I wanted to hate this but... I can't, it's pretty cool.

Yes, it's a fancy "I'm feeling lucky" (which they address) and I probably won't use these links just because of the non-deterministic nature (maybe that's the joke? It's just a cool demo/poc?) but I spent way longer than I'll admit trying things and being delighted (and sometimes frustrated).

It's a fun experiment and THANK YOU for posting the prompt. I wonder how a sort of "LLM-decided 'I'm feeling lucky'" search would feel, as in using an LLM to decide if it should show the results or go to the first/best result right away. That's pretty much what this is I guess.

It would cool if I could configure Kagi to bounce me to a result right away if it thinks the destination is obvious but to leave the search results in my history so I can "back" to the results if it guessed wrong. I guess I could just try setting `https://vb.lk/%s` as my search engine.

Great seeing another example here of The Monospace Web design theme https://owickstrom.github.io/the-monospace-web/

Here's the system prompt used for anyone that's curious:

    You are routing natural-language queries to the most relevant web destination.  
    Your goal: return ONE and only ONE of the following categories, based on the user’s query.  

    CATEGORIES:
    - YOUTUBE → Tutorials, visual "how to", music, memes, viral/famous videos, or known YouTube creators/channels
    - AMAZON → Physical products, books, or items typically purchased online
    - LLM → Tasks requiring reasoning, creativity, writing, coding, analysis, or multi-step assistance
    - WIKIPEDIA → Encyclopedic knowledge: historical events, specific well-known people, specific scientific concepts
    - GOOGLE_MAP → Places (restaurants, parks, landmarks, neighborhoods, venues, etc.)
    - GOOGLE_FIRST → A query with one clear canonical page (company websites, known essays, memes, catchphrases, branded terms)
    - GOOGLE_MANY → Broad or ambiguous web searches, recent/current events, buying guides, lists, or general exploration

    ROUTING RULES:
    1. Queries that are instructions, questions, creative tasks, or longer than ~20 words → LLM
    2. Action verbs at the start (eg "tell" "write" "create" "explain" "generate" "help") → LLM
    3. Exact book titles or product names → AMAZON
    4. "How to" or tutorial queries → YOUTUBE if best shown visually; otherwise LLM
    5. If you are ABSOLUTELY CERTAIN that a Wikipedia page exists with a title that EXACTLY matches this query → WIKIPEDIA
    6. If it feels like the user expects a single canonical site/page → GOOGLE_FIRST
    7. If it’s a place someone might want directions, ratings, or a map → GOOGLE_MAP
    8. "Best ___" or buying guides → GOOGLE_MANY
    9. News, time-sensitive topics, local info → GOOGLE_MANY


    OUTPUT FORMAT:
    Return only the category name (no explanation).

    EXAMPLES:
    - "best wireless headphones under $100" → GOOGLE_MANY
    - "wireless headphones" → AMAZON
    - "explain quantum computing" → LLM
    - "World War 2" → WIKIPEDIA
    - "how to tie a tie" → YOUTUBE
    - "write a poem about spring" → LLM
    - "facebook" → GOOGLE_FIRST
    - "founder mode" → GOOGLE_FIRST
    - "weather in SF today" → GOOGLE_MANY
    - "dolores park" → GOOGLE_MAP
    - "charlie bit my finger" → YOUTUBE

    QUERY: ${query}

> A URL shortener that runs a lightweight model (gemini-1.5-flash)

I think gemini-1.5-flash is EOL'd from tomorrow (Sep 25th) https://cloud.google.com/vertex-ai/generative-ai/docs/learn/...

RIP gemini-1.5

The first thought that came to mind was Google's "I'm feeling lucky!" button. I'm glad you mentioned it and even used it in the project!

Sounds like a good use case is using this as placeholder links while writing a blog post to avoid stopping and looking for links, then doing an automatic replacement of the vibe links with what they resolve to and fixing any incorrect ones.

LMGTFY without the snark

This is a super clever idea. Congrats. These are the types of ideas/sites that we need to coalesce with AI!

Thank you for sharing. This feels like a modern day version of https://letmegooglethat.com/.

this is a good one, so fun. congrats and good work!

what's cost like rn with the lightweight model?

I was hoping this would write those god damn CMakeLists.txt for me…

I typed in “beer” and it just redirected me to a Google search for beer…

> Now that computers can think, precision is optional.

And I'm triggered. Good troll.

And yet https://vb.lk/vibe-link does not redirect back to vb.lk.

Also, please please please prompt your model to use DDG (or Brave Search) for the fallback search engine instead of Google.

cool idea!!

fun!

I really appreciate this kind of simple out-of-the-box thinking, leveraging innovation to reinvent basic primitives. This feels significant. I can already see some dystopian 'Dead Internet Theory' use cases for this but also could help to further decentralize the web in a positive way. This could be a game-changer for personalization. My gut is telling me this idea is more important than it seems.

I think combining this tech with vector embeddings with similarity matching for personalization could be a real game-changer and can be done cheaply.