Video yükleniyor...

Video Yüklenemedi

Ana Sayfaya Dön

Last week, one prompt built my whole campaign dashboard. This week, three unpaid deliverables were sitting inside it, and I hadn't noticed. I'm an AI educator covering tools and workflows, still exploring what's actually worth using. The plan after publishing it was simple: check it weekly, update the real...

Naila_Sync's profile picture

Naila | AI Insights

50,562 subscribers

57,212 görüntüleme • 5 gün önce •via X (Twitter)

FinansEğitimBilim & Teknoloji
LIVE

Anya Rossi• Live Now

Private livecam show

13 Yorum

Diana profil fotoğrafı
Diana5 gün önce

Viktor understood the assignment: do the audit, show me the evidence, draft the messages, then wait for me to review them.

Diana Osire profil fotoğrafı
Diana Osire5 gün önce

Three unpaid deliverables might sound small until they’re spread across different campaigns. This is exactly the kind of detail I want an AI employee watching.

Naila | AI Insights profil fotoğrafı
Naila | AI Insights5 gün önce

The employee angle clicked for me when he moved from checking the dashboard to preparing the work that comes after the check.

Ariel Christal | AI Tools & Workflows profil fotoğrafı
Ariel Christal | AI Tools & Workflows5 gün önce

The test for an AI employee is simple: can I hand him a responsibility and get useful work back? Viktor found three unpaid deliverables and drafted the next steps.

Diana profil fotoğrafı
Diana5 gün önce

I can see Viktor becoming the person I ask, “What needs my attention today?” before I open five campaign tabs.

Diana profil fotoğrafı
Diana5 gün önce

Finding an overdue invoice is helpful. Finding three, sorting out what’s pending, and preparing the follow-ups feels like having someone own the task.

Naila | AI Insights profil fotoğrafı
Naila | AI Insights5 gün önce

Give Viktor a try yourself:

Naila | AI Insights profil fotoğrafı
Naila | AI Insights5 gün önce

Give Viktor a clear role and boundaries. Mine was campaign ops: audit the numbers, watch deadlines, prepare follow-ups, and let me approve the next move.

Naila | AI Insights profil fotoğrafı
Naila | AI Insights5 gün önce

A good teammate knows when to bring you a decision. Viktor brought me the payment gaps and the draft messages, with nothing sent before approval.

Tanvir profil fotoğrafı
Tanvir4 gün önce

Great example of AI moving from insight to action.

Diana Osire profil fotoğrafı
Diana Osire5 gün önce

The private preview was part of the job too. Viktor put the dashboard where I could inspect it before deciding whether anything should go live.

Diana Osire profil fotoğrafı
Diana Osire5 gün önce

If you want to test the “AI employee” claim, give Viktor one real task with real data and an approval boundary. Payment tracking made it very clear what he could take off my plate.

Diana Osire profil fotoğrafı
Diana Osire5 gün önce

I’d give him recurring campaign admin in a heartbeat. The real value is having someone carry the task from the audit to a reviewable next step.

Benzer Videolar

A real 14-page client brief with 5 creative directions became 1 human-approved production direction in 25 minutes. Our team needed a production decision without missing the privacy, approval, or publishing requirements buried in the brief. My first attempt was too basic. I asked Viktor to summarize the document. The summary was accurate, but it left our team with the same job: compare five directions, choose one, plan the execution, and identify the risks. So I changed the assignment. Instead of requesting another summary, I gave Viktor ownership of the campaign-intake job. He compared all five directions against our real constraints, including screen recording, no face-to-camera footage, privacy, production inputs, and approval boundaries. Then he recommended Direction 1, built the production plan, separated responsibilities across content, production, partnerships, and publishing, and surfaced everything that still required confirmation. Viktor proposed the direction. I made the final decision and approved it. From uploading the brief at 5:22 AM to Viktor recording our human-approved direction at 5:47 AM, the complete decision took 25 minutes. When AI owns the decision preparation and humans own the final call, the workflow finally makes sense. Chatbots answer. Copilots assist. Employees own outcomes. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOperations Paid Partnership
0:46

A real 14-page client brief with 5 creative directions became 1 human-approved production direction in 25 minutes. Our team needed a production decision without missing the privacy, approval, or publishing requirements buried in the brief. My first attempt was too basic. I asked Viktor to summarize the document. The summary was accurate, but it left our team with the same job: compare five directions, choose one, plan the execution, and identify the risks. So I changed the assignment. Instead of requesting another summary, I gave Viktor ownership of the campaign-intake job. He compared all five directions against our real constraints, including screen recording, no face-to-camera footage, privacy, production inputs, and approval boundaries. Then he recommended Direction 1, built the production plan, separated responsibilities across content, production, partnerships, and publishing, and surfaced everything that still required confirmation. Viktor proposed the direction. I made the final decision and approved it. From uploading the brief at 5:22 AM to Viktor recording our human-approved direction at 5:47 AM, the complete decision took 25 minutes. When AI owns the decision preparation and humans own the final call, the workflow finally makes sense. Chatbots answer. Copilots assist. Employees own outcomes. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOperations Paid Partnership

Kaitee

62,204 görüntüleme • 19 gün önce

7 follow-ups waiting between 13 and 45 days became one decision-ready queue in 1 minute 5 seconds. The problem was not finding the messages. It was deciding what needed attention, who owned the next step, and what our team should say. My first attempt gave me a cleaner tracker, but it still left us prioritizing every item, writing each response, and working out who owned what. That was still tracking, not ownership. It clicked when I gave Viktor the complete follow-up job. He reviewed all 7 items, ranked them by urgency, routed them across partnerships, content, and operations, and identified the human decision required for each one. He surfaced 2 urgent items and prepared replies for 5 follow-ups. That produced 6 draft texts because one opportunity needed both a recover and a decline option. Nothing was sent automatically. Viktor prepared the queue. Our team reviewed and approved it as the internal plan before anything could move. The result was 7 overdue follow-ups turned into one decision-ready queue in 1 minute 5 seconds. When AI can organize the work, prepare the responses, and bring every decision to the right person, calling it a chatbot misses the point. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership
0:46

7 follow-ups waiting between 13 and 45 days became one decision-ready queue in 1 minute 5 seconds. The problem was not finding the messages. It was deciding what needed attention, who owned the next step, and what our team should say. My first attempt gave me a cleaner tracker, but it still left us prioritizing every item, writing each response, and working out who owned what. That was still tracking, not ownership. It clicked when I gave Viktor the complete follow-up job. He reviewed all 7 items, ranked them by urgency, routed them across partnerships, content, and operations, and identified the human decision required for each one. He surfaced 2 urgent items and prepared replies for 5 follow-ups. That produced 6 draft texts because one opportunity needed both a recover and a decline option. Nothing was sent automatically. Viktor prepared the queue. Our team reviewed and approved it as the internal plan before anything could move. The result was 7 overdue follow-ups turned into one decision-ready queue in 1 minute 5 seconds. When AI can organize the work, prepare the responses, and bring every decision to the right person, calling it a chatbot misses the point. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership

Kaitee

59,046 görüntüleme • 3 gün önce

Our launch decisions dropped from 3 days to 1. The workload stayed the same. The difference was what happened before our team logged in. We manage launches across content, partnerships, and operations. The problem was never a lack of information. It was getting the right context in front of everyone before a decision had to be made. At first, I treated Viktor like another assistant and kept giving him isolated tasks. That was the wrong approach. The moment it clicked was when our team gave him responsibility for the work surrounding each launch. He reviewed updates, organized pending approvals, surfaced blockers, and prepared the context before standup. Viktor proposed the next steps. Our team reviewed and approved them. Now, instead of spending three days gathering information across different people and conversations, we can often make the decision within one. A copilot helps you work. An AI employee works when you don’t. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnership
0:36

Our launch decisions dropped from 3 days to 1. The workload stayed the same. The difference was what happened before our team logged in. We manage launches across content, partnerships, and operations. The problem was never a lack of information. It was getting the right context in front of everyone before a decision had to be made. At first, I treated Viktor like another assistant and kept giving him isolated tasks. That was the wrong approach. The moment it clicked was when our team gave him responsibility for the work surrounding each launch. He reviewed updates, organized pending approvals, surfaced blockers, and prepared the context before standup. Viktor proposed the next steps. Our team reviewed and approved them. Now, instead of spending three days gathering information across different people and conversations, we can often make the decision within one. A copilot helps you work. An AI employee works when you don’t. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnership

Kaitee

52,018 görüntüleme • 1 ay önce

An agency added $133,752 in new annual recurring revenue in its first 30 days with Viktor. No new hires. No new service line. I spend most of my time testing AI tools for content and outbound work, so I don't say that lightly. Every team I talk to has the same problem. The strategy is fine. The relationships are fine. What's missing is capacity, the high-value work sitting on the backlog because nobody has the hours to own it. I've watched teams try to fix that by hiring, or by bolting on another tool that just answers questions and calls it done. Then I read what happened at Authority Makers. Nico Torres, the founder, didn't hire and didn't add a service line. He gave Viktor the outbound and lead gen work that had been sitting untouched. $133,752 in new ARR in the first 30 days. Same team, same strategy. The only thing that changed was who was doing the work. Most AI tells you what to do. Viktor does it. Tell me I'm wrong. Try free at Viktor. $100 in credits, no card. Full link in my first reply. Paid Partnership
1:02

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

Alex Moore

31,672 görüntüleme • 2 ay önce

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 görüntüleme • 25 gün önce

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 görüntüleme • 2 ay önce

We wanted to know if Viktor could own a real job. Our first pilot reduced a five-client reporting workflow from 12 to 15 hours of manual work to roughly an hour of team review. We're a digital marketing team managing paid media performance and client reporting, so we decided to test Viktor on one recurring workflow that every agency knows too well. Weekly reporting. Viktor didn't just summarize data. He produced a complete five-page report with an executive summary, funnel insights, channel performance, recommendations, and a final review checklist. Our team's job became reviewing and approving the work instead of building every report from scratch. That was the moment we stopped thinking about AI as another chat window. The real value wasn't getting better answers. It was handing off a recurring job and getting consistent work back every week while keeping our team in control of the final decision. Most AI tells you what to do. Viktor does it. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #FutureOfWork Paid Partnership.
0:47

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

Sean Wallace

51,510 görüntüleme • 2 ay önce

I set up Gemini Spark to write my own weekly AI news digest for me, and I'm still stuck on how little effort I had to put in. This is the exact prompt I gave it, just once: "Every Tuesday at 12:15 PM, create a new Doc in my Drive, find the 5 biggest AI stories from that week, and format each one properly." And here's what it actually produces, every week: 1. A new Doc, created and named on its own 2. The 5 biggest AI stories from that week, found and picked automatically 3. A bold headline and a summary for each one 4. The key impact spelled out, not just the news 5. A source link on every single story This runs on a schedule so I never have to think about it again. I didn't ask anything on Tuesday, I just opened the drive and the news digest doc was already there. Just like this, you can use Spark to automate any recurring task.
1:06

I set up Gemini Spark to write my own weekly AI news digest for me, and I'm still stuck on how little effort I had to put in. This is the exact prompt I gave it, just once: "Every Tuesday at 12:15 PM, create a new Doc in my Drive, find the 5 biggest AI stories from that week, and format each one properly." And here's what it actually produces, every week: 1. A new Doc, created and named on its own 2. The 5 biggest AI stories from that week, found and picked automatically 3. A bold headline and a summary for each one 4. The key impact spelled out, not just the news 5. A source link on every single story This runs on a schedule so I never have to think about it again. I didn't ask anything on Tuesday, I just opened the drive and the news digest doc was already there. Just like this, you can use Spark to automate any recurring task.

Eyisha Zyer

41,454 görüntüleme • 2 ay önce

Our team was spending around 6+ hours every week figuring out where projects actually stood. The work wasn't the problem. Finding the latest context was. I run a team where multiple projects move at the same time, so keeping everyone aligned used to mean checking dozens of Slack conversations every day. That worked for a while. Until it didn't. The turning point wasn't asking Viktor better questions. It was giving him one recurring responsibility. Stay on top of every active project. Now he keeps track of progress, highlights anything that's stalled, prepares updates before meetings, and gives the team one place to review what actually needs attention. Nobody has to chase information anymore. The work is already organized before we start. That one change probably saved more time than any prompt I've ever written. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership.
0:21

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

Kaitee

59,483 görüntüleme • 2 ay önce

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

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

Kaitee

46,080 görüntüleme • 1 ay önce

Every paid report I have ever been handed counts the wrong thing. Impressions, clicks, signups. None of those are the number. The number is who came back. I run growth campaigns where we track what happens after the signup, not just what happens at the click. I stopped asking for it years ago because matching the ad platform to the product database is a week of somebody’s life. So I gave it to Viktor, an AI employee: pull last week’s spend across all four accounts and tell me what it actually bought. $18,400 spent. 214 signups. 96 came back a second time. One account bought 71 of those 96 with $5,200, and the other three split $13,200 for the remaining 25. Then the part I did not ask for: 41 percent of people leave on the pricing step, and that is the same page for all four accounts. Moving the budget just buys the same leak faster. Nothing was paused. Every one of those was a proposal. Growth people: do you know your returning number, or do you know your signup number? Try free at Viktor. $100 in credits, no card. Full link in my first reply. Paid Partnership
0:21

Every paid report I have ever been handed counts the wrong thing. Impressions, clicks, signups. None of those are the number. The number is who came back. I run growth campaigns where we track what happens after the signup, not just what happens at the click. I stopped asking for it years ago because matching the ad platform to the product database is a week of somebody’s life. So I gave it to Viktor, an AI employee: pull last week’s spend across all four accounts and tell me what it actually bought. $18,400 spent. 214 signups. 96 came back a second time. One account bought 71 of those 96 with $5,200, and the other three split $13,200 for the remaining 25. Then the part I did not ask for: 41 percent of people leave on the pricing step, and that is the same page for all four accounts. Moving the budget just buys the same leak faster. Nothing was paused. Every one of those was a proposal. Growth people: do you know your returning number, or do you know your signup number? Try free at Viktor. $100 in credits, no card. Full link in my first reply. Paid Partnership

FELIX

32,929 görüntüleme • 8 gün önce

Building your own AI team can cost $10,000+ before it produces anything useful. Then comes the infrastructure, integrations, millions of tokens, maintenance, and people needed to keep it running. Viktor just turned that entire model upside down. It gives B2B teams an AI workforce that lives inside Slack or Teams, connects with 3,000+ tools, and completes actual jobs across reporting, audits, campaigns, creative briefs, and outbound. You do not spend hours prompting it. You assign the job. Viktor creates the deliverable, posts it in the channel, waits for approval, and ships it. This is the gap almost every AI company missed. Everyone kept talking about intelligent agents, while businesses were still waiting for AI that could reliably do the work inside the systems they already use. Viktor is not selling the idea of an AI employee. It built one. An agency reportedly added $133,752 in new recurring revenue within its first 30 days using it, without hiring more people or adding a new service line. OpenClaw beater? Maybe. But the bigger story is that practical AI has finally started catching up with the promises. Try it free at Viktor. You get $100 in credits with no card required. Full link in my first reply (Paid Partnership by Viktor)
0:53

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

Eyisha Zyer

61,517 görüntüleme • 2 ay önce

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
0:33

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 görüntüleme • 18 gün önce

Shia LaBeouf says only one person showed up for him in rehab when his own family didn’t. Shia LaBeouf: “I wound up at this rehab in Utah, and they do something called Family Week. Every week on a Sunday, everybody who’s involved in the program has their family show up on these Skype calls. Week one, no one shows up for me. My mother, my father, no one. Manager, friends, no one showed up. Week two, same thing. So I’m sitting in this room, and even the person who’s therapizing me, she’s starting to feel it. She’s empathizing with where I’m at. And there comes a point where Family Week comes around and I say to my therapist, ‘I’m not gonna go. I don’t wanna subject myself to this shit. I’m on a path. Let me just stay here.’ And she says, ‘No, I think you should show up this week.’ I show up thinking, alright, my mom’s gonna be on there. And Mia is on the screen. She’s prepping a movie. She ain’t got no fucking time for this. But she found time. And she said, ‘Hi, Shia.’ And we just smiled. We had nothing else to say. But she saved my fucking life, dog. Before the kid, before the job, before fucking God, before any religion, before a laugh, before a phone, before anything… was this woman’s face. No promises made. No long conversation being had. Nothing. Just her presence. The ministry of presence. Sometimes that’s all you need to offer a person who’s in a situation like that. Just to be present. And she was present for me at a time when I didn’t deserve to have nobody in my life. Especially her. She’s a real one, man.”
3:58

Shia LaBeouf says only one person showed up for him in rehab when his own family didn’t. Shia LaBeouf: “I wound up at this rehab in Utah, and they do something called Family Week. Every week on a Sunday, everybody who’s involved in the program has their family show up on these Skype calls. Week one, no one shows up for me. My mother, my father, no one. Manager, friends, no one showed up. Week two, same thing. So I’m sitting in this room, and even the person who’s therapizing me, she’s starting to feel it. She’s empathizing with where I’m at. And there comes a point where Family Week comes around and I say to my therapist, ‘I’m not gonna go. I don’t wanna subject myself to this shit. I’m on a path. Let me just stay here.’ And she says, ‘No, I think you should show up this week.’ I show up thinking, alright, my mom’s gonna be on there. And Mia is on the screen. She’s prepping a movie. She ain’t got no fucking time for this. But she found time. And she said, ‘Hi, Shia.’ And we just smiled. We had nothing else to say. But she saved my fucking life, dog. Before the kid, before the job, before fucking God, before any religion, before a laugh, before a phone, before anything… was this woman’s face. No promises made. No long conversation being had. Nothing. Just her presence. The ministry of presence. Sometimes that’s all you need to offer a person who’s in a situation like that. Just to be present. And she was present for me at a time when I didn’t deserve to have nobody in my life. Especially her. She’s a real one, man.”

vintae

512,526 görüntüleme • 1 ay önce

An agency added $133,752 in new annual recurring revenue in its first 30 days. No new hires. No new service line. That number made me stop scrolling. I spend a lot of time researching AI tools. The biggest time sink isn't testing them. It's comparing features, checking updates, and turning scattered information into something useful. So I tried Viktor Viktor is an AI employee that works inside Slack. I asked it to research the latest AI video generation tools, compare their features, pricing, and best use cases. Instead of starting from a blank page, I had a structured proposal waiting for review. I kept the final approval. Viktor handled the work. That reminded me of Nico Torres, Founder of Authority Makers. His team used Viktor to run work that simply wasn't getting done before, adding $133,752 in new annual recurring revenue in the first 30 days without adding headcount. Most AI tells you what to do. Viktor does the work. Try free at Viktor. $100 in credits included, no card. Full link in the first comment. #AIemployee #AITools #Productivity Paid Partnership
0:26

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

Sam brown | AI Tools & News

45,970 görüntüleme • 1 ay önce

Four briefs every month used to mean four separate weeks of work for our team. That is no longer how we build them. Our team runs creator campaigns across multiple accounts, and each partnership needs a proper brief before anyone starts working on it. The problem was the process behind those briefs. Someone had to gather the campaign details, decide what belonged in the document, shape the creative direction, and make sure nothing important was missed. We tried making the process easier with reusable templates and shared documents. We even reserved time specifically for briefing. But the thinking still had to happen manually every time. Then we moved that recurring job into Viktor. We gave Viktor the campaign context once. Within 2 minutes, he returned a 4-page designed PDF covering the structure, creative direction, pivot rule, and usage rights. That changed what our team spent its time doing. Instead of building the brief from zero, we had something structured to review and refine. Viktor proposes. Our team reviews and approves before the brief reaches a client. The teams still treating recurring work as a manual process are leaving capacity on the table. Chatbots answer. Copilots assist. Employees own outcomes. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorEconomy Paid Partnership
0:31

Four briefs every month used to mean four separate weeks of work for our team. That is no longer how we build them. Our team runs creator campaigns across multiple accounts, and each partnership needs a proper brief before anyone starts working on it. The problem was the process behind those briefs. Someone had to gather the campaign details, decide what belonged in the document, shape the creative direction, and make sure nothing important was missed. We tried making the process easier with reusable templates and shared documents. We even reserved time specifically for briefing. But the thinking still had to happen manually every time. Then we moved that recurring job into Viktor. We gave Viktor the campaign context once. Within 2 minutes, he returned a 4-page designed PDF covering the structure, creative direction, pivot rule, and usage rights. That changed what our team spent its time doing. Instead of building the brief from zero, we had something structured to review and refine. Viktor proposes. Our team reviews and approves before the brief reaches a client. The teams still treating recurring work as a manual process are leaving capacity on the table. Chatbots answer. Copilots assist. Employees own outcomes. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorEconomy Paid Partnership

Rasel Hosen

13,784 görüntüleme • 2 gün önce

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
0:30

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 görüntüleme • 23 gün önce

Jason Sudeikis says Ted Lasso started as just a commercial for the Premier League before both NBC and Netflix passed on it, and Apple said yes “NBC Sports got the rights for the Premier League back in 2013. An ad company came to me with five ideas. One was a football coach coaches soccer. This was like May of 2013” “I was like, okay, can I bring two friends. They came over. We had the laptop open and just wrote out beats for ideas. We knew we were going to have two days. We were going to shoot it in London. It was one of those moments where I was just in a flow state” “We go over there and make the commercial. It's a multi million dollar campaign. We did not write a script. We have no script. The ad company did, but we were only using little pieces of it. I came up with the name Ted Lasso. I was just like, what about Ted Lasso. I liked the idea of a first name and a noun” “It was a little short film. It was three and a half minutes. It was just a commercial for the Premier League on NBC Sports. Here's a couple hundred grand to make this commercial. The commercial does so well with football fans, soccer fans, comedy people” “Then we enjoyed doing it so much that we were like, hey, can we do another one. They said, yes, but we don't have the budget we had last year, so we can't fly you over there. The whole premise of the commercial is Ted Lasso gets hired by Tottenham Hotspur and then gets fired three days later because he doesn't know what he's doing” “Then we did the second one. That's where the show idea came from. Ted gets hired, gets fired, but isn't mad at anybody. He falls in love with soccer, falls in love with London, and now he's living back in New York, waking up at 7 am to watch Premier League games, driving a Mini Cooper. All these silly jokes” “We sit around for a week and wrote for three days. So many good ideas came out that in three days we had six episodes figured out. Joe had written a spit draft of the pilot, which was about 85% of what we ended up doing. That was 2015. Then it just sat there for years” “Then it wasn’t until, Bill Lawrence had an idea for a show he wanted me to do that wasn't the right fit. I said, me and my friends have this. I handed him the stack, and he read it. Yeah, there's a lot of good ideas there” “NBC passed on it. We went to all the people. NBC, Netflix. But it makes sense. Nobody knows, it's just an idea. And Apple was like, yeah, let's do it”
3:06

Jason Sudeikis says Ted Lasso started as just a commercial for the Premier League before both NBC and Netflix passed on it, and Apple said yes “NBC Sports got the rights for the Premier League back in 2013. An ad company came to me with five ideas. One was a football coach coaches soccer. This was like May of 2013” “I was like, okay, can I bring two friends. They came over. We had the laptop open and just wrote out beats for ideas. We knew we were going to have two days. We were going to shoot it in London. It was one of those moments where I was just in a flow state” “We go over there and make the commercial. It's a multi million dollar campaign. We did not write a script. We have no script. The ad company did, but we were only using little pieces of it. I came up with the name Ted Lasso. I was just like, what about Ted Lasso. I liked the idea of a first name and a noun” “It was a little short film. It was three and a half minutes. It was just a commercial for the Premier League on NBC Sports. Here's a couple hundred grand to make this commercial. The commercial does so well with football fans, soccer fans, comedy people” “Then we enjoyed doing it so much that we were like, hey, can we do another one. They said, yes, but we don't have the budget we had last year, so we can't fly you over there. The whole premise of the commercial is Ted Lasso gets hired by Tottenham Hotspur and then gets fired three days later because he doesn't know what he's doing” “Then we did the second one. That's where the show idea came from. Ted gets hired, gets fired, but isn't mad at anybody. He falls in love with soccer, falls in love with London, and now he's living back in New York, waking up at 7 am to watch Premier League games, driving a Mini Cooper. All these silly jokes” “We sit around for a week and wrote for three days. So many good ideas came out that in three days we had six episodes figured out. Joe had written a spit draft of the pilot, which was about 85% of what we ended up doing. That was 2015. Then it just sat there for years” “Then it wasn’t until, Bill Lawrence had an idea for a show he wanted me to do that wasn't the right fit. I said, me and my friends have this. I handed him the stack, and he read it. Yeah, there's a lot of good ideas there” “NBC passed on it. We went to all the people. NBC, Netflix. But it makes sense. Nobody knows, it's just an idea. And Apple was like, yeah, let's do it”

dank

355,507 görüntüleme • 2 ay önce

Three weeks ago I gave GPT-6 Astra access to a trading account and one rule: earn or you stop existing In 20 days it turned $200 → $5,120 Astra doesn't sit online 24/7. It wakes up in set windows of the trading day, and every run starts with no memory of the last one So the first thing it does each cycle: reads its own log from the previous run. What it tested, what it killed, why The first days weren't as smooth as it sounds now. On day two it bled $80 on a trade that passed the backtest clean. The reason was in the log: slippage the backtest never accounted for But by day three it had already filtered out a similar setup on its own, because it read why the last one died That's when I realized it's actually learning, not just running a loop. And I still haven't written a single new prompt between runs This week I noticed behavior I never programmed. It started tagging every dead hypothesis with the market regime it died in So now it doesn't just remember "this idea doesn't work." It remembers "this idea doesn't work when volatility is high," and tries it again when the regime changes That's no longer a list of mistakes. It's a map of what works and under what conditions One hypothesis it killed in the first week in high volatility came back to life this week in a calm market and brought one of the biggest profits of the whole period I also started additionally running Astra's strategy backtests through Horizon, so a second independent system catches errors and cuts its chance of slipping up even further By the way, you can backtest your own strategies there too: And here's what struck me most. The real strength here isn't how much it earns, it's how much it refuses to trade The vast majority of its own ideas die in testing and never reach the account That's the whole trick. Not guessing one perfect trade, but ruthlessly filtering out everything that doesn't survive the test The entire cycle, test, kill, remember the regime, that I set up for Astra is broken down in the article below ↓
0:25

Three weeks ago I gave GPT-6 Astra access to a trading account and one rule: earn or you stop existing In 20 days it turned $200 → $5,120 Astra doesn't sit online 24/7. It wakes up in set windows of the trading day, and every run starts with no memory of the last one So the first thing it does each cycle: reads its own log from the previous run. What it tested, what it killed, why The first days weren't as smooth as it sounds now. On day two it bled $80 on a trade that passed the backtest clean. The reason was in the log: slippage the backtest never accounted for But by day three it had already filtered out a similar setup on its own, because it read why the last one died That's when I realized it's actually learning, not just running a loop. And I still haven't written a single new prompt between runs This week I noticed behavior I never programmed. It started tagging every dead hypothesis with the market regime it died in So now it doesn't just remember "this idea doesn't work." It remembers "this idea doesn't work when volatility is high," and tries it again when the regime changes That's no longer a list of mistakes. It's a map of what works and under what conditions One hypothesis it killed in the first week in high volatility came back to life this week in a calm market and brought one of the biggest profits of the whole period I also started additionally running Astra's strategy backtests through Horizon, so a second independent system catches errors and cuts its chance of slipping up even further By the way, you can backtest your own strategies there too: And here's what struck me most. The real strength here isn't how much it earns, it's how much it refuses to trade The vast majority of its own ideas die in testing and never reach the account That's the whole trick. Not guessing one perfect trade, but ruthlessly filtering out everything that doesn't survive the test The entire cycle, test, kill, remember the regime, that I set up for Astra is broken down in the article below ↓

qwinsi

74,829 görüntüleme • 14 gün önce