Blog
Insights, guides, and comparisons from the Viktor team.
How to Tell If Your AI Employee Is Paying Off
Four measurable signals that an AI employee is earning its place: hours returned, cycle time, coverage, and rework rate, anchored by a baseline week.
Who Should Manage Your AI Employee? Pick the Owner Before It Matters
IT, ops, the founder, or everyone? How to choose the right manager for your AI employee, what the job actually involves, and the 15-minute weekly routine.
What Happens to Your AI Employee When the Person Who Set It Up Leaves?
Most AI setups quietly depend on one person. Here is how to make your AI employee survive its manager leaving: shared access, owned routines, team memory.
Viktor vs Poke: A Personal Assistant in Your Texts or an AI Employee for Your Team?
Poke is a personal AI assistant in your texting apps. Viktor is an AI employee for your team in Slack. An honest look at who each one works for.
What Does an AI Employee Actually Do All Day? A Week, Hour by Hour
A concrete Monday-to-Friday tour of what an AI employee does: reports, research, follow-ups, hiring prep, and the approvals humans keep.
How to Verify Your AI Employee's Work Without Redoing It
A practical system to verify AI employee output: sources with every number, spot-checks that take minutes, and corrections that stick permanently.
Viktor vs Dust: An AI Employee or a Workspace Full of Agents?
Viktor is an AI employee working in your Slack or Teams. Dust is a workspace where you build custom agents. An honest comparison of both approaches.
How to Share Your AI Employee's Work Outside Your Team (Live Pages, Not Attachments)
How to publish your AI employee's dashboards, client pages, and trackers on a live URL with Viktor Spaces, including access control and what stays private.
How to Decide Which Integrations Your AI Employee Actually Needs
A workflow-first method for choosing AI employee integrations from a catalog of 9,800+, plus the path when the tool you need is not on the list.
Automations Don't Break. They Go Quiet. Here Is How to Notice.
We audited 236 recurring routines in our own workspace and 22% had gone quiet. How to run scheduled AI work so silence gets noticed, not discovered late.
What Teams Ask Before Hiring an AI Employee (And What They Ask After)
The questions teams actually ask before hiring an AI employee, and the different questions they ask three weeks in. Both sets answered honestly.
How to Roll Out an AI Employee to Your Whole Team
One person's AI employee is a productivity hack. The whole team's is an operating change. The rollout playbook: members, shared tools, and scaling.