Developer notes
Thoughts on AI billing, credits, pricing intelligence, and monetization
We write about the hard parts of AI monetization: metering, pricing, credits, and product strategy. Operator notes, implementation guides, and product thinking from the team building Chargly.
Product · Billing · Pricing Intelligence · MCP & Integrations
Latest articles
- Product
What a good AI billing dashboard should show
Your billing dashboard is for operators: usage, economics, and pricing decisions — not a second copy of the provider console. Here is what to surface first, and what to defer.
Read more - Billing
Stripe credit packs: how to package top-ups users actually buy
Credit packs are a product, not a database row. Here is how to name, size, and price packs so Stripe Checkout feels obvious — and wallets stay in sync without manual work.
Read more - Pricing Intelligence
How to price AI chat, image, and agent actions with credits
Credits let you price chat, images, and agents in one language users understand. Here is a practical way to set first costs, stay margin-aware, and refine without exposing token math.
Read more - Billing
How to define billable events in a credit-first AI app
Name events after what users did — chat reply, image, summary — not tokens or providers. Here’s a practical way to choose boundaries, keep wallet history readable, and stay flexible when models change.
Read more - MCP & Integrations
SDK vs MCP for AI billing: when to use each
Use the SDK when your app owns the billing flow. Use MCP when agent-native workflows need billing and pricing tools inside the tool layer.
Read more - Billing
Metering AI usage without token chaos
Why AI products should meter user-facing events, not raw token counts — and how credits create a cleaner pricing model.
Read more - Product
Introducing Chargly: Credit-first AI billing for modern apps
Why we built Chargly to help AI products charge in credits instead of exposing raw token economics.
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