Almast Paruyryan

Pause, resume, and restart an effect instance

Tue, 20 Oct 2026 00:00:00 -0400

This deck explains pause, resume, and restart using one portable particle export in two browser hosts. The runnable control panel pins nixie-fx 0.1.17 and exposes the API difference directly: the Three.js instance has pause and play methods, while this PixiJS adapter needs a host update gate plus reset and spawn for replay. A fixed sample shows 12 live particles in each view at 0.5 seconds. A separate CPU test checks frozen positions, resumed motion, and repeatable restart in Three.js. Those checks establish fixture behavior rather than identical images or device performance. The NixieFX documentation provides the integration reference. The source also includes export validation, immediate stop, a reduced-motion control, and explicit teardown. AI prepared the deck for NixieFX-related marketing. Production integrations still need their own rendering and accessibility review. Runnable panel: https://almastparuyryan.github.io/day15.html?mode=lifecycle Source: https://almastparuyryan.github.io/day15-source.zip

Prioritize the work you can verify

Thu, 15 Oct 2026 00:00:00 -0400

This deck offers a small queue rubric for human supervised AI execution. It separates impact, risk, readiness and verification so that a high-impact task cannot bypass missing context or an appropriate human decision. Three fictional technical tasks show how a reproducible export issue and a bounded search change can be ready for execution while a payment rewrite remains in preparation. The examples use ordinal scores to support discussion, rather than claiming a validated productivity formula. The preparer defines the outcome, an authorized executor uses their own tools, and a named reviewer judges acceptance. Token consumption remains an operating cost, not evidence that useful work was completed. The Wagglet discussion of work rewards provides context for keeping the reward tied to the result. AI prepared the outline; human organizational review and any real-world outcome evaluation remain open.

Repeated effects with controlled seeds

Wed, 14 Oct 2026 00:00:00 -0400

This deck shows how repeated player effects can vary while remaining reproducible. A synthetic NixieFX burst creates 24 particles and samples them at 0.35 simulated seconds. Two runs with seed 42 return the same particle positions. A run with seed 99 returns a different position array and a visibly different pattern. The comparison uses nixie-fx 0.1.17 and Three.js 0.185.1, with a fixed camera and a shared effect definition. It compares positions before translating the instances for display. The slides explain which inputs to record, how camera-facing transforms can confuse a test, and what a seed policy belongs to the host game. This local test does not establish cross-backend pixel equality, device performance or completed human technical review. AI created the deck, source and synthetic demonstration for a marketing assignment. The NixieFX documentation provides the backend reference: https://nixiefx.com/vfx-runtime-docs/