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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.show more

Sufyan Maan, M.Eng

27,530 subscribers

41,983 次观看 • 2 个月前 •via X (Twitter)

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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, we missed the tracker entry completely. The partner never got their first report. Now when a deal closes, we send Viktor one message: “Run the new-partner onboarding checklist.” He creates the folder, kickoff doc, tracker entry, reporting schedule, and drafts the welcome email + intake questions. Then he holds the email for my final approval. 10–12 minutes later, ready to go We review one email and send. 90+ minutes → one message. Writing down a process is easy. Running it correctly every single time is the hard part. Your checklist can’t do that. An AI employee can. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. Paid Partnership

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, we missed the tracker entry completely. The partner never got their first report. Now when a deal closes, we send Viktor one message: “Run the new-partner onboarding checklist.” He creates the folder, kickoff doc, tracker entry, reporting schedule, and drafts the welcome email + intake questions. Then he holds the email for my final approval. 10–12 minutes later, ready to go We review one email and send. 90+ minutes → one message. Writing down a process is easy. Running it correctly every single time is the hard part. Your checklist can’t do that. An AI employee can. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. Paid Partnership

Sufyan Maan, M.Eng

83,300 次观看 • 27 天前

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.

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 • 2 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

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 • 18 天前

4 campaign briefs a month used to eat 4 weeks of team time. The same team now ships them in an afternoon. We run influencer marketing and content partnerships across multiple creator accounts. Every new campaign starts with a brief. Target audience, content pillars, deliverables, timeline, success metrics, usage rights, FTC disclosures. We tried templates. We tried shared Google Docs. We tried scheduling a dedicated brief day every Monday. None of it stuck because the brief still needed someone to think through it from scratch every single time. So we gave that job to Viktor. One prompt. He came back with a 6-page designed PDF in 3 minutes. Real sections, opinionated creative direction, a pivot rule built in, usage rights included. We did not ask for most of that. He just knew what a brief needs. Viktor proposes the document. We review and approve before it goes to any client. 4 briefs a month. Each one used to cost us a week of team time. Now none of them do. The teams still doing this manually are not disciplined. They just have not hired yet. 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 #CreatorEconomy Paid Partnership

4 campaign briefs a month used to eat 4 weeks of team time. The same team now ships them in an afternoon. We run influencer marketing and content partnerships across multiple creator accounts. Every new campaign starts with a brief. Target audience, content pillars, deliverables, timeline, success metrics, usage rights, FTC disclosures. We tried templates. We tried shared Google Docs. We tried scheduling a dedicated brief day every Monday. None of it stuck because the brief still needed someone to think through it from scratch every single time. So we gave that job to Viktor. One prompt. He came back with a 6-page designed PDF in 3 minutes. Real sections, opinionated creative direction, a pivot rule built in, usage rights included. We did not ask for most of that. He just knew what a brief needs. Viktor proposes the document. We review and approve before it goes to any client. 4 briefs a month. Each one used to cost us a week of team time. Now none of them do. The teams still doing this manually are not disciplined. They just have not hired yet. 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 #CreatorEconomy Paid Partnership

Nawi

141,317 次观看 • 11 天前

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

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

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15,566 次观看 • 1 个月前

We Do $100 Million on Email Marketing With No Employees “Before, we had an email marketing team. Now we have zero. Everything is done through AI. We were forced into it. Our team was down to two people, and when the person leading it was leaving, my co-founder Alexandra jumped in to see how she could use AI to make it work. Within three days, she built multiple bots that now run all our email marketing. So now we have a team of zero, and email marketing makes close to $100 million.” Matteo Franceschetti What does no one see about the future of email marketing that everyone should see Tyler Denk 🐝 Jonathan Martinez Chase Dimond | Email Marketing Nerd 📧 Matt Schlicht

We Do $100 Million on Email Marketing With No Employees “Before, we had an email marketing team. Now we have zero. Everything is done through AI. We were forced into it. Our team was down to two people, and when the person leading it was leaving, my co-founder Alexandra jumped in to see how she could use AI to make it work. Within three days, she built multiple bots that now run all our email marketing. So now we have a team of zero, and email marketing makes close to $100 million.” Matteo Franceschetti What does no one see about the future of email marketing that everyone should see Tyler Denk 🐝 Jonathan Martinez Chase Dimond | Email Marketing Nerd 📧 Matt Schlicht

Harry Stebbings

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

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

Kaitee

59,483 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

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

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

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 • 1 个月前

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

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 • 24 天前

18-year-old American found a roofing company on Google Maps with 4.9 stars and no website, copied their reviews and pasted them into ChatGPT 5.5. 2 minutes later - a complete brief. Pasted it into AI and just waited while the system built a full website with all pages, reviews and a booking button. Called the owner and showed him the live preview. He said yes immediately because he'd been meaning to fix this for years and never had the time. Invoice for $1,000. 47 minutes of work from the first search to a closed deal. Then he built a machine. AI pulls 200 businesses from Google Maps in 10 minutes, writes a personalized email for each one with their real business data - 500 emails a day, 3% respond. Month one - $4,000, month six - $15,000-20,000. Five million businesses on Google Maps are still waiting for that call.

18-year-old American found a roofing company on Google Maps with 4.9 stars and no website, copied their reviews and pasted them into ChatGPT 5.5. 2 minutes later - a complete brief. Pasted it into AI and just waited while the system built a full website with all pages, reviews and a booking button. Called the owner and showed him the live preview. He said yes immediately because he'd been meaning to fix this for years and never had the time. Invoice for $1,000. 47 minutes of work from the first search to a closed deal. Then he built a machine. AI pulls 200 businesses from Google Maps in 10 minutes, writes a personalized email for each one with their real business data - 500 emails a day, 3% respond. Month one - $4,000, month six - $15,000-20,000. Five million businesses on Google Maps are still waiting for that call.

Rahul

7,556,115 次观看 • 4 个月前

I run growth for a small B2B team, so most of my week is finding the right accounts and getting in front of them. I originally thought this would be a quick list-building task. My first prompt was too vague, though. Viktor didn't have enough context about our business, so the first pass couldn't give me a useful buyer list. I gave him the real business context and ran it again. This time, he researched 10 potential buyers, ranked the top 3, built a prospect brief, and wrote 3 ready-to-send outreach messages. The useful part wasn't just the research. He also surfaced the buying signals, risks, and the specific action our team should take next. So instead of spending time researching companies, checking fit, and writing outreach from scratch, our team got the first pass done in one workflow. That's what I mean by an AI employee. Not someone giving you another answer. Someone you can give a real job to and let him take ownership of the work. 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. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AITeams Paid Partnership

I run growth for a small B2B team, so most of my week is finding the right accounts and getting in front of them. I originally thought this would be a quick list-building task. My first prompt was too vague, though. Viktor didn't have enough context about our business, so the first pass couldn't give me a useful buyer list. I gave him the real business context and ran it again. This time, he researched 10 potential buyers, ranked the top 3, built a prospect brief, and wrote 3 ready-to-send outreach messages. The useful part wasn't just the research. He also surfaced the buying signals, risks, and the specific action our team should take next. So instead of spending time researching companies, checking fit, and writing outreach from scratch, our team got the first pass done in one workflow. That's what I mean by an AI employee. Not someone giving you another answer. Someone you can give a real job to and let him take ownership of the work. 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. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AITeams Paid Partnership

Marry Evan

30,072 次观看 • 16 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

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 • 2 个月前

If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

If I had to start from zero tomorrow and bring in new customers fast, here's exactly what I'd build. Top to bottom. I'd start with the ad. Open ChatGPT or Claude, paste in what you sell and who you sell it to, ask it to write you ten different hooks for a Meta ad. Pick the best three. Then jump into or one of the AI video tools and have it generate the visual. Thirty minutes, you've got a real ad ready to run. You run that ad to one landing page. Not your homepage. One page, one offer, one call to action. Headline that stops the scroll, a few lines of value, an email or phone field, a button. That's it. Build it in HighLevel in about twenty minutes, drag, drop, you're done. The second someone enters their email, they drop into your CRM, automatically tagged with where they came from. Now the part most people skip, the follow-up. The moment that form is filled, a sequence kicks off automatically. Email and SMS, spaced over five to seven days. First message thanks them and delivers what you promised. Then a story. Then social proof. Then an objection you know they have. Then the offer. They don't have to think about you. You're showing up in their inbox and their texts at exactly the right time. The last message has a calendar link or a buy button right inside it. They tap, they book, or they buy. Done. The whole flow runs on its own from the ad all the way to the sale. You build it once. It works while you're sleeping. AI does the creative work. The system runs the customer journey. You spend your time on strategy. That's the play.

Neil Patel

39,323 次观看 • 2 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

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 • 2 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.

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 ☄️

938,598 次观看 • 2 个月前

7 ways to become THE go-to AI consultant in your city: (even if you have zero audience and zero capital) 1) Door-knock local businesses. One guy knocked 30 doors and signed 2 clients in a week. 99.9% of people won't do it. That's the arbitrage. 2) LinkedIn outreach, done locally. Target owners with 10 to 50 employees, never pitch in message one. 20 DMs a day is a paying client in 3 weeks or less. 3) Free audits for your warm network. Text 10 owners you know, 6 reply, 1 to 3 book. My first 3 clients came this way. 4) Partner with CPAs, agencies, and consultants. Give them 10% of every deal. A sales team you pay nothing unless they send leads. 5) AI office hours at a coworking space. My friend did 3 in a month. His last one: 20 people, one closed deal, multiple more in the pipeline. 6) Post your wins on social. A win is as small as a screenshot of you answering an AI question. 3 to 5 posts a week for 90 days. 7) Host an AI for Business meetup. Mine took 90 minutes, cost $100, and produced 7 leads and a paying client within a week. One more very important point: You don't need to be an expert, but you do need to be credible. Local owners will pay the first credible person who shows up with a plan. Two things that make this work: 1) Face to face beats cold everything. Shake their hand and you win by default. 2) Every method feeds the same ladder. Free mini assessment, $1,000 to $2,000 paid assessment, then consulting at $1,000 an hour. Full breakdown below.

7 ways to become THE go-to AI consultant in your city: (even if you have zero audience and zero capital) 1) Door-knock local businesses. One guy knocked 30 doors and signed 2 clients in a week. 99.9% of people won't do it. That's the arbitrage. 2) LinkedIn outreach, done locally. Target owners with 10 to 50 employees, never pitch in message one. 20 DMs a day is a paying client in 3 weeks or less. 3) Free audits for your warm network. Text 10 owners you know, 6 reply, 1 to 3 book. My first 3 clients came this way. 4) Partner with CPAs, agencies, and consultants. Give them 10% of every deal. A sales team you pay nothing unless they send leads. 5) AI office hours at a coworking space. My friend did 3 in a month. His last one: 20 people, one closed deal, multiple more in the pipeline. 6) Post your wins on social. A win is as small as a screenshot of you answering an AI question. 3 to 5 posts a week for 90 days. 7) Host an AI for Business meetup. Mine took 90 minutes, cost $100, and produced 7 leads and a paying client within a week. One more very important point: You don't need to be an expert, but you do need to be credible. Local owners will pay the first credible person who shows up with a plan. Two things that make this work: 1) Face to face beats cold everything. Shake their hand and you win by default. 2) Every method feeds the same ladder. Free mini assessment, $1,000 to $2,000 paid assessment, then consulting at $1,000 an hour. Full breakdown below.

Corey Ganim

60,405 次观看 • 1 个月前

I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!

I'm making $8,000 a month building Claude skills for other people's businesses. I call it the AI Concierge. I have 5 clients paying $1,200 to $2,000 a month each. My effective rate is about $1,200 an hour. Every engagement runs on one framework I call AOA: Audit, Optimize, Automate. Here's the entire model: 1) Most people skip straight to Automate. That's the fun part. It's also how you end up automating a broken process. 2) Audit first. The client shares their screen and walks the process in painful detail while I take notes in a Google Doc and interrupt with a million questions. 3) Capture the plumbing, not just the steps. Who owns each step, which tool it runs in, where the data lives, and whether that tool can connect to Claude. 4) Hand the audit doc to Claude and ask it to find a better way. Then push back. Claude's first synopsis is usually partly wrong, and the client catches it. 5) Cut the fat. Most processes are 15 steps and only need to be 11. Most clients use 3 tools where 2 would do. 6) One home per fact. One client stored customer data in ClickUp and the CRM. We killed the ClickUp copy. Duplicates are just human error waiting to happen. 7) Have Claude write the build plan. It splits the process into skills, scaffolds each one, and lists next steps. Then you lock the doc. 8) A skill is a markdown file plus reference files. A reference file is just an example of what good looks like. Claude builds all of it. 9) Build one skill at a time from the build plan. If the audit was done right, Claude one shots it. Test on a real run, let Claude interview you, iterate. Version 2 is usually the keeper. 10) Draft first, never auto send. A speed to lead skill drafts replies for review on day one. It earns auto send later. Two things that make this work: 1) Audit and Optimize are 80% of the work. Automate is the 20%. You have to earn the right to build. 2) Skills do one thing well. Split at every point a human or a wait interrupts the chain, then let an orchestrator run them back to back. Full step-by-step playbook for starting a profitable AI Concierge business (free): Full breakdown below. Enjoy!

Corey Ganim

68,713 次观看 • 11 天前

I built a Reddit marketing agent that gets your business mentioned by ChatGPT, Gemini and Claude. Not a spam bot. Not the kind that gets banned by mods. An agent that drafts genuinely valuable answers grounded in your company's actual content and slips in a brand mention only when it actually helps. Google is paying Reddit $60M a year just for their data!!! If your business isn't showing up in that data, your competitors are, and ChatGPT is recommending them instead of you. Here's how the system works: → A Claude routine pulls the target subreddit's JSON endpoint every hour for new posts → A Phase 1 checklist filters every post — is it answerable from our wiki, factual, on-brand, mod-safe? → The answer engine queries an LLM Wiki built from our blog, guides, and help center (Firecrawl ingested every page into a raw → wiki → index structure) → Claude drafts a casual, value-first answer that grounds every claim in our content → Every draft lands in Slack for human-in-the-loop review before it posts — no fire-and-forget, no bans I built this in a week for CoinLedger, the crypto tax software I've been running for 8 years. 10% of our new signups already say they found us through ChatGPT. This system is how we push that number a lot higher. If you want the exact Claude skill I built: Like & Comment "AGENT" (must be following so I can dm you) I'll send it over for free.

David Roberts

36,553 次观看 • 4 个月前

I'm making over $1,000 an hour with one AI offer. The entire thing runs on Claude Opus 4.8. I call it the AI Concierge. Clients pay me $1,500+ a month for two 45-minute calls where we build their AI systems live, on their screen. I have 4 clients. I'm capping at 6. Here's the entire model: 1) The intake form is the audit. A 10-minute JotForm (built by Claude) surfaces their time sinks and hands me 1-3 AI opportunities before call one. 2) Done-with-you, not done-for-you. They share their screen. We build skills, set up Cowork, and write context files together. They learn to drive. (Done-for-you is the upsell.) 3) Every session runs through AOA: Audit, Optimize, Automate. Fix the process first, then turn it into a skill. Automating chaos just gives you faster chaos. 4) Day one has to move the needle. We ship at least one skill or automation on call one. No first-call win, dead engagement. 5) Unlimited Voxer between calls. They send a voice message, I reply in under 12 business hours. A 24/7 partner, not a guy they see twice a month. 6) The Notion hub is the renewal mechanism. Every call logs a quantified list of what we built. "Call one: 2 skills, 3 context files, Cowork live" makes $1.5K a month a no-brainer. 7) I never fill Notion out by hand. Two Claude skills log the call, pull the action items, and draft the recap email. 30 seconds. 8) Pricing ladder: $1,000/month, then $1,500 at 2 clients, then $1,800. At $1,500 you're already at $1,000/hour. If everyone says yes then you're priced too low. Two things that make this work: 1) Build the fulfillment infrastructure once. An afternoon. Then it runs itself outside the calls. 2) The value must be visible. People renew what they can measure. Full breakdown below. Go watch.

I'm making over $1,000 an hour with one AI offer. The entire thing runs on Claude Opus 4.8. I call it the AI Concierge. Clients pay me $1,500+ a month for two 45-minute calls where we build their AI systems live, on their screen. I have 4 clients. I'm capping at 6. Here's the entire model: 1) The intake form is the audit. A 10-minute JotForm (built by Claude) surfaces their time sinks and hands me 1-3 AI opportunities before call one. 2) Done-with-you, not done-for-you. They share their screen. We build skills, set up Cowork, and write context files together. They learn to drive. (Done-for-you is the upsell.) 3) Every session runs through AOA: Audit, Optimize, Automate. Fix the process first, then turn it into a skill. Automating chaos just gives you faster chaos. 4) Day one has to move the needle. We ship at least one skill or automation on call one. No first-call win, dead engagement. 5) Unlimited Voxer between calls. They send a voice message, I reply in under 12 business hours. A 24/7 partner, not a guy they see twice a month. 6) The Notion hub is the renewal mechanism. Every call logs a quantified list of what we built. "Call one: 2 skills, 3 context files, Cowork live" makes $1.5K a month a no-brainer. 7) I never fill Notion out by hand. Two Claude skills log the call, pull the action items, and draft the recap email. 30 seconds. 8) Pricing ladder: $1,000/month, then $1,500 at 2 clients, then $1,800. At $1,500 you're already at $1,000/hour. If everyone says yes then you're priced too low. Two things that make this work: 1) Build the fulfillment infrastructure once. An afternoon. Then it runs itself outside the calls. 2) The value must be visible. People renew what they can measure. Full breakdown below. Go watch.

Corey Ganim

104,819 次观看 • 3 个月前