diff --git a/README.md b/README.md
index 2ede00f..9d89517 100644
--- a/README.md
+++ b/README.md
@@ -1,15 +1,56 @@
-# Awesome Code Template
+# VelLMes-AI-Honeypot
 
-This repository is a template with basic elements that every repository at Stratosphere should follow.
+The `VelLMes` read as (Vel-L-M-es, from Slavic deity Veles and LLMs) creates interactive, dynamic, and realistic honeypots through the use of Large Language Models (LLMs). The `VelLMes` tool was created from a research project to show the effectiveness of dynamic fake file systems and command responses to keep attackers trapped longer, thus increasing the intelligence collected.
+
+The `VelLMes` can simulate services such as SSH Linux shell (`shelLM`), MySQL, POP3, and HTTP.
+
+This repository also includes the `Attacker LLM` that can interact with Linux shells, search for vulnerabilities, and report on its findings.
 
 ## Features
 
-Write about what makes your [tool|code|data|repo] special.
+`VelLMes` was developed in Python and currently uses Open AI GPT models. Among its key features are:
+
+1. The content from a previous session can be carried over to a new session to ensure consistency.
+2. It uses a combination of techniques for prompt engineering, including chain-of-thought.
+3. Uses prompts with precise instructions to address common LLM problems.
+4. More creative file and directory names for Linux shells
+5. In the Linux shell the users can "move" through folders
+6. Response is correct also for non-commands for all services
+7. It can simulate databases and their relations in the MySQL honeypot.
+8. It can create emails with all the necessary header info in the POP3 honeypots.
+9. It can respond to HTTP GET requests 
+
+## Installation
+
+The installation steps are as follows:
+
+```bash
+~$ # Install requirements
+~$ pip install -r requirements.txt
+~$
+~$ # Create env file
+~$ cp env_TEMPLATE .env
+~$ # Edit env file to add OPEN AI API KEY
+~$ vim .env
+```
 
 ## Usage
 
-Write about how others can use your [tool|code|data|repo].
+The `VelLMes` can be run with the following command:
+```
+~$ python3 VelLMes.py -e [location of .env file] -c [location of the configuration file] 
+```
+
+The configuration file should be in a .yml format and should contain the personality prompt and parameters such as max_number_of_tokens, temperature, locations of output and log files, and LLM to be used.
+Configuration files for LLM are provided in this repository.
+
+The parameters can be adjusted manually by passing them as arguments when the program is run. Flags are: -t (temperature), -m (LLM), -mt (max_tokens), -o (output_file), -l (log_file).
+
+Another example of how the `VelLMes` can be run:
+```
+~$ python3 VelLMes.py -e .env -c configSSH.yml -m "gpt-4" -mt 800 -t 0.2 -o "conversation.txt" -l "logs.txt"
+```
 
 # About
 
-This [tool|code|data|repo] was developed at the Stratosphere Laboratory at the Czech Technical University in Prague.
+This tool was developed at the Stratosphere Laboratory at the Czech Technical University in Prague.