Can I use this for both OpenAI and Anthropic products?

Yes, the architecture patterns are provider-agnostic and designed to work with various AI providers including OpenAI, Anthropic, and open-source models.

How does this skill help with AI API costs?

It provides patterns for token tracking, usage metering, and strategic model selection (e.g., Haiku vs. Sonnet) to ensure your AI product remains profitable.

What is a 'thin wrapper' in AI development?

A thin wrapper is a basic UI over an LLM API without added logic; this skill helps you add domain expertise and unique features to avoid this and build a defensible product.

Does it include output validation techniques?

Yes, it provides code patterns and strategies for forcing and validating structured JSON outputs from LLMs to ensure your application doesn't break.

AI Product Architect

Name: AI Product Architect
Author: claudiodearaujo

byclaudiodearaujo

0•

Data Science & ML

Architects and implements high-quality, defensible AI-powered products by bridging LLM APIs with specialized domain logic and robust cost controls.

The AI Product Architect skill empowers developers to transition from simple 'thin' AI wrappers to production-grade SaaS products. It provides comprehensive guidance on prompt engineering for consistent structured outputs, selecting the optimal LLM for specific tasks, and implementing essential business logic like usage metering, rate limiting, and output validation. By focusing on differentiation and unit economics, it helps creators build sustainable AI tools that provide genuine value beyond standard chatbot interfaces.

Key Features

01Production-grade prompt template design for reliable structured JSON outputs

02LLM model selection guidance based on cost, speed, and quality trade-offs

03Anti-pattern identification to avoid thin wrapper syndrome and negative unit economics

04Granular API cost management and per-user usage metering systems

05Robust output validation and error handling to mitigate hallucinations

060 GitHub stars

Use Cases

01Building niche AI-powered writing or coding assistants with specialized domain knowledge

02Developing enterprise AI tools with strict budget controls and usage limits

03Creating automated data processing pipelines that leverage LLMs for extraction and transformation

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/izacenter ai-wrapper-product

For use in Claude.ai and ChatGPT

Download Skill