Capture evidence. Review. Act.
For macOS and Windows software teams turning what they see on screen into reviewed work for GitHub, Linear, Slack, or an AI/coding agent.
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Capture
■ Refunds
- Region capture · one shortcut
- Selected text · OCR
- “Legend covers the last two bars — file it.”
- App context · Chrome · acme.app
One shortcut. Scoped by you — not ambient recording.
Review the capsule
- evidence.png1440×900 · region
- ocr.txt2 lines · 1 redacted
- intent.mdvoice → text
- provenance.jsonapp · url · time
Revenue (wk 27) ▲ 4.1% · legend: Refunds
reported-by: [redacted]
Markdown + JSON on disk. Local until you send.
Act
Legend overlaps bars below 1280px
Repro: shrink the Revenue card — the legend covers the last two bars. Expected: legend clears the plot area.
Generated draft — original evidence attached unchanged.
Nothing leaves your machine until you approve.
Same capsule, destination-ready. You approve every handoff.
How Optvera works: 1. Capture — one shortcut grabs a scoped screenshot or region, selected text or OCR, a short voice or written intent, and app context. 2. Review — everything is packaged as a local capsule of Markdown and JSON files you can inspect and redact. 3. Act — the reviewed capsule becomes a draft GitHub or Linear issue, Slack post, or AI coding agent prompt, and nothing is sent until you approve it.
Optvera is a deliberate first-mile evidence layer for AI-forward software teams on macOS and Windows. It turns a scoped screen capture, selected text/OCR, short voice or written intent, and app context into a reviewed action for GitHub, Linear, Slack, or an AI/coding agent. Unlike ambient screen-memory tools, screen recorders, or destination-native issue creation, Optvera focuses on evidence and intent before anything is shared.
Built for the handoff
Give the next tool the context to act
Scoped evidence capture
Capture an active window or region with selected text/OCR and optional short voice or written intent.
Reviewable capsule
Package the capture, intent, available provenance, and destination-ready structure in local Markdown/JSON.
Action drafting
Review a draft for an agent prompt, GitHub or Linear issue, or Slack post while keeping original evidence separate from generated text.
Pre-send control
Review and redact before external sharing, with deletion/retention controls and app/site exclusions where implemented.
Focused output paths
Prepare agent-ready copy/export plus GitHub, Linear, and Slack routing outcomes under validation.
A deliberate first mile
From what you saw to reviewed work
Capture what matters
Use one shortcut for a screenshot or region, selected text/OCR, and short voice or written intent.
Review the capsule
Inspect the evidence and intent, then redact or control what is shared.
Prepare the action
Create reviewed work for GitHub, Linear, Slack, or an AI/coding agent.
Bring better evidence to the handoff
Join macOS and Windows teams helping validate deliberate, reviewed screen-evidence-to-action workflows.