Viktor

When you first add Viktor to Slack or Teams, within an hour or so, he introduces himself. Not with a generic "Hi I'm your AI assistant, how can I help?"... he came in having actually read the channel, understood the work we do, and laid out specific things he could take on, including how he'd approach each one.

My first aha moment was in our video production workflow channel.

He noticed we were about to publish a YouTube video and offered to take over the entire YouTube publish prep including formatting our description, timestamp, etc.

While this sounds like a simple task, we have an entire process around how we structure our descriptions with UTM tracking on all of our links with different formatting for affiliate vs website links.

It's a task I'd been meaning to delegate for over a year and never had because it just felt dreadful to hand off, especially to a human where the room for error was high and costly.

Of course, I'd considered delegating it to Claude or ChatGPT before, but even that seemed like a chore.

I gave Viktor a pretty lazy answer, telling him to go check our previous YouTube video formatting. I didn't even include example links. And if I'm honest, I expected him to fail.

But Viktor didn't need anymore instructions, he just told me what he needed to get the work done.

He told me to give him the video (or transcript) and he'd handle the rest.

I genuinely expected maybe 60% to be usable. But Viktor came back with something that was 90% right.

"ARE YOU KIDDING ME?" was my first thought. Then it was "F*** YES" because this means I'll never have to explain this task to a human ever 😅

The timestamps were more accurate than when I was doing them myself. There were a few formatting preferences I wanted to change to the UTM structure he created, and we went back and forth 4-5 times, but it didn't feel dreadful. It felt like he was keeping up without me explaining context.

Viktor already knew what UTMs were, you're not starting from zero. You're just filling him in on your specific processes, which is a completely different kind of conversation. He saved the rules and moved on. He even caught a link formatting error we'd had for a long time that nobody had flagged.

And more than that, Alex (CEO) was in that thread too, and he was able to jump in mid-convo and issue a few corrections too.

And that's when another thing clicked...Viktor is the first time we've been able to truly collaborate with AI as a team, not just each of us in our own private threads on our own devices.

Most AI tools wait for you to come to them, or if they're proactive their recommendations are not that useful, or even a distraction in some cases. But Viktor is different.

Viktor requires no training, no adding documents to a knowledge base, no multi-page prompts...(can you tell I'm fatigued by prompting AI tools? lol).

Within an hour of joining your Slack or Teams workspace, Viktor reads your channels and comes to you with specific suggestions for what he can take off your plate, including how he would approach each task.

He also volunteers to complete certain tasks right as you're talking to the team about what needs to get done within a Slack or Teams thread. And he will tell you what he needs from you to complete the task.

This has resulted us in handing off a lot more work to Viktor than we imagined at the start. It's like "I can spend the next hour doing this... or Viktor can take a stab at it?". And when he comes back with the completed task, it's often shocked me at how well he executed it.

When you give Viktor a task, he actually goes and executes it. He can fetch pages from your website, pull data from connected tools, cross-reference sources, and then come back with a finished output.

For us, Viktor helps with a myriad of tasks, including:

• SEO audits & checks
• Content drafts
• YouTube production
• Automated release notes
• Drafting replies
• PR reviews & code analysis (Engineering)

Viktor is like a real engineer who can actually ship work. Viktor has its own cloud computer, which means it can write code, run it, and deliver the result without any infrastructure on your end.

For example, our team is now tagging Viktor before our engineers when there's an issue. Viktor can quickly find the problem in our codebase and suggest a fix. We've only given him read access to our GitHub, but if he had write access, he could commit the fix and open a pull request.

In other cases, less technical team members (aka ME) can tag Viktor to help me understand the backend and when I actually need to pull an engineer in.

This means my team members need to spend less time helping me with these small tweaks and I can actually just tell them exactly what I need.

You can just tell Viktor the automation you want to build in plain language within Slack or Teams. No crazy workflow builder needed!

You just say:

Do Y in X tool, then check this, create that, update the status here, and send the follow-up there.

An example, a friend wanted an automation so that when a lead came in her CRM, the lead would automatically get an email directly from her. I asked Viktor if he can build it for her. He said "Yes, send her to me and consider it done."

I can't tell you the amount of times that I've said to Viktor "this is probably to big of an ask but trying anyway..." And he's come back with a completed task that spanned multiple tools.

One of the less obvious wins with Viktor is being able to delegate the follow-up layer of managing a team, which happens to be one of my favorite ways to use him.

If someone needs to get something done by Friday, you tell Viktor: if it's not done by then, ping them. When a human sends that reminder, it can feel like nagging or micromanaging. When Viktor sends it, it just feels helpful.

If my team sends me a task, I often tell Viktor to remind me if I haven't answered. It's been awesome.

One of the things that makes Viktor feel different is that the context doesn't reset every time you talk to him. He saves preferences as you go, so you're not constantly re-explaining how your business works.

For example, Bob, our head engineer, told Viktor to hold onto a QA checklist for future reference, and he did. I corrected a UTM formatting rule once, and Viktor applied it going forward without being reminded.

This is where Viktor starts becoming more than just a helpful Slack or Teams assistant. He's becoming the "process" layer for our business.

If I tell Viktor, "when we're done with the audio sync, remind our editor to do XYZ," that reminder now happens at the right moment, in the same place the work is happening. We don't have to rely on someone remembering to check a separate doc, follow a checklist, or manually manage every little handoff.

Viktor also builds up context from the conversations, decisions, and back-and-forth happening across all of your channels. When comparing Viktor vs Claude Tag, Claude Tag only has memory across one channel at a time. After experiencing Viktor having context across all of our channels, it feels too restrictive and limiting to have an different AI per channel.

For example, we have both SEO and engineering channels, and Viktor being able to read all the SEO context when troubleshooting with our engineers makes a huge difference.

In fact, our engineer says sometimes he talks to Viktor more than Claude when trying to problem solve because Viktor has a lot more context as to why we're doing what we're doing, and often offers better solutions.

Viktor gives you control over what it can and can't do. You can set it to ask before taking any action, restrict its access to specific channels, and limit what it can do across connected tools.

For example, Our GitHub connection is read-only. Viktor can read pull requests, diffs, and file contents, but it can't push code or open PRs. That was a deliberate choice on our end, and Viktor made it easy to set that boundary.

Viktor is also SOC 2 compliant, which is worth noting if you're handling sensitive business data or operating in a context where security review is part of how you evaluate new tools.

Viktor connects to the tools your team already uses through native APIs and browser automation, over 3,200+ in total.

If Viktor doesn't connect with a tool, you can also add a custom MCP.

The integration depth means Viktor isn't just reading your Slack or Teams conversations in isolation. It's pulling context from across your stack to do the work properly.