Kaitee
@KaiteeShiks • 61,277 subscribers
Obsessed with how AI can actually grow a business, not just provide hype. I help founders and creators scale using digital strategy and better tools.
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In about 16 minutes, I had a campaign handoff showing what could start and what still needed approval. Viktor took the readiness review from an anonymized brief to a production plan I could check. I gave our AI employee one job in Slack: work out what we could start, which decisions needed my input and what needed client clarification. He organised the requirements, referenced the source sections and proposed the next steps. The first pass needed feedback. His table was incomplete, and he treated the platforms listed in the brief as confirmed scope. I asked him to correct both and qualify his readiness assessment. He returned a complete 27-entry checklist and a revised handoff. Requirements, optional steps and decisions needing approval were separated. That gave me a concrete basis for deciding the next production steps, with the unresolved scope clearly marked. I still checked his work. He proposed the plan. I kept approval. Nothing was sent, scheduled or published. For campaign work, that’s a useful responsibility to hand over: review the brief, bring back a practical plan and revise it against feedback. You can hire Viktor for your team, free to start. #AIemployee #CreatorOps Paid Partnership
Kaitee37,117 views • 4 days ago
The useful part wasn’t the first supplier search. It was running the next one without starting over. I used BrowserAct to collect Alibaba tote bag listings with supplier names, advertised prices, minimum orders and source links. Then I changed “cotton” to “canvas” and ran the same Bot again. I built and reused it without writing code. That repeat run used 16 credits in my test. Credit use varies by task. I’d use this to build a shortlist, then confirm pricing directly with suppliers. I can also schedule this Bot to rerun and receive a summary of each successful run in my inbox. Try it with research you repeat: #BrowserAct #DataExtraction #WebScraping
Kaitee32,492 views • 5 days ago
6 creator placements became one execution-ready launch queue in 1 minute 4 seconds. They all had to publish inside the same 40-minute window. Each creator needed unique copy, the correct source post, an exact publishing time, a paid-partnership disclosure check, and human approval. My first attempt was a simple chronological schedule. It showed who should post and when, but our team still had to check every dependency, prepare for delays, and make sure one late placement did not disrupt the rest. That was scheduling, not ownership. So I gave Viktor the complete launch-coordination job. He prepared all 6 placements, matched 3 creators to each source post, added 6 copy checks, 6 disclosure checks, and 6 human-approval checkpoints. Every placement was spaced 8 minutes apart. He also prepared a recovery plan for late source posts, failed final checks, and delays that could push the launch beyond its 40-minute window. Nothing was published or scheduled automatically. Viktor prepared the execution queue. Our team approved the internal plan, while every individual post remained pending human approval. The result was capacity to coordinate 6 distinct creators from one command center, prepared in 1 minute 4 seconds. When AI can coordinate timing, dependencies, compliance, and recovery across six creators, calling it a calendar assistant misses the job. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #CreatorOperations Paid Partnership
Kaitee41,746 views • 13 days ago
I used Website Builder in Teamily AI (Teamily AI) to build a creator partnership page, and fittingly, it was a partnership too: my agent team plus a collaborator I pulled into the group. That's what I like about Teamily: it's a Humans + Agents platform, so more than one person works with the agents, on the same context. Agent A wrote the copy deck, and the Webpage Developer built the page from it. Then I changed the offer halfway through: monthly partnerships instead of one-off posts. The headline, offer section and contact CTA all followed the new direction, and my collaborator reviewed it in Studio. That was the useful part for me: seeing the change reach the finished page, with people and agents building on each other's work the whole way. You can view it here #ad
Kaitee50,970 views • 18 days ago
3 completed campaigns worth $375 became one decision-ready finance handoff in 25 seconds. The sponsored posts were already live. The part slowing us down was everything between publication and payment. My first attempt gave me a clean payment summary. It showed the combined value and where each campaign stood, but our team still had to identify every blocker, decide what came next, and prepare the work for finance follow-up. That was reporting, not ownership. So I gave Viktor the complete post-to-payment handoff. He reviewed all 3 campaigns, verified 3 completed sponsored posts, found 5 missing requirements, and separated the exact next action for each one. The result was honest: 0 campaigns were finance-ready and all 3 were blocked. But instead of leaving $375 scattered across unfinished admin work, Viktor turned it into one ordered queue with 3 clear human decisions. Nothing was submitted or sent automatically. Viktor prepared the handoff. Our team reviewed and approved the internal plan before anything could move. In 25 seconds, we knew exactly what was blocking $375 and what had to happen next. When AI can carry completed work into a human-approved finance queue, calling it an assistant undersells the job. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership
Kaitee54,854 views • 21 days ago
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
Kaitee59,350 views • 27 days ago
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
Kaitee62,204 views • 1 month ago
I gave WorkBuddy one prompt: build a campaign dashboard I could actually use. It planned the app, created CreatorFlow, ran it locally, and tested it on my computer. The result is a working system for campaigns, approvals, deliverables, and payments. Built with Hy4 Preview.
Kaitee57,125 views • 2 months ago
Seedance 2.5 is already available in CapCut. Now Seedance 2.5 1080p is live too. I can already see this being useful for product content. One product image can become multiple angles, different environments and different shot sizes. Then instead of exporting everything and starting another editing workflow somewhere else, I can keep working in CapCut PC. Extend the scene with AI Extend, fix the awkward detail with AI Edit, and use Edit Pilot when there’s a pile of edits. 1080p gets you closer to the final look. The rest of the workflow gets you to the final video. #CapCutPC #AIVideoEditor #CapCutSeedance25 #Seedance251080p
Kaitee67,213 views • 2 months ago
Seedance 2.5 is already available on CapCut, and Seedance 2.5 1080p is now live. But once AI starts generating more footage, manual editing becomes the next bottleneck. I’d batch-create assets with AI Image, turn them into different scenes with AI Video, then bring everything directly into the CapCut PC timeline. That’s where Edit Pilot comes in. Instead of repeating the same editing steps clip by clip, I can describe the changes I want and use conversational editing to handle repetitive modifications across selected footage. AI Edit handles local refinements, AI Extend gives scenes more time, and the multi-track timeline finishes captions, voiceover, color and export. More AI generation needs a smarter post-production workflow. #CapCutPC #AIVideoEditor #CapCutSeedance25 #Seedance251080p
Kaitee60,970 views • 2 months ago
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
Kaitee46,080 views • 1 month ago
I ran one of my own React dashboards through Replay before treating it as ready to ship. It looked fine to me. Replay QA found a notifications button that looked completely functional but did nothing when clicked, accessibility issues across the UI, and a workflow where completing a task failed to update the activity feed. Those are exactly the little things that are easy to miss when you're focused on building. With Replay for Teams, this kind of QA can also run around your team's GitHub workflow and surface debugging context as you ship. The app can look finished in the editor. What matters is what actually happens in the browser. Replay for Teams is launching today. Check it out on Product Hunt:
Kaitee57,558 views • 2 months ago
We increased the number of client projects our team could comfortably manage without adding another person. The bottleneck turned out to be coordination, not headcount. I work with a team that's constantly juggling campaigns, client work, and internal reviews across Slack. At first, I kept Viktor away from anything important. I thought he'd be useful for internal tasks, but I wasn't ready to trust him with live work. That turned out to be the wrong approach. Once we started giving him recurring responsibilities, everything changed. Now he prepares weekly reports, keeps track of outstanding work, surfaces issues before they become problems, and gets everything ready for review. The team stays in control. Every decision still goes through us. But we spend far less time organizing work and a lot more time moving it forward. That's when I realized we hadn't added another AI tool. We'd added capacity. Seats are for tools. Employees are priced on output. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #AgencyLife Paid Partnership.
Kaitee57,401 views • 2 months ago
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
Kaitee52,018 views • 2 months ago
Our team was spending around 6+ hours every week figuring out where projects actually stood. The work wasn't the problem. Finding the latest context was. I run a team where multiple projects move at the same time, so keeping everyone aligned used to mean checking dozens of Slack conversations every day. That worked for a while. Until it didn't. The turning point wasn't asking Viktor better questions. It was giving him one recurring responsibility. Stay on top of every active project. Now he keeps track of progress, highlights anything that's stalled, prepares updates before meetings, and gives the team one place to review what actually needs attention. Nobody has to chase information anymore. The work is already organized before we start. That one change probably saved more time than any prompt I've ever written. A copilot helps you work. An AI employee works when you don't. Hire Viktor for your team. $100 in credits included, no card. Full link in first comment. #AIemployee #Operations Paid Partnership.
Kaitee59,483 views • 2 months ago
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
Kaitee36,870 views • 1 month ago
My AI app looked ready to ship. Replay QA proved otherwise. Before launching, I connected the GitHub repo to Replay QA, let it run through the app like a real user, and within a few minutes it surfaced issues I would've never noticed by manually clicking around. What I liked most wasn't just finding bugs. It showed exactly what happened in the browser, explained the likely root cause, and gave enough context to fix the issue without guessing. Instead of running a one-time check, I connected the repo so Replay QA can keep testing every time I push changes or open a PR. No Playwright setup. No complicated pipeline configuration. Just a practical QA gate before users ever find the problems. If you're building with Cursor, Claude Code, Codex, Lovable, Bolt, Replit, or any AI coding workflow, this is worth adding before your next launch. Replay
Kaitee64,294 views • 3 months ago
Virality isn’t 1,000 people opening the same link. It’s 1,000 people making their own version. My friend needed a simple way to track small wins. One sentence into Eazo AI → 6 directions → one working app → live on the Feed. People don’t just like it. They can use it, change it, and publish their own version. Videos spread through sounds. Memes spread through templates. Playable content spreads through remix. The next post is an app. 🧵
Kaitee48,953 views • 2 months ago