AI Aimbot: Achieve the best natural aiming with InVision

Experience the best AI aimbot for natural aiming. InVision’s new neural network update mimics your playstyle for corrections indistinguishable from human input.

The era of robotic, detectable aimbots is over. Legacy aimbots rely on rigid mathematical curves that anti-cheats can easily detect and flag. Our latest update introduces a neural network-powered AI aimbot designed to break this pattern. By learning directly from your unique playstyle, it delivers micro-corrections that are virtually indistinguishable from natural mouse movement.

Why Traditional Aimbots Get You Caught

Conventional aimbots follow predictable mathematical patterns. They move toward a target using fixed curves and identical smoothing values. While effective, this movement looks nothing like a real human. Anti-cheat systems like VAC Live have become experts at flagging these behaviors through real-time analysis. The result is simple: more cooldowns and more bans.

The core problem is that every traditional aimbot makes you aim exactly like every other user. Since no two players actually aim the same way, these robotic signatures are easy to spot.

How the AI Aimbot Works

InVision takes a fundamentally different approach. Instead of generic correction curves, we use a personalized neural network model trained on your actual mouse movements.

The Calibration Process

Getting started takes just a few minutes. Our built-in calibration minigame presents targets at various distances to capture short-range flicks, mid-range adjustments, and long-range tracking. As you aim naturally, the system collects data on:

  • Your mouse movement direction and velocity
  • How you approach targets at different ranges
  • Your acceleration and deceleration patterns
  • Weapon-specific aiming habits

This data is then used to train a lightweight neural network that runs in real-time alongside your game.

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The Result: Aim Corrections That Look Like You

When active, the AI predicts what your natural correction would look like and applies it. The output isn't a generic straight line toward an enemy's head. It is a movement pattern that carries your personal micro-adjustments, your natural over- and under-corrections, and your unique acceleration profile.

From an anti-cheat perspective, the input looks like a real player because it is modeled after one.

Staying Off VAC Live's Radar

VAC Live has changed the landscape of CS2's anti-cheat measures. Valve now analyzes player behavior in real-time, flagging accounts that show unnatural aim patterns for review and cooldowns. This means that even if your cheat is technically undetected, how you play can still get you flagged.

The AI Aimbot was built specifically for this reality:

  • No Fixed Patterns: Every correction is generated by the neural network, leaving no static signature for VAC Live to match.
  • Personalized Output: Since the model is trained on your data, two InVision users will produce entirely different aim profiles.
  • Natural Variance: The network inherently produces slight variations, mimicking the natural inconsistency of human aim.

Combined with our existing features like recoil control, smooth aim adjustments, and configurable FOV, this adds a layer of legitimacy that traditional settings alone cannot achieve.

A Fresh Look: The New InVision Menu

This update also brings a redesigned menu interface. The new design looks more clean and modern with an overall darker aesthetic.

Highlights of the new menu include:

  • User Profile: View your avatar, subscription info, and active config at a glance.
  • Search Function: Quickly find specific settings without digging through tabs.

The new menu isn't just about looks, it is built for speed, letting you spend less time in settings and more time in the server.

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Getting Started with AI Aim

The AI Aimbot is available now for all InVision subscribers. To set it up:

  1. Open the Legitbot tab and go to the Global subtab.
  2. Enable AI Aimbot and complete the short calibration game.
  3. Play naturally to collect data (bot games work as well).
  4. Once you have at least 750 samples and visit the main menu, the model will be trained and stored securely on our server.

The system improves as you collect more data. You can run the calibration across different sessions to refine your profile over time.

InVision is now shifting the focus from basic configurations to intelligent, adaptive systems built around you.