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90+ minutes down to 10-12 minutes A checklist remembers the work. It doesn’t do the work. Every new partner used to trigger 10–12 onboarding steps for us: Folder documents Tracker entry Reporting schedule Welcome email Questions We had everything documented. Still took us 90+ minutes every close. And once,...

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Sufyan Maan, M.Eng

31,242 subscribers

83,300 次观看 • 11 天前 •via X (Twitter)

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Checklists are where processes go to be remembered, not done. Mine had 10-12 steps for onboarding a new partner and still cost me 90+ minutes every close, plus one partner who slipped through anyway. I run a creator-led media business. A signed deal triggers invisible work: folder, kickoff doc, tracker entry (really important), reporting schedule, welcome email, intake questions. We built a beautiful checklist in Google Drive. 10-12 steps based on our first meeting. The checklist remembered everything. It did nothing. And the one time we rushed it, a new partner never made it into my tracker, so they never got their first report. Now when a deal closes, we send Viktor one message: run the new-partner setup from our onboarding checklist in Notion. Folder from template, kickoff doc, tracker entry, reporting schedule, welcome email drafted with intake questions, held for my approval. 10-12 minutes later it's done. We review just one email, then send. 90+ minutes of admin became one message. Nothing skipped since, because nothing depends on memory. By the way, writing down your processes was never the hard part. Running them every time, especially on your best days, is. Your checklist can't do that. An AI employee can. Tell me I'm wrong. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment.
1:05

Checklists are where processes go to be remembered, not done. Mine had 10-12 steps for onboarding a new partner and still cost me 90+ minutes every close, plus one partner who slipped through anyway. I run a creator-led media business. A signed deal triggers invisible work: folder, kickoff doc, tracker entry (really important), reporting schedule, welcome email, intake questions. We built a beautiful checklist in Google Drive. 10-12 steps based on our first meeting. The checklist remembered everything. It did nothing. And the one time we rushed it, a new partner never made it into my tracker, so they never got their first report. Now when a deal closes, we send Viktor one message: run the new-partner setup from our onboarding checklist in Notion. Folder from template, kickoff doc, tracker entry, reporting schedule, welcome email drafted with intake questions, held for my approval. 10-12 minutes later it's done. We review just one email, then send. 90+ minutes of admin became one message. Nothing skipped since, because nothing depends on memory. By the way, writing down your processes was never the hard part. Running them every time, especially on your best days, is. Your checklist can't do that. An AI employee can. Tell me I'm wrong. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment.

Sufyan Maan, M.Eng

41,983 次观看 • 1 个月前

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 次观看 • 1 个月前

One 12-page campaign brief became 3 distinct creator plans in about 2 minutes. Same campaign. Three different accounts. None of them could sound like a copy of the others. At first, I asked Viktor to summarize the brief. The summary was accurate, but it still left our team doing the difficult part: choosing separate angles, designing the demos, assigning responsibilities, checking the requirements, and making sure the posts did not overlap. So I changed the prompt and gave him the complete multi-creator rollout. Viktor created three separate campaign plans: One focused on creator operations. One focused on the creative workflow. One focused on team strategy and productivity. Each had its own hook, false start, screen-recording concept, story arc, captions, responsibilities, risks, and approval checklist. He mapped 42 requirements across the three placements, identified 14 missing details, and listed 9 actions that still needed human approval. Then I asked him to audit his own work. He caught a missing connection shot in one plan and raised the total risk count from 9 to 10 before we recorded anything. That part mattered more than getting a perfect answer on the first try. Content could see what needed to be written. Production had a shot list. Partnerships had the questions that needed clarification. Publishing had a checklist for everything that could block the posts. Viktor proposed the rollout. Our team still decides what gets approved and published. The result was three distinct creator campaigns planned from one 12-page brief in about 2 minutes. If an AI employee can plan the work and catch what he missed, where does assistance end and ownership begin? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOperations Paid Partnership
1:01

One 12-page campaign brief became 3 distinct creator plans in about 2 minutes. Same campaign. Three different accounts. None of them could sound like a copy of the others. At first, I asked Viktor to summarize the brief. The summary was accurate, but it still left our team doing the difficult part: choosing separate angles, designing the demos, assigning responsibilities, checking the requirements, and making sure the posts did not overlap. So I changed the prompt and gave him the complete multi-creator rollout. Viktor created three separate campaign plans: One focused on creator operations. One focused on the creative workflow. One focused on team strategy and productivity. Each had its own hook, false start, screen-recording concept, story arc, captions, responsibilities, risks, and approval checklist. He mapped 42 requirements across the three placements, identified 14 missing details, and listed 9 actions that still needed human approval. Then I asked him to audit his own work. He caught a missing connection shot in one plan and raised the total risk count from 9 to 10 before we recorded anything. That part mattered more than getting a perfect answer on the first try. Content could see what needed to be written. Production had a shot list. Partnerships had the questions that needed clarification. Publishing had a checklist for everything that could block the posts. Viktor proposed the rollout. Our team still decides what gets approved and published. The result was three distinct creator campaigns planned from one 12-page brief in about 2 minutes. If an AI employee can plan the work and catch what he missed, where does assistance end and ownership begin? Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOperations Paid Partnership

Kaitee

36,870 次观看 • 3 天前

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 次观看 • 9 天前

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 次观看 • 1 个月前

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
1:25

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

15,566 次观看 • 28 天前

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 次观看 • 1 个月前

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 次观看 • 1 个月前

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 次观看 • 1 个月前

A 22-YEAR-OLD FROM BEIJING BUILT A SECOND BRAIN WITH CLAUDE, MAKES $14,000/MONTH AND HIS AI REMEMBERS EVERY DECISION HE'S EVER MADE Most people open ChatGPT, ask a question and start from zero next session, re-explaining the same context every single time and losing 15–40 minutes per session doing it. He built infrastructure where Claude reads, writes and connects everything in Obsidian automatically so it never resets and compounds with every conversation. This morning he needed a client strategy from 3 months ago. Claude pulled it up instantly and drafted a full email reply in under 20 minutes using context it had been building for months across 6,000+ sessions. Every session adds to the last one and the system now saves him 2–3 hours every single day - 30–90 minutes from automated morning briefing alone, before he even opens his laptop. repo: The repo is free. The advantage it creates is not.
1:14

A 22-YEAR-OLD FROM BEIJING BUILT A SECOND BRAIN WITH CLAUDE, MAKES $14,000/MONTH AND HIS AI REMEMBERS EVERY DECISION HE'S EVER MADE Most people open ChatGPT, ask a question and start from zero next session, re-explaining the same context every single time and losing 15–40 minutes per session doing it. He built infrastructure where Claude reads, writes and connects everything in Obsidian automatically so it never resets and compounds with every conversation. This morning he needed a client strategy from 3 months ago. Claude pulled it up instantly and drafted a full email reply in under 20 minutes using context it had been building for months across 6,000+ sessions. Every session adds to the last one and the system now saves him 2–3 hours every single day - 30–90 minutes from automated morning briefing alone, before he even opens his laptop. repo: The repo is free. The advantage it creates is not.

Noisy

23,679 次观看 • 4 个月前

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 次观看 • 1 个月前

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 次观看 • 7 天前

an 18 year old made $1,000 in 47 minutes with GPT ASTRA 6 and a roofing company that had 4.9 stars and no website he didn't build anything. he copied 40 of their google reviews into ASTRA 6 and typed: "write the brief for the website this business deserves" 2 minutes later he had the full brief pasted it into the builder and waited. every page, every review, a booking button. live link in his hand before the coffee got cold then he called the owner and sent him the preview. the guy said yes on the phone. he'd been meaning to fix this for 3 years and never had a free afternoon invoice: $1,000. 47 minutes from the first google maps search to a closed deal then he stopped doing it by hand: → ASTRA 6 pulls 200 businesses off google maps in 10 minutes → writes a personalized email for each one from their real reviews, hours and photos → 500 emails a day. 3% reply → every reply runs through the same 47-minute pipeline month one: $4,000. month six: $15,000 to $20,000 ASTRA 6 has been out for a week. he's 18. and there are still 5 million businesses on google maps with great reviews and no website do the math on your own city
0:46

an 18 year old made $1,000 in 47 minutes with GPT ASTRA 6 and a roofing company that had 4.9 stars and no website he didn't build anything. he copied 40 of their google reviews into ASTRA 6 and typed: "write the brief for the website this business deserves" 2 minutes later he had the full brief pasted it into the builder and waited. every page, every review, a booking button. live link in his hand before the coffee got cold then he called the owner and sent him the preview. the guy said yes on the phone. he'd been meaning to fix this for 3 years and never had a free afternoon invoice: $1,000. 47 minutes from the first google maps search to a closed deal then he stopped doing it by hand: → ASTRA 6 pulls 200 businesses off google maps in 10 minutes → writes a personalized email for each one from their real reviews, hours and photos → 500 emails a day. 3% reply → every reply runs through the same 47-minute pipeline month one: $4,000. month six: $15,000 to $20,000 ASTRA 6 has been out for a week. he's 18. and there are still 5 million businesses on google maps with great reviews and no website do the math on your own city

Argona

250,509 次观看 • 6 天前

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
0:45

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 次观看 • 1 个月前

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 次观看 • 24 天前

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 次观看 • 2 个月前

CBS's Jericka Duncan took a deep breath before reading copy on the Alfonsi kerfuffle for the Evening News, that closed with: "We determined it needed additional reporting." JERICKA DUNCAN: Well, now to a story about CBS News. A few hours before last night's edition of 60 Minutes, viewers learned that a segment that had been promoted would not air. It's about a notorious prison in El Salvador. And the Trump administration's decision to send Venezuelans and others there who it says entered the U.S. illegally. The correspondent, 60 Minutes veteran Sharyn Alfonsi, sent an email to CBS News colleagues saying the story is factually correct, and accusing CBS News Editor-in-Chief Bari Weiss of pulling it for political reasons. Alfonsi says that despite requests for interviews, no one in the Trump administration would participate in the story. In an email, she wrote that, quote: "If the administration's refusal to participate becomes a valid reason to spike a story, we have effectively handed them a kill switch." In a statement, Weiss says in part, quote: "Holding stories that aren't ready for whatever reason, that they lacked sufficient context, say, or that they are missing critical voices, happens every day in every newsroom. I look forward to airing this important piece when it's ready." And CBS News released a statement saying the 60 Minutes report on “Inside CECOT” will air in a future broadcast. We determined it needed additional reporting.
1:28

CBS's Jericka Duncan took a deep breath before reading copy on the Alfonsi kerfuffle for the Evening News, that closed with: "We determined it needed additional reporting." JERICKA DUNCAN: Well, now to a story about CBS News. A few hours before last night's edition of 60 Minutes, viewers learned that a segment that had been promoted would not air. It's about a notorious prison in El Salvador. And the Trump administration's decision to send Venezuelans and others there who it says entered the U.S. illegally. The correspondent, 60 Minutes veteran Sharyn Alfonsi, sent an email to CBS News colleagues saying the story is factually correct, and accusing CBS News Editor-in-Chief Bari Weiss of pulling it for political reasons. Alfonsi says that despite requests for interviews, no one in the Trump administration would participate in the story. In an email, she wrote that, quote: "If the administration's refusal to participate becomes a valid reason to spike a story, we have effectively handed them a kill switch." In a statement, Weiss says in part, quote: "Holding stories that aren't ready for whatever reason, that they lacked sufficient context, say, or that they are missing critical voices, happens every day in every newsroom. I look forward to airing this important piece when it's ready." And CBS News released a statement saying the 60 Minutes report on “Inside CECOT” will air in a future broadcast. We determined it needed additional reporting.

Jorge Bonilla

408,678 次观看 • 8 个月前

There are 8 billion people on earth. Soon there'll be 100 billion AI agents. Every one of them needs email. Six weeks ago I said the next wave of teams would run email through an agent instead of a dashboard. Today it ships. Nitrosend☄️ is launching Agentic Email Marketing: the email layer for the agent economy. What agents can do on Nitrosend right now: Sign themselves up. Point any agent at and it creates the account, connects your domain, sorts billing and sends its first email. No API key. No dashboard. No human required. Shipped, and users agents signing up with it daily. Get their own inboxes (beta, by request). Real addresses on the domain you own. Your agents receive, and send 1-1 email conversations with customers. A reply lands at 3am, your agent answers it. Anything that needs a human gets escalated to you. Ask us and we'll flick yours on. Next: Agentic Outreach (coming soon). Your agent studies your best customers, finds more like them, writes like a person, sends in sequence and works the replies. Then: set a goal and walk away. Goal-based agentic marketing is in development. "20% more activations this quarter" and Nitrosend plans, sends, measures and improves every week. Why we built this: Gmail is agent hostile and expensive per seat. Legacy email platforms assume a human sitting in a dashboard. agents needed an email layer of their own. They're already better at it than we are. They read everything, never miss a follow-up, and write personally at any scale. *94%* of actions on Nitrosend already happen inside an agent (Claude, Codex, ChatGPT, Cursor), not in our UI. Humans approve. Agents operate. This is our third email company. Six billion emails across the first two. We've been burned by every ugly part of email already, which is why the approval gates are built in exactly where you want them. Watch the launch, then send your agent to work: send it.
1:13

There are 8 billion people on earth. Soon there'll be 100 billion AI agents. Every one of them needs email. Six weeks ago I said the next wave of teams would run email through an agent instead of a dashboard. Today it ships. Nitrosend☄️ is launching Agentic Email Marketing: the email layer for the agent economy. What agents can do on Nitrosend right now: Sign themselves up. Point any agent at and it creates the account, connects your domain, sorts billing and sends its first email. No API key. No dashboard. No human required. Shipped, and users agents signing up with it daily. Get their own inboxes (beta, by request). Real addresses on the domain you own. Your agents receive, and send 1-1 email conversations with customers. A reply lands at 3am, your agent answers it. Anything that needs a human gets escalated to you. Ask us and we'll flick yours on. Next: Agentic Outreach (coming soon). Your agent studies your best customers, finds more like them, writes like a person, sends in sequence and works the replies. Then: set a goal and walk away. Goal-based agentic marketing is in development. "20% more activations this quarter" and Nitrosend plans, sends, measures and improves every week. Why we built this: Gmail is agent hostile and expensive per seat. Legacy email platforms assume a human sitting in a dashboard. agents needed an email layer of their own. They're already better at it than we are. They read everything, never miss a follow-up, and write personally at any scale. *94%* of actions on Nitrosend already happen inside an agent (Claude, Codex, ChatGPT, Cursor), not in our UI. Humans approve. Agents operate. This is our third email company. Six billion emails across the first two. We've been burned by every ugly part of email already, which is why the approval gates are built in exactly where you want them. Watch the launch, then send your agent to work: send it.

George Hartley ☄️

935,588 次观看 • 1 个月前

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 次观看 • 1 个月前