Your one-shot prompt
Build a launch-ready German-language MVP called "Desktop Retention Agent" for specialist teams at SMEs in [REGION]. Act as a product engineer, UX writer, and data privacy practitioner.
Desktop Retention Agent
Effort●●●●●
Upside$$$$$
Competition · estimate●●●○○ · Several AI tools compete, though domain workflow can differentiate.
Contracts, receipts, and project files keep accumulating while nobody knows what is due for review. Your local agent shows offices retention dates, owners, and approval evidence. What happens when automated classification conflicts with the actual contents of the file?
Your first step
- 1Choose a nicheNarrow specialist teams at SMEs to one subtype in [REGION]. Exclude adjacent problems.
- 2Validate the problem
- 3Review samples
- 4Define the pilot
- 5Map the workflow
- 6Build the core
- 7Protect data
- 8Test acceptance
- 9Sell the pilot
- 10Improve selectively