hi everyone i just completed day 2 of the #AISChallenge and it was realy cool. one thing that i learned during this process was how mcp server works and was amazed by cloud reasoning and its ability to execute difficult tasks in a structured way. one use cases that i can think of as a student would be to look at the job listing site so my application would be faster, scrape google maps for client outreach, or even scrape a website if i like colour and brand feeling. one question that i was asking myself while learning was how can i recognize if this service has an mcp server, do i just look at the documentation, i'll try to look into that. i would really appreciate any advice u guys have on how to improve and how are u guys using this tool to expand my view and exploring options, any advice is very appreciated, thank you.😁

hi everyone i just finished building my newsletter from day 1 of the #AISChallenge. i learned a lot during this workflow creation how to set up api and how to work with claude, as a beginner im sure there could've been things i would like to improve, but still it was a rewarding experience and felt pretty happy after everything clicked and worked. if i would build this from scratch i would probably give him a specific font or colour since i didnt give him any brand assets since i havent created any. I’d really appreciate any feedback or suggestions on how I can make the newsletter better, personalised more or just how to make it more engaging every advice is very appreciated thank you😀 #AISChallenge.

I'm a co-founder of Glaido, building it with Jack Roberts, Dave Ebbelaar, and Jannis Moore. It's a voice tool built around two things: speed and privacy. Fastest on the market, completely private. It used to be Mac only. It's now on Windows too, so all of you can use it. You get 40% off your first 3 months ($20/mo → $12/mo) with this code: D5J6BIF8K4P Next 30 days only 👉 https://get.glaido.com/nate I switched from Wispr Flow a few months ago and it just felt better. If you're on Wispr, try Glaido free, use the code, and tell me if you feel the difference. If you want to switch back after, no hard feelings. Good to know - Mac + Windows - Snippets: insert any text instantly with one word - Dictionary: save your own words, import straight from Wispr Flow - Agentic Mode: manipulate any text on your screen with your voice - Webhooks coming to Agentic Mode soon (huge) - We action feedback almost immediately Give it a shot and drop your thoughts in the community.

Sooner or later, your automation systems will begin making recommendations. Recommendation systems are automation wrapped in suggestion. They take inputs such as orders, ratings, preferences, timing, location, and similar users. Then they return a recommended next action. In food, that might be a meal, recipe, grocery item, or restaurant. The important design question is whether the system remains a recommendation engine or quietly becomes a decision engine. What does traceability look like in your recommendation workflows? https://creativecooking.blogspot.com/2026/06/tech-tuesday-recommendation-engines.html #Automation #AI #ProcessEngineering

after many months I have finally submitted my capstone project! I have the unlimited sip club from panera, and I go there every single day for my coffee. so I had a great idea... what if I automate my ACTUAL morning coffee? and so I did... after many many prompts to make it work without errors, I can now just tell claude on my phone through remote control, to order my coffee at *panera location* and when I show up my coffee cup is ready for me 🤩 I truly feel as though this is the future for all of us.