brylie
Finland sets tougher guidelines: No social media or smartphones for under-13s
Agentlink: Sync AI agent configs across tools
Protecting the Developing Mind in a Digital Age: A Global Policy Imperative
Faster Dashboards with Multi-Column Approximate Sorting
My co-founders and I are building an AI assistant that helps immigrants navigate Finnish bureaucracy. As immigrants, we've experienced firsthand how fragmented and inaccessible essential information can be, scattered across Migri, Kela, the tax office, and municipal websites, often only in Finnish and Swedish.
We're using RAG (Retrieval Augmented Generation) to create a multilingual chat interface that connects people to official resources rather than replacing them. The system reduces "failure demand" - support requests that arise because people can't achieve their goals through existing resources.
The technical approach is a multi-agent system in which specialized AI agents handle different domains (immigration law, employment, housing, healthcare, etc.). We've named the agents after Finnish mythological figures (such as Tapio, Ilmarinen, and Sampo) to create a cultural connection while providing practical assistance.
Interestingly, this addresses a systematic problem - government agencies spend significant resources on repetitive support that could be automated. At the same time, immigrants get frustrated trying to piece together information from multiple sources.
We're exploring B2B opportunities (companies relocating employees, municipalities, healthcare systems recruiting internationally) and EU funding for integration technology.
Happy to share more details or get feedback from anyone who's worked on similar multilingual AI systems or government-facing tools.
Why, in 2025, do we still need a 3rd party app to write a REST API with Django?
Context7: Up-to-date documentation for LLMs and AI code editors
Plain – a web framework for building products with Python
Pixi – powerful development environments on Windows, macOS and Linux
The developer experience is top notch with excellent documentation and many common concerns already handled by Wagtail or Django. A significant amount of Wagtail-specific code is declarative, essentially describing data model, relationships, and UI fields. The parts that you don't need stay out of the way. It's also agnostic of the type of front-end you want, with full and automatic support for headless mode with JavaScript client, using traditional Django templates SSR, or using a dynamic approach like HTMX.
Kudos to the Wagtail team!
Gemma3 – The current strongest model that fits on a single GPU
I agree about shorts. I’ve repeatedly “removed” them by clicking “less like this” under the ellipsis next to the Shorts heading, but they keep coming back. I’ve also submitted UX feedback about this customer hostile (I pay for YouTube premium) pattern. It’s frustrating when features like this are force fed to you.
As an aside, it's sad about KSP2. We need a good, open-source space simulator in the spirit of KSP, which has incredible enthusiasm in the modding community.
Google Docs with Gemini: https://support.google.com/docs/answer/14355406
Affine AI: https://affine.pro/
Langchain AI Open Canvas: https://github.com/langchain-ai/open-canvas