Choose your context
Browse project files and decide what gets included before an AI request.
MADE AT STONEVELD · SHARED WITH YOU
Open Tools & Experiments
Some things are better when you can look under the hood. Here's where we share software we're building, testing and learning from — including the source code.
FEATURED PROJECT · DESKTOP SOFTWARE
RAG Trigger Studio
Get your project context ready before sending it to an AI.
Pick a project folder, choose what belongs in your context, check the token budget and inspect the operational checks. RAG Trigger Studio is a local-first workspace designed to help developers stay in control of what they send.
Public source repository · Developer/testing project · No paid version offered here yet
WHAT IT HELPS WITH
Less guessing. More visibility.
Check before sending
Token accounting, configured secret redaction and a deterministic operational kernel help you inspect the run.
See what happened
Review diagnostics, session feedback and optional local operational audit evidence.
Redaction helps with common secret-like values but cannot guarantee every secret is caught. Local-first doesn't mean every configured AI provider is offline.
MORE TO COME
Still building. Still sharing.
As other tools are ready for public testing or release, we'll give them a home here too. For now, you can explore RAG Trigger Studio and follow development on GitHub.
Get in touch →