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Shuai Zhang
中文

Writing

Essays on AI monetization, usage-based billing, metering, and the engineering judgment behind revenue-critical systems.

Start with monetization infrastructure. Broader engineering and earlier pieces follow below.

Start here

Editorially selected essays that best show monetization infrastructure thinking—systems judgment, tradeoffs, and reliability—not popularity rankings.

  1. 01

    Building Better Monetization Systems

    Lessons from enterprise billing infrastructure — charge models, rating pipelines, observability, and why flexibility compounds over years.

    AI MonetizationNov 20, 20255 min readEN

  2. 02

    How AI Changes SaaS Pricing

    Traditional seat-based models break down when intelligence becomes the product. Here's what's replacing them — and how to design pricing before your billing stack becomes the bottleneck.

    AI MonetizationJan 15, 20265 min readEN

  3. 03

    Consumption Billing is Eating SaaS

    Usage-based models aren't new, but AI workloads are accelerating the shift from subscriptions to consumption — and exposing gaps in legacy billing stacks.

    AI MonetizationDec 10, 20255 min readEN

Browse by topic

AI Monetization

Pricing, usage billing, metering, and commercial infrastructure for AI and SaaS products.

  • Designing Pricing for Agents

    Agent-native products need agent-native pricing — per-task, per-outcome, and hybrid models for software that acts autonomously.

    AI MonetizationPublished: Oct 5, 2025Reading time: 5 min readEN

Selected Engineering Writing

Engineering practice adjacent to building reliable systems—onboarding, collaboration, and process.

  • An AI-Native Architecture Control System

    We didn't add documentation rules — we built context governance for LLM collaboration: file contracts, module registries, and entropy control at AI velocity.

    Selected Engineering WritingPublished: Feb 28, 2026Reading time: 4 min readEN

  • How Great Engineers Ask for Help

    A pre-escalation checklist and how to ask questions that build trust instead of signaling defeat.

    Selected Engineering WritingPublished: Jul 4, 2022Reading time: 2 min readEN

  • Ramping Up on a New Codebase

    A phased approach: map the system first, know where things live, then dive into code.

    Selected Engineering WritingPublished: May 16, 2022Reading time: 2 min readEN

Archive / Other Writing

Earlier or adjacent notes. Useful context, not the primary hiring signal.

Shorter or earlier pieces—including general AI workflow notes—live here so they do not crowd the primary monetization work.