Free practical workbook
Is the AI idea ready for a real workflow?
Use 32 questions to decide whether to build, narrow, hold, or stop—before architecture, integrations, review queues, and operating costs become difficult to change.
The model is only one part of the decision.
The checklist examines the system around the model: the repeated problem, workflow, messy inputs, evidence, evaluation, human authority, failure behaviour, operating owner, and economics.
Problem reality
Is this repeated, important, and narrow enough to solve?
Workflow
Who uses the output and what action follows?
Input reality
What happens with missing, ambiguous, or unsupported input?
Evidence
Can a reviewer see what supports every material output?
Evaluation
Is acceptable behaviour measurable beyond “looks good”?
Human authority
What may the AI propose, and what must a person decide?
Operations
Who owns failures, review, support, monitoring, and rollback?
Economics
Does value justify retries, review, evaluation, and maintenance?
A decision, not another pile of notes.
Score what is actually defined
Each statement is scored against an agreed answer, owner, and evidence. A demo that worked once does not receive a production-ready score.
Leave with three actions
Use the final page to choose build, narrow, hold, or stop, then name only the actions that materially change readiness over the next thirty days.
Use it after the demo, before the build.
Get the workbook, work through one real workflow, and use the result to build, narrow, hold, or stop.