Page 4 of 8~112 min topic

Work helper

Plan and prioritize work

AI can expose dependencies and tradeoffs, but people must supply priorities, capacity, authority, and real constraints.

~14 min this pagePlanning playbook

1Learn the idea

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The working principle

AI can expose dependencies and tradeoffs, but people must supply priorities, capacity, authority, and real constraints. This principle matters because an AI system produces likely output from the context and instructions it receives; it does not automatically know the organization’s current facts, private policy, unstated intent, or acceptable risk.

Use the following sequence for this page: define the outcome and planning horizon; list constraints, dependencies, and fixed commitments; ask for assumptions and alternative plans; confirm estimates and ownership with the people doing the work. The sequence is a guide, not a ritual. Skip a step only when its question truly has no effect on the outcome, and strengthen it when mistakes would be costly.

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A practical method

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1. Define the outcome and planning horizon

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2. List constraints, dependencies, and fixed commitments

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3. Ask for assumptions and alternative plans

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4. Confirm estimates and ownership with the people doing the work

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Work through the scenario

Return to the opening case: A team has twelve tasks, two people, one deadline, and an instruction to “make a realistic plan” without estimates or dependencies. Begin by rewriting the request as a small contract. Name the intended reader or user, the authoritative material, the operation to perform, the required output, and the review owner. If current information is required, identify where it will come from. If exact calculation or action is required, assign that step to a deterministic tool or an approved system rather than relying on prose generation.

A useful instruction could follow this shape:

Goal: help [reader] accomplish [outcome]. Use only [named sources or supplied material] for factual claims. Perform [specific operation] and return [format]. Mark missing information as TBD or ask a focused question; do not guess. Before the result is used, [named person or role] will check [criteria].

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Failure modes to catch

  • Treating an AI schedule as a commitment. This hides an important assumption or removes a review point. Replace it with an explicit rule, a source check, or a human decision.
  • Optimizing for urgency while ignoring value. This hides an important assumption or removes a review point. Replace it with an explicit rule, a source check, or a human decision.
  • Hiding uncertainty behind precise dates. This hides an important assumption or removes a review point. Replace it with an explicit rule, a source check, or a human decision.

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Make it reusable

Turn Plan and prioritize work into a template you can reuse this week: job statement, required evidence, failure mode to catch, and reviewer. Store it next to your other work helper notes. When the job changes, rewrite only the job statement and re-run the same failure-mode list — do not invent a new workflow from scratch. Role of this page: Planning playbook.

Go deeper

Before you start

Why this matters

A team has twelve tasks, two people, one deadline, and an instruction to “make a realistic plan” without estimates or dependencies. The temptation is to begin by typing a broad request and judging whatever appears. That approach makes a good result hard to repeat and a bad result hard to diagnose.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

1. Can you explain why the chosen method fits the task rather than merely naming an AI feature?
2. Did you identify authoritative input, missing-information behavior, and an accountable reviewer?

All responses are required.