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One technical lesson from building Skej: scheduling is not a calendar UI problem. It’s a state-synchronization problem.
A scheduling assistant has to coordinate:
• Gmail and Outlook conversations
• Multiple calendar providers
• Personal availability preferences
• Time zones and more than 80 languages
• Reschedules, cancellations, and participant notifications
The architecture became much cleaner once we separated three responsibilities:
- The conversational layer interprets what the user wants.
- The scheduling engine calculates availability and applies rules.
- Provider adapters handle calendar and email differences.
We also treated every meeting as an explicit lifecycle—proposed, confirmed, rescheduled, or cancelled- so repeated integration events could be handled safely.
The takeaway: let AI interpret intent, but keep calendar changes inside deterministic, testable workflows.
That separation makes integrations easier to extend and scheduling behavior far more dependable.
#AIEngineering #SystemDesign #NodeJS #NextJS #SaaSDevelopment
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From conversations to follow-ups.
The core workspace of Rectraa — where extracted leads, conversation context, intent, and contact information come together in one place.
But collecting leads is only the first step.
Rectraa also helps you take the next one — send personalized email follow-ups directly from the extracted data.
Upload a conversation. Extract the lead. Understand the intent. Follow up. Keep the conversation moving.
The design challenge was to make a data-heavy workspace feel simple enough to actually work from, not just look at.
Turn conversations into leads. Then turn leads into conversations.
Building Rectraa, one screen at a time.
Check it out: rectraa.com
Good job
My X feed filled up with people shipping little games with the new Astra model.
When I finally got access, I started one of my own.
I made three concept images in ChatGPT first. Neon arena. Industrial pit. The kind of Smash TV energy I grew up on. Then I handed those to an agent and let it build.
What came back was playable faster than I expected. Twin-stick arena shooter. Short runs. Waves. A boss. Browser, mobile and desktop.
The first prototype took about 30 minutes and everything after has been fine tuning the gameplay and polish.
The first iterations were too easy, so I cranked up the difficulty which helped a lot.
Bolt Pit is public now if you want to try a run:
I'm working on porting it to Unity now also as I want to take advantage of the unity engine.
this is amazing
it blows my mind what you can achieve now with AI
Currently working on a SaaS platform called Serveo ( My own Project )
In which I'm planning to give all kinds of business some AI integration and later on WhatsApp Chat AI integration.
Used technologies: .NET, Entity Framework Core, React with Js, Tailwind CSS, HTML, AI agent for speeding up the development.
So currently I'm open for work so that I can have some side income.
My past project : visit KhelOne.in
I'll upload pictures of my work later on!
khelone.in
KhelOne | National Track & Field Athletics Platform
Discover athletics meets, verified results, national records, athlete profiles, clubs, coaches, officials, and venues across India.
Good luck with it! When you think about starting to market it , I'd love to help!