Researching how knowledge work should feel in the AI era.
Rhalla explores context, continuity, and calm tools for professionals who already live inside AI workflows — especially across more than one model.
Currently building Rhemi, our first product. This public face stays research- and company-first.
Reading & notes
External essays and research we keep returning to — especially multi-model handoffs and continuity. Each link opens on the publisher’s site; authorship and ownership stay with them. Rhalla notes are ours only.
Focused
The Continuity Layer
Why intelligence needs an architecture for what it carries forward — beyond flat memory APIs.
Also on the desk
Where Your Context Lives
Knowledge accumulates; working state supersedes — harness-agnostic continuity for multi-model fleets.
Effective context engineering for AI agents
Treats context as a finite attention budget — curation, compaction, and note-taking outside the window.
Dreaming: Better memory for a more helpful ChatGPT
How background memory synthesis fights staleness and keeps continuity across conversations.
More
How we built our multi-agent research system
Orchestrator–worker research: parallel subagents, compression at handoffs, and citation discipline.
The huge potential implications of long-context inference
Why longer contexts matter for continual learning — and why coherence still breaks before the limit.
How we think
Clarity over noise. Continuity over fragmentation. Human judgment over hype.
Clarity over noise
Fewer promises. More signal.
Continuity over fragmentation
Work should travel with you — across sessions and models.
Human judgment over hype
Tools that respect professionals.
Long-term usefulness
Not trend-chasing.
Why Rhalla exists
Modern knowledge work is increasingly shaped by AI, but the experience is still fragmented. Context breaks when you switch models. Continuity disappears between sessions. People adapt manually where tools should carry more of the load.
What we’re exploring
- How people lose context across AI tools and models
- Why knowledge work still feels fragmented
- What trustworthy human–AI collaboration should look like
- How software can reduce cognitive load instead of adding overhead
Current focus
Research-first
Studying context loss, continuity, and human–AI collaboration across tools and models.
Trust-first
Clear, calm messaging over hype and noise.
Product direction
Building Rhemi for people who already work across multiple AI systems.
Rhemi
First product from Rhalla Inc. Soft-quote HOLD — interest-only. No prices or offers here.
A calm bridge for AI-heavy professionals
For people who already use multiple AI tools and want less friction and stronger continuity across them.
The fuller product story lives on a private host when authorized. This page stays research-first.
Register interest in Rhemi
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Contact
Reach Rhalla Inc. directly. Soft-quote HOLD — no sales funnel here.