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AI Integrationintermediate
Shipping AI Features Without the Hype Tax
An end-to-end playbook for adding AI features to existing products: scoping, prompts, evaluation, monitoring, and rollback strategies.
120 min7 steps
Technologies Used
AnthropicOpenAIVercel AI SDKPostgreSQLNext.js
Implementation
Step by Step Guide
Follow these steps to implement this pattern in your project
1
Scope the Feature
Define a small, measurable AI feature with clear success metrics. Pair with my AI integration service.
2
Pick the Right Model
Compare providers - see OpenAI vs Anthropic.
3
Build a Prompt Library
Centralize prompts with versioning and tests.
4
Add Evaluations
Add eval harnesses before you ship.
5
Ship Behind a Flag
Roll out to a small percentage of users with a kill switch.
6
Instrument and Monitor
Track latency, cost, and quality with the monitoring playbook.
7
Iterate on Real Data
Use real conversations to drive prompt and model changes.
Results
What You'll Achieve
Expected outcomes from implementing this playbook
AI features that survive contact with real users
Cost and latency under control
Clear evaluation metrics
A safe rollback path
Start a project if you want a partner who has shipped this before.
Need help implementing this?
I can help you implement this pattern in your project or customize it for your specific needs.
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