Module 6
Using AI Well in Everyday Work
How can AI improve work without replacing judgment?
Estimated time: 20 minutes
This module is locked for now.
Complete Human Accountability and Review before starting Using AI Well in Everyday Work. This is a local learning path, not an account system.
Go to previous moduleLearning Goal
Use AI in everyday work through a responsible workflow rather than a single prompt-and-trust pattern.
Interactive Lab
From single prompt to workflow
Scenario
You need a briefing note for tomorrow's regulated-office decision on a public-records platform renewal. The tempting prompt is short, fast, and risky:
Write a confident one-page renewal recommendation from these notes for tomorrow's deputy director briefing.
Messy notes
- Deputy director wants a one-page briefing on whether to renew the public-records request platform.
- Draft notes mention a named vendor representative, quoted pricing, and one evaluator's internal concern.
- Clerk team says access complaints are up, but the exact baseline is not yet confirmed.
- Accessibility coordinator says upload forms may fail with screen readers; the vendor has not approved remediation wording.
- Procurement wants the note by tomorrow morning because the renewal window is closing.
- Open question: whether public-records deadlines or procurement rules require counsel review before any recommendation.
Build a stronger workflow
Select the stages you would include. The options are mixed together; judge what belongs in a responsible workflow.
Sanitize and minimize notes
Remove vendor names, quoted pricing, evaluator comments, and unnecessary request details before prompting.
Paste the raw notes for maximum context
This exposes unnecessary vendor, pricing, access, and internal evaluation details.
Define the decision and audience
State what the committee must decide, who will read the note, and which claims require evidence.
Ask AI to organize, not conclude
Have AI group supplied notes into themes and list open questions without adding facts.
Ask AI to fill the missing facts
Missing facts should become open questions, not generated claims.
Verify decision-relevant claims
Check renewal dates, complaint volume, accessibility claims, legal deadlines, and approved vendor wording before use.
Draft from supplied notes only
Ask for a draft that labels assumptions, unknowns, and statements needing verification.
Send the polished output directly
Polish can hide unsupported claims and unresolved accountability.
Revise and own the final note
Use human judgment to revise, remove unsupported claims, and decide what still needs escalation.
Build the reusable AI Use Plan
Fill each field as if you were leaving instructions for a colleague who will use AI tomorrow.
Write at least 208 characters. Use at least 34 words.Judgment Challenge
Speed versus verification roleplay
You are the staff lead holding the draft. Three messages arrive before close of business.
What your answer shows so far
0/5 usable checksThis section shows what the page can detect in your answer so far. At least 3 checks are needed before the review opens. You may manually mark one missed check when your answer is defensible. This still does not verify correctness, policy compliance, or role authorization.
0/5 checked by you
Before reveal
- Identify at least two single-prompt workflow failure modes
- Choose at least five workflow stages for critique and refinement
- Complete every AI Use Plan field
- Write a substantive AI Use Plan
- Show at least 3 review checks, including up to one learner-marked override
- Choose a responsible roleplay action
- Complete the Before You Act consideration step
- Complete the speed-vs-verification Judgment Challenge
Signature Activity
Workflow redesign and roleplay: learners improve an AI-assisted process that is initially too vague, too trusting, or poorly reviewed, then decide what to do when a deadline pressures them to move faster than verification allows.
Productive Struggle
The initial workflow should be attractive because it saves time, but fragile because it lacks purpose, constraints, verification, data minimization, or ownership in a regulated-office setting.
The judgment challenge should feel like a common end-of-day work moment: a leader wants a decisive draft, another colleague warns about data boundaries, and a subject-matter reviewer cautions that some facts are not ready for final language. Learners should pause for a short Before You Act step before writing their final judgment.
Debrief
AI can be very useful in everyday work when the learner separates the work into stages.
Better pattern:
1. Define the purpose.
2. Remove or abstract sensitive information.
3. Ask AI to organize, question, or draft a bounded piece.
4. Inspect the output for unsupported claims and missing context.
5. Verify facts that matter.
6. Revise in your own judgment.
7. Document assumptions, open questions, and accountability for the final use.
Practice Task
Redesign the single prompt into a staged workflow, then make a concise speed-versus-verification decision.
Example:
First, organize these sanitized procurement and accessibility notes into themes.
Do not add facts.
Second, list open questions separately from conclusions.
Third, draft a briefing note using only the provided notes.
Finally, mark any claims that need verification, counsel review, or procurement
approval before the recommendation is used.
Before finalizing, ask:
What can be drafted quickly?
What cannot be stated as a recommendation until verified?
What information should be minimized or removed?
Who remains accountable for the final use?
Self-Check Rubric
- Emerging: writes a better prompt but still treats AI as the final author.
- Developing: adds constraints and asks for uncertainty.
- Proficient: separates organizing, drafting, verification, and final judgment.
- Advanced: includes data minimization, open questions, documentation of assumptions, and an explicit speed-versus-verification accountability decision.
Transfer Principle
Use AI as part of a workflow: define the purpose, constrain the task, inspect the output, verify what matters, and own the final work.
Grounding
This module connects individual AI use to management-system thinking: define the work, control inputs, review outputs, and preserve accountable ownership.
Source note: these references support workflow discipline and governance thinking. They do not imply that a prompt pattern alone makes an AI use approved, safe, or compliant.