Insights.

Long-form analysis for technical founders, CTOs, engineering leaders, and the investors backing them. Decision frameworks, not listicles. Real numbers, named comparables, specific architectural trade-offs.

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Software EconomicsJun 12, 20266 min read

AI feature pricing: how to charge for model-powered features

AI feature pricing is the single product decision that turns model cost into a revenue stream rather than a P&L leak. Charge by tokens and you compress margin; charge for value and you can capture 2x–4x more revenue from enterprise buyers while keeping per-user adoption predictable.

Insights.

AI feature pricing: how to charge for model-powered features

Fine-tuning vs prompting: when to train models

Design tokens pipeline: build vs. buy for cross-platform systems

multi-tenant data isolation: schema-per-tenant vs row-level

Engineering bench strategy: when to staff vs. contract

Model serving architecture: cost, latency, and routing tradeoffs

Session replay build vs buy: 3‑year TCO and privacy tradeoffs

Design system implementation: when to build vs buy

Cloud egress costs: architecture patterns and tradeoffs

Rewrite vs Refactor frontend: a decision framework

Vector database build vs buy: 3‑year TCO and recall tradeoffs

Event streaming architecture: Kafka vs. Kinesis vs. Pulsar

Internal developer platform ROI: a 3‑year TCO framework

Webhook delivery build vs buy: a 3-year TCO framework

Progressive hydration: tradeoffs, cost, and when to ship it

RAG caching strategy: cut model spend and latency

Workflow orchestration build vs buy: Temporal, Step Functions, Airflow

Serverless Postgres vs managed Postgres: Neon, RDS trade-offs

Design system governance: rules for design tokens at scale

MVP web stack: Next.js vs Remix vs SvelteKit

Consent management platform: build vs buy framework

Model monitoring platform: build vs buy for production AI

Edge compute architecture: when to run business logic at the edge

Usage-based pricing: when to adopt and how to model revenue

Feature store build vs buy: a practical TCO framework

Data residency compliance: architecture, costs, and tradeoffs

Microfrontend architecture: split the frontend or keep a monolith

Audit logging platform: build vs buy decision

Model selection at runtime: cost-aware routing for production AI

Billing observability: architecture for accurate metered SaaS billing

Feature flag platform: build vs buy decision framework

Search as a Service vs Build: a 3‑year TCO framework

Agent orchestration: scalable patterns for production agents

Outsourced engineering costs: compare T&M, fixed-bid, retainers

Identity platform build vs buy: when to roll your own

Production RAG architecture: vector store, evals, cost

Cross-platform mobile strategy: React Native vs Flutter vs native

Multi-tenant architecture: schema-per-tenant vs row-level isolation

Custom AI feature cost: how to budget and decide

Design system adoption: engineering cost, rollout, and ROI

SaaS billing platform: build vs buy for B2B products

Model evaluation pipeline: metrics, costs, and rollout

Next.js server components: when to adopt and when to avoid

Cloud egress optimization: how to cut network charges