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AI Productivity Handbook 3: Task Delegation and Delivery

Hand a complete task to AI with less step-by-step direction and less rework

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All chapters
11
Locale
English
Course type

Learn to hand a complete task to AI with less step-by-step direction, less manual assembly, and fewer revisions. Set out the requirements, supply the materials, and say what AI may do. When the work comes back, you'll know what to check, how to ask for fixes, and when the task is done. Basic AI skills are needed; programming experience is not.

Best for

  • You can already explain a request, provide material, and check answers, and now want to hand AI a complete task
  • You use AI to organize information or prepare plans, but still add requirements and piece results together yourself

Problems solved

  • You still plan every step yourself, and plenty of AI answers later the work isn't done
  • Your requirements weren't complete, so the result misses key content and goes through repeated revisions
  • AI says the work is done, but you can't tell whether you can use it or what needs fixing

Outcomes

  • Say what to deliver, which materials to use, and what counts as done
  • Set what AI may do, and choose when it should pause for a check or stop
  • Check the final work and its key evidence, then decide whether to use it, revise it, or look further
  • Ask for specific corrections, check that they were made, and keep the content that was already right

Highlights

  • 24 techniques, each explained on its own, with everyday examples of what to ask AI, how to proceed, and what to check
  • Count preparation, checking, rework, and handoff time to decide whether delegating really saves effort

All chapters

11 chapters

Lesson 1: Delegate a Complete Piece of Work to AI

Identify the recipient and next action, then choose complete work AI can handle and you can check. State the deliverable, connected processing, and decisions people retain.

Lesson 2: Specify the Deliverable and Completion Criteria

Turn purpose into checkable delivery requirements, distinguish mandatory and adjustable parts, specify evidence for key checks, and establish how to handle conflicts.

Lesson 3: Clarify Requirements in a Task Brief

Organize confirmed requirements into a task brief covering material, delivery, and constraints, then check actual reading and use against locations, versions, and source text.

Lesson 4: Fill Critical Information Gaps Before Starting

Check readiness against delivery, identify blocking gaps, distinguish source checks, user questions, and tool needs, and state what can continue and what to update after confirmation.

Lesson 5: Define AI's Permissions and When to Ask

Specify actions AI may continue, must ask about, or may not perform, and judge authorization by object, version, and impact, including who must confirm what.

Lesson 6: Confirm Direction Before Deciding What Comes Next

Use interim results and potential rework to decide whether direction needs review; use completion criteria, effort limits, and obstacles to continue, adjust, or return results.

Lesson 7: Find the Result and Confirm Actual Progress

Use an execution summary to find the actual result, check it for the agreed use, establish progress, and hand remaining work to the successor.

Lesson 8: Check Evidence and Judge Conclusions

Check source text for an action-changing conclusion, assess source and conditions for current use, and decide whether to retain, narrow, or defer it.

Lesson 9: Check Requirements and Judge the Deliverable

Choose checks for the actual final result against confirmed requirements, judge each item and the whole by evidence, and decide whether to adopt, revise, or investigate.

Lesson 10: Explain the Revision and Check the Result

Explain how to fix confirmed problems. Compare the actual changes between versions, check the original problem, retained content, and other affected parts, and then decide whether to adopt the new version.

Lesson 11: Choose Methods That Deliver a Usable Result

Choose sufficient delegation and acceptance methods for the task's conditions. Calculate all effort from preparation through a usable result and judge whether the arrangement is worthwhile. Propose a small improvement for a potentially recurring problem and explain how to check its effect.