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Migrating From OpenAI to Claude Without Breaking Production

In short: Northell migrates production LLM applications from OpenAI to Claude: prompt porting, tool-call format changes, and phased, eval-tested cutover.

Key takeaways

We migrate production LLM applications from OpenAI to Claude — prompt and tool-schema porting, regression testing, and a phased, reversible cutover.

Frequently asked questions

Why would a team migrate from OpenAI to Claude?

Common reasons: better performance on long-context or agentic tasks, pricing on specific workloads, or data-handling and enterprise terms that better fit compliance requirements. We'll tell you if your use case doesn't clearly benefit.

Will our existing prompts just work on Claude?

Rarely without changes — tool-call formats, system prompt structure, and response formatting differ enough that a direct copy-paste usually degrades quality until it's ported properly.

How do you make sure quality doesn't regress after migration?

We run your existing evaluation set (or build one first if you don't have one) against both providers before cutover, so the switch is a measured decision, not a guess.

Can we run both providers in parallel during the transition?

Yes — a phased cutover with fallback logic is standard, so you're not fully committed until the new setup proves out in production traffic.

What's the typical migration timeline?

4-8 weeks for a single production feature, longer for multi-feature applications with heavy tool use.