Decisions people can find
Follow a fictional meeting record from draft extraction to shared approval. Try a missing-owner failure and see why proposals, decisions and unresolved questions need different treatment before the group relies on them.
An original hands-on example. Free to explore. This example runs in your browser; the optional AI guide below is separate.
A working local example. Your changes stay in this page until you choose to save, copy or download. No AI model is called.
A workflow you can inspect
Fictional committee notes need a decision record. Walk through each step and retain human approval before acting.
- Weekly repetitions
- 5
- Baseline scenario
- 125 min/week
- Assisted normal-run scenario
- 125 min/week
- Illustrative difference
- 0 min/week
Step trace
- 1. Choose suitable notes
Human approval required. Human step; 4 min baseline. Exclude sensitive beneficiary information.
- 2. Separate proposals and decisions
Ready in this simulation. Human step; 6 min baseline. Preserve the wording that supports each item.
- 3. Check owner and date gaps
Ready in this simulation. Human step; 3 min baseline. Unresolved gaps prevent a final assignment.
- 4. Approve the record together
Human approval required. Human step; 8 min baseline. Participants confirm what they agreed.
- 5. Prepare an accessible summary
Ready in this simulation. Human step; 4 min baseline. Only approved decisions belong in the final record.
Recovery and ownership
- Before using a real workflow
Choose an owner, check inputs and permissions, and define a safe pause and retry path.
Assisted steps use an explicit 50% time assumption for this illustration; human steps retain full time. Failure recovery time is not estimated. This is not measured savings or a running automation.
For the moments like this.
A committee meeting produces ideas, disagreements and a few actual commitments. A neat summary can blur those differences if nobody checks which statements the group truly agreed. Try the sample first, change one important detail, and decide what you would keep or revise before using this approach in your own situation.
What becomes possible
AI can help organize a decision record while participants verify wording, ownership and unresolved disagreement. The local workflow is an authored simulation. Choose assistance steps, repetitions and a normal or failed run to inspect the trace, recovery and illustrative timing. No accounts are connected and no automation actually runs.
Take the next little step.
Your choices from the experience travel into a practical starter. Shape it in your own ChatGPT, or explore personal help with Kevin.
Continue in your ChatGPT.
Copy the starter, open ChatGPT, and paste it when you are ready. You choose what to share. Nothing is sent automatically.
ChatGPT access and features depend on your account. Keep private details out until you understand the settings of the service you use.
A little help, right here.
The personalized guide is awaiting its approved connection in this studio preview. The interactive experience and your ChatGPT starter work without it.
The guide helps you explore and apply an idea. Your direction, decisions and approval remain yours.
Sources, capability notes and how this example works
This local experience uses authored sample content and deterministic controls. Changing an input updates the example; no model runs, outside records are checked, or real-world actions are performed. Use the sources for the underlying AI capabilities and audience context, and the human check above when you apply the idea.
Google: How AI is driving impact for nonprofits ↗June 2025. Survey of over 9,000 program organizations; vendor sample and self-reported benefits.
OpenAI: File Uploads FAQ ↗Checked September 11, 2026. File comparison, extraction and analysis require human checks and appropriate permissions.
Research checked September 11, 2026. Access to specific AI features depends on your account, plan and region. Sample amounts, timings, scores and feedback illustrate the method rather than claim measured outcomes.