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The shift is happening fast from prompt-response systems to agents that can maintain state, execute workflows, and wait at human approval gates. In a single night, over 200 AI papers, models and launches can appear. Viktor is built to process that volume while teams sleep. It reads papers, press releases, and live discussions, figures out what's important, and compiles a structured draft for review. That is a very different product category from a chat window. Nothing is printed without first being approved. It keeps track of every step, and can use more powerful models without needing to be rebuilt. A copilot summarizes what you paste in, then waits for the next prompt. You are still the bottleneck. An AI employee flips that. He works the night shift on his own:, reading the papers, the releases, the timeline, to get to the bottom. When he gets to work in the morning, the work is already written in your voice. Another important point is that it is model agnostic. He just runs it until a better model comes out. No migration or rebuild. It improves the whole set-up itself. Any job that requires you to “read everything, figure out what’s important, and write the response” works the same way. This includes research triage, competitive tracking, market intelligence, and reporting. Try adding @viktor__com to your team They are also giving a $100 in credits. No card. Link in the first comment.
The shift is happening fast from prompt-response systems to agents that can maintain state, execute workflows, and wait at human approval gates. In a single night, over 200 AI papers, models and launches can appear. Viktor is built to process that volume while teams sleep. It reads papers, press releases, and live discussions, figures out what's important, and compiles a structured draft for review. That is a very different product category from a chat window. Nothing is printed without first being approved. It keeps track of every step, and can use more powerful models without needing to be rebuilt. A copilot summarizes what you paste in, then waits for the next prompt. You are still the bottleneck. An AI employee flips that. He works the night shift on his own:, reading the papers, the releases, the timeline, to get to the bottom. When he gets to work in the morning, the work is already written in your voice. Another important point is that it is model agnostic. He just runs it until a better model comes out. No migration or rebuild. It improves the whole set-up itself. Any job that requires you to “read everything, figure out what’s important, and write the response” works the same way. This includes research triage, competitive tracking, market intelligence, and reporting. Try adding @viktor__com to your team They are also giving a $100 in credits. No card. Link in the first comment.
You can get a feel for Viktor with $100 in starter credits. no cards. https://ref.viktor.com/rohan
I report on every model release for a living, and the most useful thing I installed this year doesn't come with a benchmark. I write a daily AI briefing for 225,000 readers. I'm the editor-in-chief, and I'm also the whole newsroom, which means there's never been anyone to hand a draft to. So my expectations were not that high. I test AI products every day, and most of them come apart the first time they meet a real deadline. Mine arrives every morning whether I'm ready or not: scan the releases, read the papers, separate signal from launch noise, write the brief, ship it. I brought Viktor into my Slack to take the first pass. Overnight he works the sources, drafts the sections, and leaves the finished issue waiting for me to approve or send back. I read it over coffee, cut what doesn't hold, rewrite what does, and approve. Nothing reaches 225,000 people until I say yes. In the first week I approved slowly and doubted everything. By the fourth I was mostly saying yes, because every rejection had taught him what I care about, and he keeps those lessons. What I've come to value most has nothing to do with any single launch. Every time a lab ships, he gets better and I do nothing. No migration, no rewritten prompts, nothing to maintain. More than 40,000 workspaces are running him now, and I understand why. He's the second person I was never going to be able to hire. In a year full of model releases, none of them changed my work the way he has.
Check it out: https://ref.viktor.com/chubby and thanks for the collaboration Viktor