This project wasnât about adding more visual noise, it was about creating a focused, modern real estate experience that guides users naturally toward action.
Key priorities during the build:
⢠Clean, premium visual hierarchy
⢠Fast, responsive Framer performance
⢠Scan-friendly...
During Juno RAGâs build, it became clear that embeddings alone donât guarantee trustworthy answers. High cosine similarity can still surface partially relevant or context-drifted chunks.
To address this, the pipeline was engineered with:
Every RAG project looks straightforward until retrieval quality is tested in the real world.
While building Juno RAG, the biggest challenge wasnât generating answers, it was making sure the answers were actually grounded in the clientâs data.
Hiring doesnât slow down because teams lack candidates.
It slows down because evaluation doesnât scale.
So I engineered an enterprise-grade AI recruiting platform that automates the entire funnel, from resume parsing to intelligent video interviews and real-time hiring analytics.
Most browser automation breaks the moment the UI changes.
Thatâs the problem I built ActionFlow to solve.
Instead of fragile scripts, it records real interactions and converts them into structured, reusable workflows with variable injection, MFA checkpoints, execution logs, and...