Structured proof-of-work intelligence for screenshot-tracked workflows.
This early public access edition is designed for marketing and agency environments where screenshots already capture the work, but managers still carry the burden of interpretation.
The system is positioned as a first-pass operational review layer. It is not dashboard theater. It is not blind automation. It is a disciplined attempt to reduce interpretation burden while keeping human judgment central.
The real cost is not screenshot capture. It is screenshot interpretation.
Trackers already capture the evidence. But managers still need to work out whether billable work was visible, whether the workflow felt continuous, and whether an interval deserves attention before it is framed as progress.
Visible work cues
Surface likely proof-of-work signals inside screenshot-tracked environments.
Continuity awareness
Look for whether the workflow appears to carry forward meaningfully across intervals.
Timestamp and ambiguity framing
Reduce manager burden around missing time cues and uncertain screenshot states.
Review-worthiness
Help route attention earlier when an interval appears to need deeper human review.
A more productized shell for review-aware intelligence.
The shell below presents Nano Triage as a serious operational console rather than a rough demo panel. It is cleaner, more investor-safe, and more aligned with manager-grade interpretation.
Intervals that still warrant manager attention before release.
Current batch remains review-led rather than fully client-safe.
Nano Triage Run Overview
This run mainly reflects time-tracking proof work, with proof-of-work review appearing most often. Across the batch, the dominant operational outcome trends toward likely internal non-billable decisions.
Current shell frames the output as review support, not blind automation.
Analytics Reporting • Review Recommended
No stable OS date or time could be extracted from this screenshot. The screen most likely reflects report review or analysis within an analytics reporting context, with the visible interaction pattern leaning toward passive viewing work.
- Generated: 29/03/2026, 21:45:35
- Florence: microsoft/Florence-2-base
- SigLIP: enabled
- TrOCR: enabled
- Runtime mode: AUTO_REMOTE
Best suited for
Remote support operations
Screenshot-led review workflows
Human QA and performance assistance
Early-stage operational intelligence use cases
A space for intelligent agents enhancing virtual work.
Marketing agency storyboard
Orbital signal atmosphere