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
- MCP & Integrations
Using MCP inside agent workflows without rebuilding billing logic
MCP is not a second billing system — it is the same wallets and rules, exposed as tools. Here is when to use it, how to think about tool design, and how to stay aligned with your SDK path.
Read more - Product
Free vs Growth: where AI billing products should draw the line
Free has to be real enough to build on. Growth has to be worth paying for without feeling like a bait-and-switch. Here is how to draw the line for a credit-billing product.
Read more - Billing
Designing a wallet ledger users can trust
A ledger is a contract with your user: every line should answer what happened, when, and how many credits. Here is how to design wallet history that survives real support tickets.
Read more - 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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