Stracti AI - New AI Bot - Train & Create your own bots

Hello!

This is a bot that utilizes AI technology in order to bot games for you. I stated games because I will support more than just oldschool runescape. This bot works the same across various games.

The process is simple. I provide you with readily available trained models that you can see from the client and you can start botting them OR you can train your own models and create your own custom tasks that you want to perform.

This bot does not use any Injection or Reflection. Everything is purely visual. No specific camera orientation needed or settings. Just simply plug and play.

You can learn more from the discord server and ask any questions you may have.



Official Website: Next Generation AI for Game Bots
Youtube Channel:
Discord: https://discord.gg/48yQT92W4a

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$50 a month for a low efficiency cow killer that has been in dev for 5.5 years is crazy.

 

You can kill any NPC. For development purposes, I am using cows.
You can add in your own NPC's. You do not need to wait for me to add in others.

In the meanwhile, there are tons of other bots available with simple scripts and cheap prices.

Thanks for viewing

 

vorkath included then? can I see some demos of it banking as well.

 

Quality takes time. Keep up the good work! Looking forward to use it !

 

Everything will come. I have a discord you can follow to watch progress or the Youtube channel.

 

Hello Zora, thanks for your question i can help clear that out.

Pre-order is one time payment meaning you wont get charged again until the client is releaesd BUT you get a month free because you pre-ordered.
The regular bot is a subscription which you can cancel whenever you want t o

 

Bump as it's been 2 months and i'm preparing for release.











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You create your own bots in a few clicks. If interested, just join the Discord Server: https://discord.gg/48yQT92W4a

 

Stated it would 100% be released months ago. Advise against pre-ordering. Proceeded to disable discord chat for some strange reason. All the best, just be cautious.

 

I find it ironic how someone who hasn't pre-ordered is advising against pre-ordering lol. I get it, you're so excited about it being released that you are letting out your frustration here rather than reaching out to me directly through Discord DM's like many others do.

The people who have pre-ordered have access to a hidden channel where I communicate with them and just so everyone is informed, I offer full refunds for every time I pushed back the launch. How many have requested a refund? None. In fact, they have been continuously supportive and still continue to do so.

When you are building a real complex product that isn't a simple cookie cutter like many others; development gets unexpectedly delayed and takes more time esp as a solo developer handling the frontend, backend, design, planning, and distrubution. Not to mention, I also have a life so unexpected things popup that adds to that delay.

As for disabling general chat, (which by the way was re-activated) once I got development to the point that I wanted it. It was disabled to avoid the useless spam from people commenting on early stages of development which i'm not interested in. The channel gets bloated and the useful information gets pushed back. I am frequently speaking with staff to decide how I want to engage with the community effectively post-launch to create healthy discussions and a non-toxic environment like some other servers.

Also, to add; I've been posting weekly updates in the development channel so everyone has been informed EVERY step of the way with progress. Yes, it's been pushed back multiple times but that is NONE of your concern considering you ARE NOT a customer so please feel free to leave the server or enjoy the development progress

As to lurkers: Release is soon so feel free to pre-order to get 2 months free and other perks.

Later today, everyone will be able to create an account and check out the app.
StractiAI

 

Everyone can now login to the web client after creating an account.
Feel free to check it out: StractiAI

 

The easiest way to create basic to advanced bots.
StractiAI

Feel free to join the discord server to learn more and see examples.

 

That's supervised learning. You should run time-series analysis for all bot processes consisting of tasks and leverage a local table for the edges as three-dimensional pathways between tasks as nodes in a graph neural network, the three dimensions being distance between edges and thus temporal length of edges as x-axis, edges as y-axis and weights derived from the ratio of distance, or length, of edges compared to each other within a time-series analysis as z-axis, the mean and deviation of lending and borrowing of state transitions derived from time-series analysis and leveraging of edges of local tables being the temporal dimension, or t-axis, the lending and borrowing of state transitions derived from time-series analysis and leveraging of edges of local tables occuring between two graph neural networks derived from two instances of time-series analysis and leveraging of edges of local tables as search for commonalities between the two graph neural networks by common knowledge to update common knowledge by generating a new graph neural network as an update to common knowledge, the reward from the search of commonalities for the lending, or reinforcing, graph neural network being dependent on the mean and deviation of lending and borrowing of state transitions derived from time-series analysis and leveraging of edges of local tables, as a VDF and difficulty, as entropy to reinforcement learning, the reward being multiplied with common knowledge to calculate adaptive interest rates coordinating local reinforcement learning, which is recursive through the updating of common knowledge with the generated graph neural network and attempts to match that graph neural network with commonalities by common knowledge through the search of commonalities, the search of commonalities being a generative neural network as a node shared between the two graph neural networks in search of commonalities, through a bidirectional edge between the two graph neural networks as reinforcement learning of the borrowing graph neural network, making the generated graph neural network and thus the update to common knowledge more intelligent due to two simultaneous directions of lending and borrowing of state transitions derived from time-series analysis and leveraging of edges of local tables and thus as graph neural networks generated by generative neural networks, or AI agents, through search of commonalities, aggregated by leveraging the edge formed between the two graph neural networks through search of commonalities by common knowledge, to generate a graph neural network with AI singleton as a node and the edge between two graph neural networks as a nested edge consisting of the two graph neural networks both reinforcing and being reinforced by a graph neural network chosen from a pool by common knowledge. After that you should be combining supervised learning with computer vision leveraging the common knowledge through the adaptive interest rates and thus through a time-series analysis of RAM during processing of bot and it's tasks to achieve reasoning as predictions by adaptive interest rates through self-supervised learning through unsupervised learning through computer vision and AI agents.

 

The computer vision is local, it leverages machine learning through the search of commonalities occuring through the AI agents. With computer vision through AI agents, the bot adapts to the predictions made about tasks, the predictions made about tasks being actions reasoned through the search of commonalities by common knowledge and through the computer vision as recursive reinforcement learning leveraging adaptive interest rates through AI agents.

Imagine it as a computer vision through AI agents as an accerelator, the search of commonalities as an attention mechanism resulting into feedback from matched actions as commonalities resulting into coordination of training of CV models in GPU cluster and thus to widening the gap of consciousness.

 

StractiAI

Running a BOGO w/ friends promotion. More information in the discord announcements.

 

Bu-mp