Product blog

Product blog

Product updates, field guides, and field notes—each with links to docs and the hub where relevant. High-level milestones also appear on the changelog.

  1. A side-by-side of a JPG photograph and a PNG logo with transparency, showing where each format wins

    Field guide · Jun 6, 2026

    JPG vs PNG: when to use which

    The core difference between JPG and PNG, when each wins, why transparency is the dividing line, and a simple rule for choosing every time.

    • Photos → JPG
    • Graphics & transparency → PNG
    • A simple decision rule

    NSS Background Remover

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  2. Two loading experiences for the same duration — a blank spinner that feels slow versus a skeleton screen with instant feedback and optimistic UI that feels fast

    Field guide · Jun 6, 2026

    Perceived performance: skeletons, optimistic UI, and the feel of fast

    Why perceived speed diverges from measured speed, the toolkit for closing the gap (instant acknowledgement, skeleton screens, optimistic UI, progressive and prioritised loading), when each technique helps and when it backfires, and the honesty line you must not cross when making slow things feel fast.

    • Felt speed vs measured speed
    • Skeletons & optimistic UI
    • The honesty line

    Novus Stream Solutions (hub)

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  3. A bar chart comparing in-browser AI model download sizes across Fast, Balanced, Best and frontier tiers

    Field guide · Jun 6, 2026

    How big are in-browser AI models (and why size matters)

    Why an on-device model is tens to hundreds of megabytes — and why that download is worth it.

    • ~80 MB Fast, ~180 MB Best
    • Downloads once, then cached
    • Size is the price of privacy

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  4. Parallel investigation agents mapping different facets of a problem before any implementation begins

    Field guide · Jun 5, 2026

    Running a multi-agent research sprint before touching code

    How to use parallel agents to understand a problem completely before changing anything, and why that front-loaded research pays for itself on large work.

    • Research as its own sprint
    • Parallel investigation agents
    • Research-first beats patch-first

    Engineering

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  5. A large refactor decomposed into self-contained units backed by durable artifacts rather than held in working memory

    Field guide · Jun 5, 2026

    Managing the context window on a large refactor: what broke and how we fixed our sessions

    A workflow lesson, not model marketing: how to structure a large refactor so it survives the limits of what can be held in working context at once.

    • The whole problem won't fit at once
    • Structure work into self-contained units
    • Durable artifacts over live memory

    Engineering

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  6. Three model tiers — Lite, Standard, Pro — with their real download sizes and hardware requirements

    Field guide · Jun 5, 2026

    Honest AI tiers: Lite, Standard, Pro — sized in gigabytes, not hype

    Why naming real model sizes and recommending a tier your device can run beats promising everyone the heaviest model.

    • Lite 0 / Standard ~400MB / Pro ~2GB
    • recommendTier() probes WebGPU + memory
    • Delete downloaded weights any time

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  7. The honest workflow of building a marketing site with Claude Code: division of labor and guardrails

    Field notes · Jun 5, 2026

    Building a marketing site with Claude Code: the honest workflow

    A grounded account of building a marketing and content site with Claude Code: the code-as-content architecture that fits, where AI assistance genuinely helps, where it needs a human, and the quality guardrails that keep it from producing slop.

    • Honest division of labor
    • Code-as-content fits AI
    • Guardrails against slop

    Novus Stream Solutions

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  8. An Etsy listing grid showing strong square thumbnails and a converting photo set

    Field guide · Jun 5, 2026

    Etsy product photos that convert

    What Etsy buyers respond to, the image specs and square-thumbnail rule, the mix of lifestyle and detail shots that converts, and how to prep it free and on-device.

    • The thumbnail earns the click
    • Lifestyle + scale + detail mix
    • Consistent, free, on-device

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  9. The dropshipping order flow — customer to store to supplier to customer — with the store never touching the product and the margin split shown honestly

    Field guide · Jun 5, 2026

    Dropshipping, honestly: how the model actually works

    What dropshipping actually is, where the money goes, the real advantages (low capital, no inventory), the real problems (thin margins, no control, slow shipping), and an honest read on who the model suits and who it does not.

    • How it really works
    • Where the margin goes
    • Who it actually suits

    Novus Stream Solutions (hub)

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  10. A no-code flow with a retry-with-backoff loop, a dead-letter path, an alert router, and a human-in-the-loop fallback

    Field guide · Jun 5, 2026

    Error handling and alerts for no-code flows

    How to handle errors in a no-code or low-code flow without drowning in alerts: backoff, dead-letter handling, quiet-but-trustworthy alerting, and knowing when to fall back to a person.

    • Retries with backoff, not blind hammering
    • Dead-letter handling for the unsavable
    • Alerts you will actually read

    Novus Stream Solutions (hub)

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