# ai-planning-20250414

## ai related events this week
* **Language Center AI Workshop**, Mon 4–6pm, Main Studio
* AI check in wednesday
* AI@fas Thursday
* **AI Working Group**, Fri 8:30–10am, Main Studio

### upcoming
* louisa
* taleen

## notes on last week
* helped beginners work on python notebooks - moved from getting a transcript of a recorded video lecture to quiz questions
* if we want to share a notebook publically, we want to go through and dress it up with comments and formatting (show mk)
* if it's a participant notebook, it can be anonymous and we can be less intense about quality control
* ALWAYS sending out links and summaries
* more public facing book
* section for each
* links to instagram posts
* news round up or summary, with links to all the stories that we printed

### tasks related to last week
* summary post: what did we do? image from the lab. screenshot of code. link to a notebook.
* another post from last week: gened1189 visit
* another post from last week: madeleine on sts panel
* posts/resources for when it quiets down a bit
* activity (paper polling as http request)
* backburner resource
* vision for paper polling (+tutorial)
* csv parsing notebook (+ tutorial) made for GENED1189

## notes on this week upcoming
* live transcription editing
* connected to louisa and taleen
* connected to what ask from chris

## tasks for up and coming things
* launch slack in a meaningful way
* things in slack by THURSDAY AM
* reach out to chris and huit - "so at these internal meetings on friday we've started on taking your use cases as the problem statement for the meeting. we've worked on polling and generating quizzes. this coming week -- "
* prep for wednesday
* doc of everything (internal)
* and prep for thursday
* show things that are public (like the public facing hackmd book)
* for bok ai lab on live transcription
* slackbots, gdrive listener?
* typing into slack
* typing into google docs
* polling
* live parsing (prompt engineering in coping with a live feed - how often do you ask, what sorts of things do you ask, )
* web transcriptions API
* editing (might be manual)
* figure out release schedule for
* slack
* instagram

## duplicated
# ai-lab-timeline-of-tasks

dani create docs each week housed in an AI lab book
* doc for the day of
* we'll work on it earlier
* post-mortem
* summary of what happened

good for structure to mirror the assets we need (tools for thinking, news, things that people are making)

## brainstorming notes

### Saturday & Sunday:
* add slack news and notes, tools etc. (MK, KH, EW?)

### Monday:
* mk+mw: review post-mortem notes in hackmd of what happened and/or if there's time, on camera reflection of what happened
* dd: start doc for the upcoming friday
* dd and mw confirm with mk the tasks/projects for the week related to digesting the last lab and prepping the next:
* news + commentary from last lab
* tutorials + show and tells from last lab
* o1 research / tools for thinking from last lab
* project launch for next lab with basic parameters for
* activity
* toolset
* ll-project related to activity
* o1 research tasks
* by end of day: Post on Bok Instagram about previous week's Bok AI Lab
* slack (insert details)
* add news

### Tuesday:
* planning for things ahead:
* look ahead at what's upcoming
* look back at what we didn't get to
* determine which things we might want to focus on for the week ahed
* slack (insert details)
* add news

### Wednesday:
* firm up what we will focus on for upcoming lab
* deadline: Post on Bok Instagram about upcoming week's Bok AI Lab
* slack
* add news
* start o1 research

### Thursday:
* finalize plan for next day
* slack
* add news & print
* finalize & print o1 research

### Friday:
* Bok AI Lab happens
* then immediate post-mortem summary of what happened
* if there's time, on camera reflection of what happened
* slack
* summary of the week
* summary of the lab (automated)

## schema for understanding the above

- some days have specific events
- some days have specific deadlines
- each day involves human input to slack
- each day involves ai input to slack
- each day involves automated ai digestion/synthesis of slack and external sources