Shreya Shankar And Hamel Husain Launch Free AI Product Engineering Mini-Course

I made this talk without using LLMs. It took only a half day and was way more fun than I expected. I guess I didn't realize how frustrating the UX is of (i) arbitrarily serializing my workflow and (ii) handing the cognitively interesting work off to the LLM so I end up a verifier

Demo repo: https://github.com/shreyashankar/error-discovery-skill

@kitledru 🚀

Really good start today with @sh_reya's first talk, or rather live demo of using the LLM to do error discovery (on writing in this case) and manually annotate user-selected instances of failing text, in a custom web frontend leveraging Claude Code "Monitor" feature so the LLM sees what you do.

All from a simple markdown skill! (Repo link in reply below)

👇 Come join the AI ~~revolu…~~ Product Engineering!

PS: video + slides will be shared in a couple days; just register for free to get those links, and then we can talk about talks here!

@sh_reya Just built a good prototype around this. This is sooooo relevant. And such a strong way to use Codex/Claude Code CLI as part of an Evals as a Service System.

@sh_reya Super excited - thank you so much!

@sh_reya @kitledru I have registered but didnt get any link to join the session