Work helper
Plan and prioritize work
AI can expose dependencies and tradeoffs, but people must supply priorities, capacity, authority, and real constraints.
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.
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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.
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