The AI turns my screenshots and emails into calendar events
He uses AI to turn screenshots and emails into calendar events. He also uses it to find email receipts and tickets when he needs them.
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Life admin
Email, calendars, forms and paperwork · 219 ideasCross-app meeting workflow booked the event in the wrong time zone
In a two-week test, the AI read a client email, extracted the meeting time, created a calendar event and sent a confirmation — but the event landed in the wrong time zone (the client email stated none, so the AI defaulted to local time), caught only 40 minutes before the meeting.
This only partly worked. Worth knowing before you try it.
He runs his dad's work orders and meeting scheduling out of his dad's inbox
The same Cowork setup checks his father's email for work orders and schedules his father's meetings automatically. He turned off data sharing with AI for this, so the mail is not saved anywhere else.
The AI updated a charity's website and enriched it from its own photos, unasked
The AI updated a website he manages for a charity and on its own scanned beneficiary header images to add information to the writeup; done well.
Publish the government data nobody can read, and email it weekly
An operator had the AI set up a set of websites that pull publicly available but painful-to-access government data, present it in easy-to-read form, and send weekly emails - turning civic data nobody uses into a small publishing operation.
The AI mapped the missing road to the takeoff spot
The road to a takeoff spot they fly from was not on OpenStreetMap, though satellite images showed the track. They built a tool called osmctl, and the AI drove it and mapped the road.
Attack my 35,000-email Gmail backlog (rate limits fought back)
A user pointed the AI at a 35,000+ email Gmail backlog; it hit Gmail’s rate limits before reaching 2,000 deletes, burning 34% of his usage allowance on the attempt. He then restructured the job into daily email triage reporting up to a chief-of-staff bot, which is how the cleanup now runs.
This only partly worked. Worth knowing before you try it.
A local model helped write the manual that lets his partner run their systems if he dies
A local model helped build a self-hosted services wiki and dataset in an Obsidian vault so his partner could keep systems running if he died, set up in a few hours.
Turn our church's six Chinese devotionals into the bilingual publication every week
A church volunteer runs a weekly hybrid workflow: The AI translates six Chinese daily spiritual messages (Monday–Saturday) into structured JSON under strict rules — Bible quotations in NASB 2020 rather than translated, hymns left untranslated, ministry terminology matched — then Python inserts the text into a PowerPoint template, merges a bilingual twelve-message deck, and converts it to HTML for the church website. He keeps theological review, visual checks and final publishing approval human on purpose.
Found an important message the user had missed in his inbox, then
X user someone (Charlie) gave the AI inbox access at the start of a deep personal-data experiment. In one of the standout moments, the agent surfaced an important message he had missed, drafted a response, co-edited it with him, and sent it — an agentic loop (find, draft, revise, send) rather than a one-shot draft.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.