Turn a spreadsheet-and-email process into a web app with accounts, approval flows, and dashboards. Start with a specific workflow, make access rules explicit, and pilot with the people who will use it.
Anything your team uses that customers never see: an equipment or inventory tracker, a client onboarding checklist, a PTO request and approval flow, an applicant pipeline, a vendor directory, an expense log, a job board for crews, a QA checklist with sign-offs. The pattern is the same: structured records, a few roles, a workflow, and a dashboard.
Connect an external MCP client such as Claude, ChatGPT, Cursor, or Codex to Benmore and write what actually happens, in plain language:
"Field techs submit job reports with photos. A supervisor reviews and approves or sends back with notes. Office staff see a dashboard of approved jobs by week and export to Excel for billing."
That single paragraph contains the data model, the roles, the workflow, and the reporting. The AI builds all four: tables, login-gated views per role, an approval state machine, and the dashboard.
Map spreadsheet columns to the app's schema, import a sample, and check row counts and values before moving the full history. See deploying a spreadsheet as a web app for the import and verification steps.
Pilot at the development URL with representative test data and the feedback widget if enabled. Configure roles and table access first, then test as a regular user, supervisor, and unrelated user. Exercise allowed and denied transitions, duplicate submissions, and notification failures. When ready, verify, promote source, and publish; move production data through a separately reviewed import.
Use the Codex and Claude guide for the full build and release loop. Teams operating their own infrastructure can follow the self-hosting guide.