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SIFT v0.5.0

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@github-actions github-actions released this 11 Jul 02:41
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v0.5.0
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Learn about vigilant mode.

SIFT v0.5.0

Version 0.5.0 adds an optional research-based Big Five profile and an AI one-click outcome preview while preserving the locked, local review engine.

What changed

  • Added the public-domain Johnson (2014) IPIP-NEO-120 as an optional profile-building path. The 120-item assessment typically takes 15–20 minutes and reports five broad domains plus 30 facets.
  • Assessment results use 0–100 response-scale positions, not population percentiles, and are labeled for self-reflection and idea personalization—not diagnosis, hiring, or other consequential decisions.
  • Added AI one-click preview. A connected model can generate ideas when needed and propose values for unanswered claims and unresolved gates; a local profile-priority formula selects among saved exploration estimates when the user has not already chosen an idea.
  • The locked local engine calculates those proposals in an isolated review copy and displays a clearly provisional outcome. The model does not calculate or control the deterministic formula.
  • Kept Guided review as an alternative for users who want to move through and approve each checkpoint themselves.
  • Fixed the Quick Run progress connector so lines no longer cross step labels or markers.

Integrity and privacy

  • A one-click preview never mutates the live review, overwrites existing human decisions, fabricates or verifies evidence, or turns an evidence-free result into an official decision.
  • If the review route is unresolved, the preview may derive it from the chosen idea’s declared Xahau/Evernode route. The preview shows that provenance, and the derived route exists only in the isolated copy.
  • The scoring rubric, 51 claims, weights, caps, floors, evidence validator, and gates are unchanged. Personality results affect idea personalization, not deterministic review scores.
  • Unfinished questionnaire answers exist only in the current session's sessionStorage. Raw answers are not saved to the project, included in exports, or sent to an LLM as profile context.
  • Only the derived assessment result is saved locally after the user applies it. Exact derived scores are included in connected-model prompts only when the user explicitly opts in; a cloud provider receives them only under that opt-in.
  • Cloud Quick Run confirms before sending its operation-specific context. Ollama and LM Studio continue to run on the local machine.

Downloads

  • Windows 64-bit installer and portable executable
  • macOS 12+ DMG and ZIP for Apple silicon (arm64)
  • macOS 12+ DMG and ZIP for Intel (x64)
  • SHA256SUMS.txt for release verification

The Windows and macOS packages are currently unsigned. Verify the checksum before opening them. Windows may show an Unknown publisher warning, and macOS may require right-clicking the app and choosing Open.

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