Short answer: Build software with AI should solve one recognisable job: completing one valuable task from a clear starting point to a trustworthy result. For people building a focused product, the first release is credible when it delivers a dependable way for people building a focused product to complete that job and recover when it does not follow the happy path.
Name the result worth building
Build software with AI should solve one recognisable job: completing one valuable task from a clear starting point to a trustworthy result. For people building a focused product, the first release is credible when it delivers a dependable way for people building a focused product to complete that job and recover when it does not follow the happy path.
The product earns its place by completing a job that is awkward today. Capture where that job starts, who owns it, and what evidence marks it finished.
Trace the work from trigger to handoff
Screens become easier to choose once the records, decisions, and handoffs behind the work are visible.
A user arrives with a clear task. They provide or find the information the task requires. They complete the action and receive useful feedback. The team can manage exceptions in an intentional workspace. Include the ordinary recovery action here, not in a hidden administrator-only process. Read the sequence as one service, with state and responsibility preserved between each step.
Give the product a reliable memory
The first connected records are user, primary record, activity, status. Keep one authoritative home for shared facts and attach history where a later correction or support decision will need it.
Permissions should follow responsibility. People need enough access to complete their part without receiving a universal administrator view.
Make ordinary mistakes recoverable
Adding features before the core path works. Decide the rule before automating it. Using vague statuses. Test the recovery path before launch. Not testing empty and error states. Make the responsible owner and correction visible.
For every blocked or failed state, explain what happened, preserve entered information where safe, and offer the smallest useful correction. Destructive changes should be reversible whenever the domain permits it.
Turn business judgement into visible rules
For this use case, decide who the first user is; the single job the first version completes; what needs permissions; what can wait until feedback arrives. Each choice should state the normal outcome, any safe override, and what the person sees when the rule blocks progress.
Connect a clear customer-facing workflow, the records needed to support it, role-aware administration around those choices so customers and staff are not given conflicting answers.
Test the outcome in context
Use a complete scenario with the actual vocabulary, timing, device, and interruptions people building a focused product encounter. Ask the person to work unaided while the observer notes confusion and workarounds.
Track an outcome appropriate to the job, such as completed appointments, qualified enquiries, fulfilled orders, successful activation, or time saved resolving exceptions. Let repeated evidence choose the next improvement.