Viktor vs ChatGPT

If you've written off the entire AI agent category because nothing has actually stuck, I get it. I roll my eyes when I see a "new AI employee" product now...

But then I was introduced to Viktor and something seemed different. People in the comments seemed to genuinely love it. It intrigued me enough to download it.

Viktor is an AI hire that lives in your Slack workspace. He reads your channels, and within hours of being added it's already introducing itself and telling you what work he can take off your plate. And look, I've tried more tools than I can count that say they are proactive but they actually create more work than solve it... but Viktor quickly felt different.

For me, he identified when we were about to post a YouTube video and suggested he gets the description ready (our descriptions are quite complicated since ever URL has to be specifically setup with UTM data and specific links). It was a task I always dreaded doing, and equally dreaded the idea of delegating it because of the high room for error. I also did not have time to even think through working with Claude or ChatGPT on how to delegate it.

But Viktor walked me through the steps of what he needed to complete the task. He asked for the transcript for timestamps, he pulled the right links from our website on his own, and formatted all the UTMs based on how we did them in other videos (I didn't even give him the link to our channel or anything!). He came back with something that was 90% right on the first try. No hand-holding, no lengthy explanation of our processes, no "here's a 10-step guide to how we do UTM tracking." He already knew the foundational stuff. We just filled in our preferences as we went.

And that experience repeated itself across our whole team. Our CEO started using Viktor for strategy and ops. Our head of engineering started using him as a technical collaborator. All of that happened organically, without anyone suggesting it. Viktor just showed up differently for each person based on what they needed. That's the thing that made us look at each other and go "okay, this one's real."

• Shows up proactively. Reads channels and suggests tasks before you ask
• Remembers your preferences and processes across weeks without resetting
• Adapts to completely different roles on the same team
• Actually executes tasks, doesn't just tell you how to do them
• Sets up recurring automations through plain conversation
• You control exactly what it can and can't access
• SOC 2 compliant
• Generous free tier to get started

• Requires Slack (Teams support coming)
• Credits can run thin on heavier workflows

Viktor doesn't wait for you to come to it. He reads your channels, figures out what's happening, and comes to you with specific things he can take off your plate and how he would approach each one.

He asks for what it needs rather than making you figure out how to explain everything. I noticed it's removed a huge cognitive load.

Viktor actually does work. He can fetching pages from any website, pull data from connected tools, cross-reference sources, and come back with a finished output.

For engineering teams this goes even further: Viktor has its own cloud computer, so he can write code, run it, and deliver results without any setup on your end.

Viktor remembers your preferences across sessions and can set up automations that run on a schedule just by being asked. No Zapier, no workflow builder. You just tell Viktor what you want and what time and he handles it.

Over time it starts becoming the process layer for your business, which is honestly where it gets really exciting.

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.

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.

• Free: $100 in one-time credits per workspace. Enough to meaningfully test whether it fits before committing.
• Team: $50 per workspace per month. Includes 20,000 monthly credits that refresh automatically.
• Enterprise: Custom pricing. Adds a more powerful underlying model, invoicing, security review support, SLA guarantees, priority support, and dedicated onboarding.

What really is there to say? ChatGPT was the fastest-growing consumer app in history when it launched. It reached 1 million users in about 5 days after launch and 100 million users in about 2 months after launch.

OpenAI is general artificial intelligence. You can ask it questions, and it'll answer them, like a human. You can ask it to write code for you, and it'll build it, all while explaining the why and how.

It's the one tool I'd recommend to basically anyone. My mom uses it. My hairdresser uses it. We use it for work. If you're only going to have one AI tool, it probably should be this one.

What makes it stick is the memory. It learns who you are over time, and that's what makes it feel less like a tool and more like a thought partner. Alex and I both run two subscriptions each, one personal and one for work, because once you start building that memory, you don't want it mixed.

Engineering friends of mine are worried that it'll replace their job, and yet they are using it to become a better engineer (using it to teach them different coding languages).

The craziest thing of it all, anyone can use it, and you don't even need to be technical to use it. Just visit ChatGPT here and start asking it questions. You'll be amazed by what it can do. If you're more technical, then be sure to check out the actual API and see where you can fit it into what you're building (I mean everyone else is).

Everyone is trying to build a OpenAI (ChatGPT) into their product right now. It's the closest thing we've seen to magic in an incredibly long time.

If you're using it and hitting limits, it's worth upgrading. AI is probably the cheapest it'll ever be right now. We also have a deal on our site where you can grab a free seat.

• Memory makes every conversation smarter over time
• Works across text, voice, video, files, and code all in one place
• Reliable cross-device experience
• Projects keep recurring work organized without re-explaining yourself every time
• Deep Research mode is genuinely useful for complex decisions

• Can be too agreeable if you don't push it, you have to ask for blindspots
• Projects still feel more manual than they should
• Agent features are useful but not meaningfully ahead of more specialized tools

My personal ChatGPT knows my health goals, the books I've read, my skin routine, and even my clothing measurements. My work one knows our systems, our tone of voice, team members, and the way we think about software.

Out of everything I've tested, ChatGPT has consistently been the best at memory and remembering context, and honestly that's what makes it so good.

I use it with ChatGPT Atlas as my main browser, and having an AI with full context on your business sitting right beside you at all times is just incredibly helpful. It already knows what I'm working on, how I think, etc.

I've tried Claude's AI Assistant Chrome extension as an alternative, and it wasn't even close. The issue is it has no memory at all, it doesn't even save your conversations. So every time you open it, you're starting from zero. Going back to something that forgets you the moment you close it feels unreasonable to use.

This is an area where ChatGPT separates itself most. You can throw it a voice note, point a camera at a broken appliance, upload a messy transcript, or paste in a spreadsheet and it handles all of it without you having to switch tools or context.

I use voice and video mode all the time for random real-life problems. It's the only AI I reliably use for that.

Projects are where ChatGPT starts feeling more like a proper work environment.

We use them for writing, product, engineering, anything where the same context needs to show up repeatedly. It keeps a specific point of view so you're not feeding it background every single time. That said, it still asks you to organize more manually than I'd like. Linking conversations to projects, adding skills to specific projects, it works, but it's a bit more friction than it should be. Heading in the right direction, just not fully there yet.

• Free: Best for individuals, students, or curious first-time users who just want to understand why everyone talks about ChatGPT.
• Codex: Usage-based pricing with no fixed seat fee. Best for engineering teams or technical operators who want AI deeply integrated into software workflows.
• Business + Codex: $20/user/mo billed annually ($25/user/mo monthly). Best for startups, agencies, and growing teams that want ChatGPT as a shared workspace instead of just an individual tool.
• Enterprise: Custom pricing. Best for larger organizations dealing with sensitive internal data, strict IT requirements, and hundreds of employees.