AI Features Inside and Outside DoneIsGood: Complete Guide

1. The Why: The Duality of Modern AI Workflows

Modern knowledge workers interact with artificial intelligence in two distinct environments:

1. Inside the App (Fast, Contextual, Micro-Assistance): When you're adding a task on mobile or planning your morning, you want instant, low-latency assistance: an accurate quadrant suggestion, a 3-step checklist decomposition, or a quick voice capture.
2. Outside the App (Autonomous, Deep, Exploratory): When you're debugging code in Cursor or Antigravity, writing a strategy document in Claude Desktop, or researching a topic in ChatGPT, you don't want to break flow to manually copy-paste action items into your to-do list.

Instead of treating these as competitors, DoneIsGood provides a unified AI architecture that operates seamlessly across both realms.

2. The Landscape: In-App AI vs. External MCP Agents

3. Native AI Features Inside DoneIsGood

1. Task Quadrant Predictor

• How it works: When entering new task title, the in-app model parses your phrase for urgency markers (e.g. deadlines, dependencies) and strategic importance, placing it into the optimal quadrant.
• When to use: Rapid morning triage when your brain is fatigued by decision choices.

2. Micro-Step Decomposition

• How it works: In any task tap the 3-dot menu and select Get AI Guidance. The system generates 3–6 concrete, checkable sub-actions based on the task title and notes. Click on Action and Priority Review to get further guidance and set duration and adding Tags
• When to use: Whenever an item feels intimidating or is prone to procrastination.

3. Habits Coach & Daily Analysis

• How it works: Reviews your completion history and evening reflections, delivering tailored recommendations in either a Supportive Mentor or Tough Love tone.
• When to use: Evening routine and morning review to maintain consistent habit streaks.

4. Price Scout AI (Shopping Lists)

• How it works: Scans shopping list items and automatically surfaces retail price comparisons and purchasing tips.
• When to use: Home and office inventory runs.

5. AI Time Leakage Audits

• How it works: Evaluates your weekly logged hours across all matrices, calculating the exact percentage of time spent on reactive firefighting (Q1/Q3) versus proactive strategy (Q2).
• When to use: Weekly Friday retrospectives.

6. Conversational Productivity Assistant (In-App Chat)

• How it works: Open the in-app Chat interface and select the DoneIsGood AI Assistant.
• Capabilities: Ask questions about your personal habits, active tasks, time logs, and Eisenhower matrix prioritization. The assistant is trained on DoneIsGood's productivity methodologies and how-to guides, offering instant tactical advice when you're feeling stuck.
• When to use: Daily planning sessions, mid-day focus resets, and habit coaching debriefs.

7. AI Task Advisor & Workload Balancing

• How it works: Click Task Advisor to review all your active tasks across your boards in one place. It highlights your top focus areas for the day, groups similar tasks together, flags items that have been sitting untouched, and helps you balance urgent vs. important work.
• Backlog & Ideas boards are ignored: If you mark a board as Backlog & Ideas (Unmanaged), the Task Advisor leaves those tasks out. This keeps your coaching advice focused entirely on tasks you actively plan to complete, without pulling in raw notes or brainstorming lists.

4. External AI via MCP & Google Task Sync

1. Autonomous Task Creation from Code or Research

While working inside an external AI assistant (like Claude Desktop or Cursor), the agent can analyze your open project and interact directly with DoneIsGood:

"Claude, we just finished architecting the database migration. Create a Q2 task in DoneIsGood with checklist steps for writing the schema, running the test migrations, and verifying backups."

Claude calls the DoneIsGood MCP tool, creates the task with appropriate tags, and returns the confirmation link.

2. External Schedule Querying

"Cursor, what are my top urgent tasks in DoneIsGood today before I start refactoring the frontend?"

The agent reads your active board and displays your immediate priorities inside your IDE terminal.

3. Hands-Free Capture via Google Assistant & Google Tasks

Using the 2-way Google Tasks sync, you can speak to any Google Assistant device (phone, smartwatch, Google Home):

"Hey Google, add 'Prepare tax receipts' to my tasks in Household Admin."

Google Tasks captures the audio, syncs with DoneIsGood, and places the item in your Household Admin matrix.

5. Pro Tips & Power Workflows

• The "Draft in Claude, Execute in DoneIsGood" Workflow: Use an external LLM to brainstorm a 12-week company strategy. Have the LLM push the 5 key milestones directly to DoneIsGood as tasks via MCP. Then use DoneIsGood's native AI to break those milestones into daily steps. You can even get this saved as a document within DoneIsGood -- just tell your agent to save it as a DoneIsGood Document.
• Reviewing Agent Attribution: Always check the Audit Log or look for the createdByAgent label on tasks to verify which items were created by Claude or Cursor versus your manual entries.
• Audit Agent Activity: Check the audit log in the 'Sync' Tab of the settings dialogue to see which agent has been accessing your DoneIsGood data.

6. Next Steps & Related Guides

• MCP: Using Your Favorite AI with DoneIsGood: Set up tokens, Cursor configurations, Claude Desktop or Mobile, Gemini Spark or ChatGPT and more.
• Connecting Google & Microsoft Calendars and Tasks: Sync tasks and schedules with Google Workspace and Microsoft 365.
• Mastering the Eisenhower Matrix: Guide both human and AI efforts using proven prioritization rules.