What the first 100 active users want from my AI Agents platform
I just crossed our first 100 activated users on Sistava.com. Instead of looking at total usage volume, I dug into the exact behavioral data to see what founders actually want to automate first.
The biggest takeaway? Nobody is using AI to brainstorm anymore. They want execution.
Here is where they are deploying their AI employees:
43% Marketing: Content distribution and campaign execution.
31% Sales: Cold outreach pipelines and lead mechanics.
17% Operations: Managing back-office workflows and admin.
9% Support & Finance: Resolving tickets and routing tasks.
The retention numbers show they are actually trusting the loops:
41% return within 48 hours of setup.
52% automate a completely separate workflow within week one.
19% achieve multi-task velocity (running 3+ processes concurrently).
The product shocker: 23% of users immediately granted desktop-level access for browser automation. They are letting the agents control active browser windows to scrape leads and handle web apps unsupervised.
The relationship changes the second a user grants desktop control. It stops being a smart assistant experiment and becomes genuine, trust-based delegation.
Running this solo means I have to iterate fast based on these metrics. If you are building in the agent space, how are you tackling the UX friction of getting users to trust autonomous execution?
