Who this is for

L&D teams with access to AI tools but no shared workflow, review, or data-use standard yet.

What usually breaks
  • Prompts are personal habits instead of shared workflow artifacts.
  • Source material and data boundaries are unclear.
  • Outputs are treated as done before review.
First 15-minute move

Pick one low-risk workflow and define what AI can do, what it cannot do, and who reviews the output.

What to inspect this week

Check source material, privacy rules, review gates, allowed AI tasks, accessibility checks, and final decision ownership.

Three ways to work the problem

Start simple, then make the system visible.

Manual way

Draw the workflow and mark each human review point before adding AI.

Microsoft 365 or Google Workspace way

Use a shared AI Workflow Brief in Word, Docs, SharePoint, or Sheets so source rules and review gates are visible.

AI-assisted way

Use AI to critique the workflow boundary, identify missing review points, and draft a safer prompt brief for human approval.

Prompt starters

Use AI to prepare the work, not replace the judgment.

ChatGPT GPT-5 family

Use an outcome-first prompt with the job, approved source material, constraints, and the exact artifact you want back.

I am working on AI-Curious L&D Team for an L&D system problem.

Goal: Help me turn the notes below into a practical next move.

Context: Help an AI-curious L&D team define a safe, useful AI-supported workflow.

Use these working fields: current situation, what usually breaks, what to inspect, manual move, workspace move, AI-assisted move.

Rules:
- Use only the source notes I provide.
- Do not invent policy details, metrics, learner needs, compliance requirements, or business context.
- Separate known facts, assumptions, missing information, and next actions.
- Flag anything that needs requester, reviewer, leader, legal, compliance, LMS owner, or manager confirmation.
- Keep the output practical enough to review in a working meeting.

Source notes:
[paste approved notes here]

Return:
1. Working diagnosis
2. Known facts
3. Assumptions
4. Missing information
5. Practical next move
6. Review questions for the team

Claude 4 family

Use XML-style sections so context, source material, task, constraints, and output format stay separate.

<context>
I am working on AI-Curious L&D Team for an L&D system problem.
Help an AI-curious L&D team define a safe, useful AI-supported workflow.
</context>

<source_notes>
[paste approved notes here]
</source_notes>

<task>
Turn the source notes into a practical next move using these working fields: current situation, what usually breaks, what to inspect, manual move, workspace move, AI-assisted move.
</task>

<constraints>
Use only the source notes provided.
Do not invent policy details, metrics, learner needs, compliance requirements, or business context.
Separate known facts, assumptions, missing information, risks, and next actions.
Flag anything that changes scope, ownership, evidence, risk, or decision rights.
</constraints>

<output_format>
1. Working diagnosis
2. Known facts
3. Assumptions
4. Missing information
5. Practical next move
6. Review questions for the team
</output_format>

Gemini 3 family

Use a clear task, labeled input, and one example pattern. For Obsidian context, use approved excerpts, Drive exports, Google Docs, or NotebookLM source sets.

Task: Help me make progress on AI-Curious L&D Team from the notes provided.

Context: Help an AI-curious L&D team define a safe, useful AI-supported workflow.

Working fields:
- current situation
- what usually breaks
- what to inspect
- manual move
- workspace move
- AI-assisted move

Example pattern:
Field: Missing information
Good answer: Name the specific information to confirm, who can confirm it, and why it affects the next decision.

Rules:
- Use only the source notes provided.
- If information is missing, write "Needs confirmation".
- Keep the output concise and reviewable.
- End with the next best action.

Source notes:
[paste approved notes here]

Output format:
1. Working diagnosis
2. Known facts
3. Assumptions
4. Missing information
5. Practical next move
6. Review questions for the team

Microsoft 365 Copilot

Use goal, context, source, expectations, and output. For Obsidian context, use approved excerpts, Word summaries, OneDrive files, SharePoint pages, Teams context, or Outlook threads.

Goal: Help me make progress on AI-Curious L&D Team.

Context: Help an AI-curious L&D team define a safe, useful AI-supported workflow.

Source: Use the selected document, meeting notes, spreadsheet, email thread, SharePoint file, or pasted notes as the only source.

Expectations:
- Work with these fields: current situation, what usually breaks, what to inspect, manual move, workspace move, AI-assisted move.
- Mark uncertain items as "Needs confirmation".
- Do not add facts that are not in the source.
- Separate known facts, assumptions, missing information, risks, and next actions.
- Summarize the top review questions for the team.

Output:
1. Working diagnosis
2. Known facts
3. Assumptions
4. Missing information
5. Practical next move
6. Review questions for the team
Try this one thing today

Use the AI Workflow Brief before running the next AI experiment.