diff --git a/.gitea/workflows/deploy.yml b/.gitea/workflows/deploy.yml
index 691e4311..b505db49 100644
--- a/.gitea/workflows/deploy.yml
+++ b/.gitea/workflows/deploy.yml
@@ -3,7 +3,8 @@ name: Deploy to BrowserUse VPS
 on:
   push:
     branches:
-      - feature/api-for-subagent
+      - main
+      - develop
   workflow_dispatch:
 
 jobs:
diff --git a/README.md b/README.md
new file mode 100644
index 00000000..1b962a07
--- /dev/null
+++ b/README.md
@@ -0,0 +1,19 @@
+# BrowserUse_and_ComputerUse_skills
+
+Чтобы запустить tool browser-use вместе с hermes agent тебе нужно выполнить следующие действия
+```commandline
+git clone https://git.lambda.coredump.ru/APEX/BrowserUse_and_ComputerUse_skills.git
+git switch feature/telegram-browser-integration
+touch .env
+```
+В создавшемся .env файле заполните переменные в соответствии с шаблоном, расположенном в .env.example
+```commandline
+docker compose up -d --build
+```
+
+```commandline
+docker compose down
+docker compose up -d
+```
+## Удачного пользования
+
diff --git a/browser_env/browser_use_runner.py b/browser_env/browser_use_runner.py
index 957f629f..89ff39b3 100644
--- a/browser_env/browser_use_runner.py
+++ b/browser_env/browser_use_runner.py
@@ -9,6 +9,13 @@ from urllib import error, request
 from browser_use import Agent, Browser, ChatOpenAI
 from pydantic import BaseModel, Field, ValidationError, field_validator
 
+SPEED_OPTIMIZATION_PROMPT = """
+Speed optimization instructions:
+- Be extremely concise and direct in your responses
+- Get to the goal as quickly as possible
+- Use multi-action sequences whenever possible to reduce steps
+"""
+
 
 class RunTaskRequest(BaseModel):
     """RPC payload для запуска browser-use задачи."""
@@ -75,7 +82,13 @@ async def run_browser_task(task: str) -> RunTaskSuccessResponse | RunTaskErrorRe
         temperature=0.0,
     )
 
-    agent = Agent(task=task, llm=llm, browser=browser)
+    agent = Agent(task=task,
+                  llm=llm,
+                  browser=browser,
+                  flash_mode=True,
+                  use_vision=False,
+                  extend_system_message=SPEED_OPTIMIZATION_PROMPT,
+                  )
 
     try:
         history = await agent.run()