Why I needed Durable Execution to read a toy manual
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A developer built an AI pipeline called Toku Solutions to translate Japanese collectible toy manuals into editable static sites. The pipeline uses Temporal for durable execution, running OCR (parallelized per page via Google Document AI), translation (Google Translate with retry policies), image rendering with heartbeating, and LLM cleanup via Gemini with Pydantic schema validation. Temporal's event history ensures that if any step fails mid-run, the pipeline resumes from where it left off rather than restarting. The LLM is deliberately isolated inside an Activity to keep Workflow code deterministic and to prevent nondeterminism from breaking replay. A 20-page manual processes in about 50 seconds for roughly 43 cents.
