- Focus
- Learning workflow over chat UX
- System
- Retrieval, storage, typed frontend
- Outcome
- Searchable knowledge experience
Context
Linky started with a small but useful prompt: what if one URL could become a structured place to learn, not just a one-off chat input.
I wanted the project to show both retrieval quality and a calmer product experience, since many AI demos only prove the model call and not the interface around it.
Build
The product flow stayed intentionally simple: start with a URL, ingest the source material, and turn it into a knowledge layer that supports exploration instead of generic answers.
Under the hood, the stack paired retrieval, storage, and a typed frontend so the project felt like a usable tool with real product decisions behind it.
Takeaways
The prototype showed how ingestion, retrieval, and interface design can reinforce each other when the product starts with a clear learning workflow.
It also became a stronger write-up because the product decisions and technical implementation could be presented with the same level of clarity.