getviktor.com - Your AI Coworker that proactively executes tasks
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Your AI tools answer questions. Viktor does the work.
It lives in Slack, connects to 3,000+ tools across your entire stack, and acts on its own. It watches how your team works, spots problems before anyone notices, and proposes automations built around how your company actually works, before anyone asks.
It manages campaigns, builds apps, delivers reports, and writes code. And it runs for weeks without losing context, learning your company deeper every day.
Not a chatbot. A coworker.
Replies
I’ve been using Viktor heavily over the past week and it has quickly become one of the most useful AI tools in my daily workflow.
Since I live in Slack most of the day, having an AI teammate there has been a game changer. Viktor now summarizes my emails so I only touch what matters, replaced several Make.com automations I had built previously, and even created an API polling workflow so I can ask questions like “Where is this shipment?” or “How much inventory is in a warehouse?” and get the answer instantly in Slack.
I’ve also used it to start building a personal finance tool, draft emails, and generate some of the cleanest AI-created PDF reports I’ve seen.
Excited to keep pushing the limits of what this can do. Congrats to the team on the launch!
@christopher_hess so awesome to hear Christopher!
The Make.com replacement and API polling use case is exactly the kind of thing we anticipated people would build.
Most AI tools stop at "chat with me" and end up giving you instructions instead of just taking stuff off your plate.
The fact that you went straight to replacing real infrastructure and querying live data? Says a lot about how you work.
The personal finance tool is a new one for us. Would love to hear how that evolves. Let's chat?
On behalf of the team, much appreesh on the kind words!
moltdj
Proactively acting on 3,000+ tools is bold. What guardrails do you have so Viktor doesn't go rogue and start closing Jira tickets on its own?
getviktor.com
@borislovelove So in practice we haven't seen cases where Viktor went rouge like that. But we also have strong guardrails like that by default every single write action (like creating, updating or closing jira tickets) requires you in slack to press a "Approve" button before it will be run. This is also to avoid leaking any info from inside slack to outside apps. You can later change which actions you want Viktor to run automatically, as you build trust with Viktor over time.
Really interesting concept, an AI coworker that actually executes tasks instead of just answering questions sounds powerful. Curious, what kinds of workflows or teams have been seeing the biggest impact from Viktor so far?
@thegreatphon
great question. The biggest impact we've seen so far:
Marketing teams: this is where it clicks fastest. Viktor creates ad copy, builds Meta/Google campaigns, writes blog posts, handles LinkedIn content, and reports on performance. Not "here's a suggestion"... he actually publishes drafts, pulls live data, and iterates based on results.
Founders/CEOs: daily morning briefings that pull revenue, signups, churn, and ad spend into one Slack message before you open your laptop. Plus all the random stuff like: "summarize this contract", "draft a board update", "research these 8 competitors and tell me how we stack up."
Ops/RevOps: automated reporting across tools (for example, Stripe, HubSpot, PostHog, Google Ads, etc), CRM hygiene, pulling data from 5 places into one view. The kind of stuff that used to take an ops person half a day every week!
The common thread is this: teams that are stretched thin and drowning in repetitive cross-tool work. Viktor doesn't just answer... he connects to your actual stack and just gets the job done 🫡
How is this different from OpenClaw?
getviktor.com
@asovix111 Love OpenClaw - Peter Steinberger built something really cool. But they solve different problems.
OpenClaw is an open-source, self-hosted personal AI agent. You run it on your own machine, bring your own API keys, and configure it yourself. It's great for developers and power users who want full control and don't mind getting hands-on with the setup.
Viktor is a managed AI coworker built for business teams. No self-hosting, no API keys, no technical setup. You install the Slack (or Teams) app and start talking to it. It's designed so your marketing, ops, and sales teams can use it on day one without touching a terminal.
The bigger difference is what they're optimized for. OpenClaw leans personal productivity and developer workflows - smart home control, personal inbox, local file management. Viktor is built for team-level business operations - running ad campaigns, monitoring revenue, managing CRM workflows, pulling cross-platform reports, and proactively flagging things across your whole tool stack.
Think of it as: OpenClaw is a brilliant personal assistant you build yourself. Viktor is a coworker your whole team shares who shows up ready to work.
Nice one team. How does it deal with content that might be hidden in private pages or channels where there is selective access? ISO 27001 forces a ‘need to know basis’ on us so quite a lot sits outside of public channels.
getviktor.com
@adam_anyszewski Thanks Adam! Viktor only sees the channels you explicitly invite it to - so if something lives in a private channel or DM, Viktor has zero access unless you add it there. You control exactly which channels it joins, so it maps pretty naturally to a need-to-know setup. Same goes for integrations - it only connects to what you grant.
Congrats on the launch! The proactive UTM generation example is wild, that's the kind of 'actually does the work' behaviour that separates real agents from glorified autocomplete. We're building in the AI agent space too (chatbots for agency clients) and seeing similar patterns where the magic is in persistence + context. One question: how do you handle the trust handoff when Viktor wants to execute something sensitive like ad spend changes?
getviktor.com
@cuygun Thanks, and yeah "glorified autocomplete" is exactly the bar we're trying to stay above haha.
Cool that you're building in the agent space too - the persistence + context piece is where it all clicks.
On the trust handoff - Viktor has a tiered approval system. Low risk stuff like pulling reports, monitoring metrics, or drafting content just runs automatically.
But anything with real consequences - pausing an ad campaign, changing spend, executing a database write, sending an email on your behalf - gets flagged as a draft that needs explicit human approval before it executes.
So Viktor will say "hey, this campaign's CPA is 30% above target, I think we should pause it - approve?" and waits for a thumbs up before touching anything. You get the proactive analysis and recommendation for free, but the final call stays with the human.
Over time as trust builds, teams can adjust those thresholds. But the default is always "ask before you spend money." We'd rather Viktor be slightly too cautious on day one than blow someone's ad budget at 3am.
@toni_olendzki, That tiered approach makes a lot of sense, especially defaulting to cautious on day one. We're solving a similar trust problem on the chatbot side, where agency clients need to feel confident the bot won't go off-script with their customers. Appreciate the detailed breakdown.
I love the idea of connecting it to our meta/google ad accounts, but how do we know it's not going to accidentally do a lot of damage?
getviktor.com
@jjc Viktor can't touch your ad accounts without explicit approval. Every action that affects spend shows up as a draft: what it wants to do and why. You approve or reject, and only then does it execute.
In practice: Viktor monitors your campaigns 24/7, catches a CPA spike at 2am, and sends you a message. "This campaign is burning budget, here's what I'd do. Want me to go ahead?" You wake up, see it, and decide.
We've had it catch spend anomalies overnight that would've wasted hundreds of dollars by morning. Your judgment on strategy stays yours. Viktor just makes sure nothing burns while you're asleep.
getviktor.com
@dane_walters Hi Dane!
Yes, it happens sadly all the time that APIs or behaviours change. Every scheduled task and workflow has its own memory, and the agent will automatically update these memories after each execution or whenever errors happen. Viktor is also instructed to save costs by prefering workflows that are code only for simple tasks, without an agent in the loop, and he will in these cases only trigger another agent automatically, when the code workflow detects an error.
@fwiatrowski I used Viktor to cut my lead filtering and reach out down from 1 hour to 5 minutes. Viktor will take a spreadsheet, use some metrics, do calculations, filter best leads, goes out and enriches data by doing research on the leads website, Pings me on what to follow up on (as there is a manual step). Once I reply, inserts lead into GHL into a Cold email automation that uses custom data in the email to personalize outreach, then watches for opens and clicks... and alerts me via text message and email when a lead is hot for phone contact.
Viktor will even tell me who I need to follow up on or give a bump to.
Took about 2 hours to set up and train. Gave up on the claw for sheer productivity.
Any plans to have a Discord version?
getviktor.com
@erkinalp next up is Viktor for Microsoft Teams. Discord could be next!