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March 1st, 2026

Continuous Verification Architecture & Local DB Normalization Today’s focus was on refining the continuous verification mechanics we introduced yesterday. We simplified the checkpoint boundaries for “Stay Throughout” tasks and fully normalized our local SQLite offline database.

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1. ‘Stay Throughout’ Continuous Verification Architecture

We heavily refined the “Stay Throughout” continuous checking architecture to be robust and scalable:
  • Root-Level Random Checkpoint Mapping: Restored root-level random checkpoint generation mapping for continuous task verifications. We deliberately un-nested checkpoints from the Master Conditions, ensuring scalable 1:N checking for specific snapshots without causing runtime state collisions.
  • Timezone Fixes: Resolved frustrating server-timezone optical illusion bugs where developers saw UTC outputs in localized timestamp strings. Fixed this by explicitly forcing { timeZone: 'Asia/Kolkata' } on backend generators.
  • Tally Tracking: Built aggressive client-side missed tally tracking. The UI now visually displays Green, Yellow, or Red indicators accurately derived from both explicit fails and implicit window timeouts vs allowedMisses.
  • Extensive Architectural Specs: Added highly detailed, production-level architectural comments across schema.ts and verify.ts.
  • Default Payload: Populated the stay_throughout default payload with “relaxed intensity” and 1 allowed miss out of the gate, providing a balanced initial user experience.

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2. Simplified Checkpoint Boundaries

  • Strict Chunk Alignment: Changed the stay_throughout checkpoint logic to strictly align start and end times exactly with the generated 5-minute chunk boundaries themselves. We removed confusing random sub-offsets and grace periods within these slices.
  • Logic Simplification: This drastically simplifies the random verification logic by demanding a single check-in across that exact entire 5-minute slice rather than dealing with micro-windows.

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3. Local DB Normalization & Native Scheduler UI Recovery

We brought the finalized structures securely into the native storage layer.
  • Offline Checkpoint Tracking: Fully normalized the task_instances offline local database schema, directly baking in complete offline checkpoints tracking for disconnected states.
  • Persistent Checkpoint Alarms: Implemented persistent native checkpoint alarms so the Android OS wakes up exactly for continuous bounds check-ins.
  • UI Recovery: Implemented persistent checkpoint UI recovery for continuous check-in bounds, ensuring users don’t lose context after app refreshes or background states.