Inspiration
Always found myself manually going to different sources on webs and trying to be on top of every new things that are happening in my fields of interests, and also saw many professions where people have to keep themselves updated according to their topics or interests and try to be one of the earliuest people to know when new update happens. so Though of automating this lengthy lab our intensive task
What it does
AyeWatch AI is a multi-agent ai system that helps users create smal small AI Monitoring agents that monitors the entire internet for your given topics or webpages and sources and alerts you via our Mobile App as soon as something new happens or your personalized set alert criteria matches the updates
How we built it
We Create a scalable multi-agent ai system with an efficient events system that can continously monitor internet. We used React native for android and ios apps. Nextjs for backend and AWS or computation infra. Used AI Models like GPT-5 Openai, Gemini etc as per need. Used Revenuecat for allowing users to subscribe and also buy in-app credits.
Challenges we ran into
Two major challenges:
- Able to accurately train agent to be able to notice the difference in information and know when to notify and when not to
- In-app purchases which were eased by revenuecat
Accomplishments that we're proud of
Were able to ship entire functions AI Agents system and App is live on app store. Fully functioning. With few paid users already onboard without even marketing.
What we learned
- AI Agents multi orchestration
- Revenuecat makes it super easy to setup and manage everything in-app purchses
What's next for AyeWatch.ai
- Scale to TAM and add more monitoring features and capabilities for AI to be more efficient in monitoring
Built With
- ai
- amazon-web-services
- generative-ai
- javascript
- llm
- nextjs
- postgresql
- react
- react-native
- revenuecat
- typescript
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