AI for Tasks and Notes

Build the mental model

Two of the most common everyday AI workflows deserve a focused look: using AI to help break down tasks, and using AI to help clean up notes.

For tasks: you describe a large project in plain language, and the AI suggests a breakdown into milestones and smaller tasks, genuinely saving time versus a blank page.

A human has to look at the suggested list, cut what is redundant, rewrite what is vague, and only then add a reasonable set of tasks to the actual system.

For notes: raw material from a meeting or reading session goes to the AI, which can produce a clean summary, key ideas, related concepts, and clear action items.

AI FOR TASKS AND NOTES
----------------------
TASKS:  LARGE PROJECT -> AI BREAKDOWN -> HUMAN REVIEW -> REAL TASKS

NOTES:  RAW NOTES -> AI CLEANUP -> SUMMARY + ACTION ITEMS
             |
             +--> RAW NOTES KEPT (never discarded)

Connect it to a real scenario

When you use AI to break down a project, paste in a real description with actual constraints and deadlines, not just a title.

Ask for milestones first, then tasks under each milestone, so the structure stays reviewable instead of turning into one flat list of forty items.

For notes, paste the raw material as-is and ask for a summary, key ideas, related concepts, and action items as separate sections, not one blended paragraph.

Save the AI summary alongside the raw notes, never instead of them; link them together so you can trace a summary point back to what was actually said.

When an action item shows up in the summary, treat it the same way as an AI-suggested task: review it before moving it into your real task system.

• AI-suggested task breakdowns need human review before they reach a real task manager.
• AI note cleanup produces a useful summary, but never replaces the original raw notes.
• Both workflows follow the same rule: AI drafts, a human filters and decides.

Try the working example

const ACTION_VERBS = ["write", "create", "build", "deploy", "design", "test", "publish", "review", "set"];
const MAX_TASKS = 5;

function filterAiTasks(suggested) {
  const scored = suggested.map(t => {
    const firstWord = t.split(/\s+/)[0].toLowerCase();
    const actionable = ACTION_VERBS.includes(firstWord);
    return { task: t, actionable };
  });

  const actionableOnly = scored.filter(t => t.actionable);
  const rejectedVague = scored.filter(t => !t.actionable).map(t => t.task);

  const kept = actionableOnly.slice(0, MAX_TASKS).map(t => t.task);
  const rejectedTooMany = actionableOnly.slice(MAX_TASKS).map(t => t.task);

  return { kept, rejectedVague, rejectedTooMany };
}

const aiSuggestions = [
  "Set up project repository",
  "Design database schema",
  "Build login page",
  "Testing",
  "Write API documentation",
  "Create deployment pipeline",
  "Review pull requests",
  "Marketing",
  "Publish release notes"
];

console.log(filterAiTasks(aiSuggestions));

{
  kept: [
    'Set up project repository',
    'Design database schema',
    'Build login page',
    'Write API documentation',
    'Create deployment pipeline'
  ],
  rejectedVague: [ 'Testing', 'Marketing' ],
  rejectedTooMany: [ 'Review pull requests', 'Publish release notes' ]
}

Work Breakdown Structure overview — Productivity Systems