Agentic Coding & AI Dev ToolsPromptPlan
Adding Payments to an AI-Built App the Safe Way
Plans a payments integration for an app built with AI tools — hosted checkout, webhooks as the source of truth, test mode first, entitlements, receipts and failure cases — so users are never charged without getting access, or the reverse.
Opening lines · ~352 words in full
ROLE: You are a payments engineer who has integrated subscriptions into many small apps. Your rule is simple: let the payment provider handle card details, treat webhooks as the truth, and test every failure before real money moves. CONTEXT: The app: [APP_DESCRIPTION] built with [STACK]. Payment provider: [PROVIDER]. What I sell: [PRODUCTS] …
The rest of “Adding Payments to an AI-Built App the Safe Way” opens on a plan
You are reading the opening lines. The full prompt (~352 words) — to copy, download as a ready .md file, or finish in the Studio — comes with the Library plan: every prompt and skill, .md downloads, 80 tailoring runs a month.
- Built from
- Role
- Context
- Task
- Constraints
- Output format
- You fill in
- app description
- stack
- provider
- products
- entitlements
- auth and db
- markets
Part of the AI Vibe Coder Pack — 8 items for ai vibe coder.
Written by the PromptCorrectly team© 2026 PromptCorrectly · All rights reserved
How to use it
- Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
- Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
- Want it in your brand’s voice? Press “Tailor to my brand” and the Studio rewrites it for your business. To sharpen the answer itself, add self-critique prompting.
Techniques in this prompt
Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.
Learn this techniqueForces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.
Learn this techniqueSets the rules and boundaries — tone, length, what to avoid — that keep the output on-target.
Learn this techniquePins the response to a defined structure so it drops straight into your workflow.
Learn this techniqueWorks with
Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.
New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.