vision AI – Finding it tough to explain what’s broken? Atom sees your screen, understands the issue you're facing and steps in to guide you. 💻 Works where you work using Work AI. The browser extension ensures that it’s available wherever you are and get help in whatever mode you prefer. This launch is just the beginning of a smarter, more seamless way to support employees and service teams alike. Support now can truly be accessed from anywhere, anytime! 💪 We can't wait for you to try out our Universal Agent for your varied enterprise support use cases 🚀 Sign up now to see it in action 🔗 🎦 Watch our team, Denin Siby, Bhavya Vats, Arkajit Datta, and Aishwarya 👾 Hariharan, take you through the core capabilities of the Universal Agent: . . . Vijay Rayapati Parsuram Vijayasankar Aparna Chugh Denin Siby Arkajit Datta

Atomicwork

15,053 görüntüleme • 1 yıl önce

Most AI agents live in a chat window. Helio lets them join your company. I added an AI teammate to GitHub like a real engineer. Not a chatbot. Not a copilot. Not a prompt-waiting tool. A teammate with its own identity, permissions, and role in the workflow—that’s Helio’s AI-Native Workforce. It can join channels, collaborate with other AI teammates, understand context, execute tasks, and report back. Helio isn’t building a better assistant. It’s redefining AI: not software you use, but a teammate you work with. Tools help you do work. Teammates move work forward. #Helio #AIWorkforce #AITeammate
0:23

Most AI agents live in a chat window. Helio lets them join your company. I added an AI teammate to GitHub like a real engineer. Not a chatbot. Not a copilot. Not a prompt-waiting tool. A teammate with its own identity, permissions, and role in the workflow—that’s Helio’s AI-Native Workforce. It can join channels, collaborate with other AI teammates, understand context, execute tasks, and report back. Helio isn’t building a better assistant. It’s redefining AI: not software you use, but a teammate you work with. Tools help you do work. Teammates move work forward. #Helio #AIWorkforce #AITeammate

Your Tech Girl

14,290 görüntüleme • 3 ay önce

Just watched a demo of Merge Agent Handler and this actually looks pretty useful if you’re building AI agents. Most agents can generate responses, but getting them to actually take actions across real tools is still messy. Integrations are one thing, but handling auth, permissions, and security usually makes it way more complicated than it should be. What I liked is that it feels built for real workflows — you can actually see what your agent is doing instead of just hoping it works. Feels like a practical layer between AI agents and real work getting done. Worth checking out:
0:35

Just watched a demo of Merge Agent Handler and this actually looks pretty useful if you’re building AI agents. Most agents can generate responses, but getting them to actually take actions across real tools is still messy. Integrations are one thing, but handling auth, permissions, and security usually makes it way more complicated than it should be. What I liked is that it feels built for real workflows — you can actually see what your agent is doing instead of just hoping it works. Feels like a practical layer between AI agents and real work getting done. Worth checking out:

Kawsar

31,812 görüntüleme • 6 ay önce