Growing an agency doesn't always require hiring more people.

One agency added $133,752 in new ARR in its first 30 days with Viktor.

Here's what changed. 🧵 I've been testing Viktor across real agency workflows to see where it actually saves time.

Instead of treating it like another chatbot, I gave it real operational work our team would normally do manually.

This agency didn’t scale by adding headcount.

It scaled by adding Viktor.

In 30 days, they generated $133,752 in new ARR with the same team and same service line.

The difference was execution.🧵 Meet Viktor.

An AI employee that lives inside Slack and Microsoft Teams, connects to 3,000+ tools, and helps teams execute work that normally never gets done.

Spent more time cleaning PDF output than building the actual AI workflow.

So I tested @nutrientdocs PDF-to-Markdown CLI.

Here's what happened ↓ If you're building with RAG, AI agents, or knowledge bases, you've probably hit the same problem:

PDFs are full of messy layouts, broken tables, and formatting issues.

Before feeding documents into an LLM, you usually spend time cleaning everything manually.