june-jule

3 ms·

1. 1.▲
   Show HN: GraphDB Decision Tracing and Governance [video](youtube.com)

   1 points by june-jule 3mo ago|0 comments
2. 2.▲
   by june-jule 6mo ago

   HAHA
3. 3.▲
   Show HN: We caught our AI agents self-approving their own work, so we built this(github.com)

   2 points by june-jule 6mo ago|2 comments
4. 4.▲
   by june-jule 7mo ago

   This single invariant changed my entire agentic orchestration architecture. I hope its a jumping off point for more of you and spurs some new ideas :)
5. 5.▲
   Show HN: Governor – Quality gates for AI agents (465 tests, no Deps)(github.com)

   1 points by june-jule 7mo ago|1 comments
6. 6.▲
   by june-jule 7mo ago

   This is interesting. Are you taking in public data sets in order to have your data accuracy or is the data set your using the proprietary advantaged here?
7. 7.▲
   by june-jule 7mo ago

   Interesting demo, how are you thinking about prompt injection and security with web agents? Ive been facing this as well.
8. 8.▲
   by june-jule 7mo ago

   Agree with your notion of context bloat, have you though about the concept of context bundles and GraphDBs? This helped me a ton with limiting context and snapshots based on tooling.
9. 9.▲
   by june-jule 7mo ago

   WHy are we just posting paid context? and the worst viral product since bop-it?
10. 10.▲
    by june-jule 7mo ago

    Interesting. love the concept and super relevant.
11. 11.▲
    by june-jule 7mo ago

    Interesting