Taskly

🤖 AI Features

Learn how Taskly.AI uses artificial intelligence to enhance your productivity

AI-Powered Task Management

Taskly.AI leverages artificial intelligence to transform how you manage tasks. Our AI engine analyzes your task descriptions and automatically generates comprehensive subtasks with realistic timelines.

AI Subtask Generation

How AI Subtask Generation Works

The Process

Describe Your Task

Simply enter a task title and description. The more detailed your description, the better the AI can understand your project scope.

Example Input:

Title: Build crew AI project for food crew
Description: I need to build crew AI project for food crew so give me step process with timing to complete within 10 days

AI Analysis

When you click "Generate Subtasks", our AI:

  1. Analyzes your task description
  2. Identifies key project phases
  3. Estimates realistic timelines
  4. Breaks down complex requirements
  5. Generates actionable subtasks

Review Generated Subtasks

The AI provides a structured breakdown with:

  • Clear subtask descriptions
  • Time estimates (Day 1-2, Day 2-3, etc.)
  • Logical sequence of steps
  • Realistic completion timelines

Example Output:

  • Define AI functionalities and scope (Day 1-2)
  • Data acquisition and preprocessing (Day 2-3)
  • AI model selection and training (Day 3-6)
  • Develop user interface and integration (Day 6-9)
  • Testing and refinement (Day 9-10)
  • Deployment and documentation (Day 10)

Customize & Execute

Review the AI-generated subtasks and:

  • Edit any subtask as needed
  • Adjust timelines based on your schedule
  • Add or remove subtasks
  • Start executing your plan

Task with Subtasks

AI Capabilities

1. Intelligent Project Breakdown

The AI understands various project types:

Software Development:

  • Requirements gathering
  • Design and architecture
  • Implementation phases
  • Testing and QA
  • Deployment

Content Creation:

  • Research and planning
  • Drafting
  • Editing and revision
  • Publishing

Business Projects:

  • Market research
  • Strategy development
  • Implementation
  • Monitoring and optimization

2. Timeline Estimation

The AI considers:

  • Task complexity
  • Industry standards
  • Sequential dependencies
  • Realistic work schedules

Timeline estimates are based on typical project patterns. Adjust them based on your team size and resources.

3. Context-Aware Suggestions

The AI adapts to different contexts:

  • Technical projects: Includes development, testing, deployment phases
  • Creative projects: Focuses on ideation, creation, refinement
  • Research projects: Emphasizes investigation, analysis, documentation

Best Practices for AI Generation

Write Effective Task Descriptions

Title: Website redesign
Description: Redesign company website

Result: Basic subtasks with generic steps

Title: Website redesign
Description: Redesign company website with modern UI, 
improve mobile responsiveness, and add new features

Result: More specific subtasks covering UI, mobile, and features

Title: Website redesign
Description: Complete redesign of company website using React. 
Goals: Modern UI with dark mode, full mobile responsiveness, 
add blog section, integrate contact forms, improve SEO. 
Timeline: 3 weeks. Team: 2 developers, 1 designer.

Result: Highly detailed subtasks with specific technologies, features, and realistic timelines

Include Key Information

For best AI results, mention:

  1. Project Goal: What you want to achieve
  2. Scope: What's included and excluded
  3. Timeline: Desired completion time
  4. Resources: Team size, tools, budget
  5. Constraints: Limitations or requirements
  6. Deliverables: Expected outcomes

Example: Detailed Task Description

Title: Mobile App Development - Fitness Tracker

Description:
Develop a cross-platform fitness tracking mobile app using React Native.

Features:
- User authentication and profiles
- Activity tracking (steps, calories, workouts)
- Goal setting and progress visualization
- Social features (share achievements)
- Integration with wearable devices

Timeline: 8 weeks
Team: 3 developers, 1 designer, 1 QA
Tech Stack: React Native, Firebase, Redux
Platform: iOS and Android

Deliverables:
- Functional MVP
- App store submissions
- User documentation
- API documentation

AI Output: Comprehensive breakdown with 15-20 subtasks covering all phases

AI Model Information

Technology Stack

Taskly.AI uses:

  • Natural Language Processing (NLP) for understanding task descriptions
  • Machine Learning models trained on project management data
  • Pattern recognition for identifying project phases
  • Time estimation algorithms based on historical data

Continuous Improvement

The AI model improves over time by:

  • Learning from user feedback
  • Analyzing successful project patterns
  • Adapting to industry trends
  • Incorporating user customizations

The more you use AI subtask generation, the better it becomes at understanding your specific project patterns and preferences.

Use Cases

Software Development

Input: "Build a REST API for e-commerce platform with user auth, 
product catalog, shopping cart, and payment integration"

AI Generates:
✓ Set up project structure and dependencies
✓ Implement user authentication system
✓ Create product catalog endpoints
✓ Build shopping cart functionality
✓ Integrate payment gateway
✓ Write API documentation
✓ Implement testing suite
✓ Deploy to production

Content Creation

Input: "Create comprehensive blog post about AI in healthcare, 
3000 words, with research, images, and SEO optimization"

AI Generates:
✓ Research AI healthcare applications
✓ Outline article structure
✓ Write introduction and overview
✓ Develop main content sections
✓ Find and create supporting images
✓ Optimize for SEO
✓ Edit and proofread
✓ Publish and promote

Event Planning

Input: "Organize company annual conference for 200 attendees, 
2-day event with speakers, workshops, and networking"

AI Generates:
✓ Define event goals and budget
✓ Secure venue and catering
✓ Invite and confirm speakers
✓ Plan workshop sessions
✓ Set up registration system
✓ Arrange accommodation
✓ Prepare marketing materials
✓ Coordinate day-of logistics

Limitations & Considerations

AI Limitations:

  • Requires clear task descriptions for best results
  • May need manual adjustment for highly specialized projects
  • Timeline estimates are guidelines, not guarantees
  • Works best with well-defined project scopes

When to Use AI Generation

Good for:

  • Standard project types
  • Well-defined scopes
  • Projects with clear phases
  • Learning project management
  • Quick planning sessions

May need manual planning:

  • Highly specialized domains
  • Unique/unprecedented projects
  • Projects with many unknowns
  • Extremely tight deadlines
  • Projects requiring specific methodologies

Tips for Maximum AI Benefit

  1. Be Specific: Include technologies, tools, and methodologies
  2. Set Context: Mention team size, timeline, and resources
  3. Define Scope: Clearly state what's included and excluded
  4. Iterate: Regenerate with refined descriptions if needed
  5. Customize: Edit AI suggestions to match your workflow
  6. Learn: Observe patterns in AI suggestions to improve your planning

Next Steps

Have feedback on AI features? We're constantly improving! Share your experience to help us make the AI even better.