Adept AI

Adept AI develops agents that use software like humans for general automation. This boosts productivity by handling complex digital workflows, pushing AI towards more autonomous, adaptable systems.

intermediate15 min5 steps

The play

Understand Human-Software Interaction
Research core principles of human-computer interaction (HCI) and cognitive psychology to grasp how humans perceive, plan, and execute tasks using software tools.
Explore Advanced Planning & Reasoning
Investigate AI planning algorithms (e.g., task decomposition, symbolic reasoning, reinforcement learning) that enable agents to navigate multi-step, dynamic digital workflows.
Develop Robust UI Perception
Experiment with computer vision and natural language processing techniques to enable AI agents to interpret visual elements, text, and semantic cues within diverse software interfaces.
Implement Adaptive Error Handling
Design and test mechanisms for AI agents to detect unexpected UI changes, handle errors gracefully, and adapt their strategies in real-time.
Focus on Continual Learning
Establish frameworks for agents to learn from successful and failed interactions, refining their understanding of software tools and improving task execution over time.

Starter code

import pyautogui
import time

print("Moving mouse to (100, 100) in 2 seconds...")
time.sleep(2)
pyautogui.moveTo(100, 100, duration=0.5) # Move mouse to 100, 100

print("Clicking at (200, 200) in 2 seconds...")
time.sleep(2)
pyautogui.click(200, 200) # Click at 200, 200

print("Typing 'Hello, Adept AI!' in 2 seconds...")
time.sleep(2)
# Ensure a text field is active or open a notepad before running for best results
pyautogui.write('Hello, Adept AI!', interval=0.1) # Type a string

print("Basic interaction complete.")

Source

Articleadept.ai