Mission question first. AI second.
Test one useful nonprofit AI workflow without losing human ownership.
Use a vendor-neutral field lab to frame a mission question, protect information, write the human review boundary, test representative cases, and make an evidence-based next decision. No account. No upload. No tool ranking.
7 original guides
6 field kits
3 private planners
0 records collected
Choose the smallest useful next step
A field lab for the work before the software.
Each planner stays in your browser and asks for categories, not organization data.
Frame a use case
Turn an idea into a mission result, allowed role, information boundary, test, and decision gate.
Open canvas →Worksheet 02Check the boundary
See which ownership, data, review, access, provider, fallback, and change controls are already visible.
Check foundations →Worksheet 03Plan a bounded pilot
Create a browser-only frame, prepare, test, review, and decision sequence for one use-case family.
Build sequence →Carry the controls into the work
Six reusable field kits for one accountable experiment.
Mission use-case canvas
A one-page problem, boundary, owner, evidence, and decision outline.
Data boundary worksheet
A minimum-information map with explicit prohibited inputs and an owner for verification.
Human review matrix
A written division between allowed assistance, mandatory review, decision authority, and stop conditions.
Ten-case evaluation set
Ten representative cases, expected characteristics, a rubric, and recorded failure patterns.
Pilot evidence log
A reviewable record that separates observations from conclusions and keeps failures useful.
Vendor and model change register
A dated operating record with current controls, source evidence, retest triggers, and an exit path.
Original learning sequence
Move from interest to an owned decision.
Start with the mission question, not the model
Turn a broad interest in AI into one bounded question that matters to people and programs.
Read guide →Guide 02Map data before choosing a tool
Understand what would enter, leave, persist, or influence the workflow before comparing features.
Read guide →Guide 03Write the human review boundary
Make it clear where AI may assist, where a person must decide, and where the workflow must stop.
Read guide →Sustainable publishing path
The public field lab stays useful without a purchase.
Future revenue may include expanded workbooks, facilitator packs, team training, and clearly disclosed sponsorship or affiliate relationships. No paid placement, vendor ranking, lead sale, or product recommendation operates here today.