Yes. We provide full configurability of:
•Proxy and network region
•Active hours and working days
•Message frequency, connection volume, and interaction pacing
Advanced users can fine-tune behavior parameters or choose from pre-trained persona templates to match specific user types or industries.
Our system enforces geolocation consistency by aligning:
•Proxy IP region
•Device timezone and language preferences
•Operating hours matched to the selected region’s local time
This ensures that all automated actions appear to originate from a local, legitimate user profile — minimizing geo-based red flags.
We exclusively use residential-grade rotating proxies from the exact region selected by the user. These IPs originate from real household ISPs (not data centers), offering high authenticity and a very low detection footprint. All proxies are automatically rotated within a trusted residential IP pool.
No. Our AI agents operate under a time-constrained, dynamic schedule — typically 8–10 hours per day — with randomized idle periods, lunch breaks, and workload pacing. Actions such as connection requests and message replies are distributed based on a dynamic temporal model, avoiding spike patterns or instant response behaviors.
We implement a multi-layered human simulation engine, including:
•Simulated typing patterns and cursor movements
•Page scrolling and idle times
•Click path randomization and input delays
•Non-linear action flows to avoid detectable patterns
All user behavior is generated through a probabilistic decision model trained to resemble natural engagement patterns on LinkedIn.
Yes — account safety is our top priority. Our system is designed with advanced behavioral modeling and anti-detection strategies that ensure every automated action mimics real human behavior at both micro and macro levels. This dramatically reduces the risk of triggering LinkedIn’s anti-bot algorithms.
