Many people have experienced the regret of sending inappropriate or overly emotional messages while intoxicated. Alcohol impairs judgment, leading to messages that can damage relationships or professional reputations. While some apps block or delay drunk messages entirely, they don't address the core issue: people still want to communicate while drinking, just more responsibly.

How It Could Work

One approach could be an intelligent autocorrect system designed specifically for intoxicated users. It might detect intoxication through typing patterns (like erratic speed or excessive typos) or by integrating with wearable devices that track blood alcohol content. When problematic language is detected, the system could suggest more appropriate alternatives. For example:

• "I hate my job" might become "Work has been challenging lately"
• Aggressive language could be softened to neutral wording

The system could operate as a keyboard extension or integrated feature in messaging apps, always allowing users to override suggestions if they prefer the original message.

Potential Applications and Benefits

Such a tool could help various groups:

• Social drinkers who occasionally send regrettable messages
• Professionals who might accidentally message colleagues inappropriately
• Dating app users prone to sending awkward messages

Messaging platforms might benefit from increased user satisfaction, while alcohol brands could potentially sponsor "responsible drinking" features. An enterprise version could help companies prevent unprofessional communication.

Implementation Considerations

A simple version could start as a keyboard app that flags potential drunk messages based on typing patterns. Testing with real users in drinking scenarios could validate whether the approach actually reduces regrettable messages. More advanced versions might integrate with wearables or expand to voice messages.

Key challenges would include ensuring the system doesn't mistake poor typing for intoxication, making the suggestions feel helpful rather than intrusive, and handling cultural nuances in language. Processing data locally on devices could help address privacy concerns.

Unlike existing apps that simply block drunk messages, this approach would allow communication while reducing potential harm. It would differ from general autocorrect tools by specifically targeting the types of messages people tend to regret when drinking.