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32 minutesHow to Build Human-Centered AI Workflows in Localization with Shashi Bhushan
Learn how to introduce AI into localization without removing human ownership of meaning, tone, terminology and final approval.
Watch nextAI Engineer. Dex Horthy explains why reliable agent systems are mostly disciplined software around a few LLM calls: own the prompt, own the context window, keep control flow deterministic and use tool calls to contact humans when the workflow needs judgment. That maps directly to the article's approval, exception and escalation patterns.
Treat the "agent" framing as software architecture, not autonomy theatre. The durable lesson is explicit state, deterministic control flow and a real human handoff path.
Learn how to design AI workflows that can pause, resume, ask for human judgment and keep business state separate from model guesses.
Basic familiarity with tool-calling or multi-step AI workflows.
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