What's New

What changed, why it changed, and what it means for your clinical workflow. Newest releases first.

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0.5.0—March 2026

This is a proof of concept, shared first with close friends. Coherence Workstation is a desktop application for QEEG analysis and interpretation—built to support both the daily work of neurotherapy practitioners and the longer research arc of The Quantified Soul. Everything in this release is new, because this is the beginning. What follows is an overview of what’s here, what works, and where the edges are still rough.

Platform and File Support

Coherence Workstation runs on both macOS and Windows. The Mac build has seen significantly more interactive testing at this point, so that’s where things will feel most polished. The application handles a wide variety of NFX and EDF files—I built a thorough testing pipeline against every recording I could collect and get my hands on. You may find an edge case that slips through, but the foundation is solid.

The Processing Pipeline

Running the full pipeline—eyes open, eyes closed, and ERP—takes roughly ten minutes on a modern Mac. That includes preprocessing, spectral analysis, connectivity, ICA decomposition, and everything else the system computes. ERP processing has been tested with the visual Oddball paradigm; auditory Oddball should work as well, though it hasn’t been put through the same level of hands-on verification yet.

AI Research Assistant

The AI Research Assistant is live across every analysis stage. Look for the “Ask AI” button as you move through the report. This is the feature that will receive the most development investment going forward—what you’re seeing now is early, and the quality of its observations will improve substantially as the prompts and clinical reasoning layer mature. But it’s functional, it’s useful, and I want you to push on it.

AI responses are optimized for Claude and require a Claude API token. It may be possible to use a subscription-based Anthropic account as well, though API access is the tested path.

Clinical Documents and PHI Redaction

You can attach lab reports or neuropsychological evaluations to a subject’s record under “Clinical Documents.” The system will redact personally identifiable health information automatically—try it and see how it handles the documents you work with. This is an early capability, but it’s functional and worth exploring.

The “Mark Finding” Workflow

This is the beginning of something I’m particularly excited about. As you move through the analysis, you can mark specific findings—flagging evidence as you encounter it. The intention is that these collected findings will eventually feed into a synthesized, interactive, stand-alone report suitable for sharing with clients. That synthesis layer isn’t complete yet, but the evidence-collection workflow is live and worth getting comfortable with now.

Crash Reporting and Privacy

Crash reporting is enabled, and the system is also configured to send non-fatal errors back to me. Per the disclaimer you’ll see on first launch, these reports contain only runtime data. All file names—including subject names—are redacted before anything leaves your machine. EEG data is never transmitted. I need to see what breaks, but I have no interest in seeing who you’re working with.

What’s Not Here Yet

The AI Research Assistant is available everywhere but still early—expect the depth and precision of its observations to evolve significantly. The “Mark Finding” workflow collects evidence but doesn’t yet synthesize it into a client-facing report—that’s a major upcoming milestone. Auditory ERP paradigms should work but haven’t been tested as rigorously as visual Oddball. And Windows, while supported, hasn’t had the same depth of interactive testing as macOS. If you hit something odd on Windows, let me know—that’s exactly why I’m sharing this now.