What is ai-casual-time-logger?

This project is an automation workflow, built on the n8n platform, that turns a casual message like sending a note in Telegram, saying you spent an hour and 45 minutes tweaking something, into a clean, structured work log. Instead of typing time entries into a spreadsheet or invoicing tool, a developer can just send a plain sentence, and the system figures out the details on its own. When a message comes in, the workflow immediately shows a typing indicator so the sender knows something is happening while an AI language model, running through the Groq service, reads the message and pulls out the project name, a description written in a more polished professional tone, and the exact number of minutes worked, converting phrases like an hour and 45 minutes into a plain number. A JavaScript step then cleans up that extracted data so missing or unexpected values do not break anything downstream, filling in safe defaults where needed. Once the log is structured, the workflow routes it out to one or more destinations, such as Gmail, Telegram, Discord, or a generic webhook, depending on what the message indicates. This lets a single casual message end up recorded wherever the developer wants it, whether that is an email log, a team chat channel, or another system entirely. To use it, you need a running n8n instance, either self-hosted or in the cloud, an active Groq API account for the language model step, and credentials or webhook tokens for whichever destination services you plan to use. The workflow itself is imported into n8n as a JSON file through the built-in import feature. The project is released under the MIT license, so it can be used and modified freely with attribution.