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List the inputs needed for one task: text, audio transcript, images, or an external app. Inspect the selected transcription provider and the model used by that task. Review enabled sync and media-analysis settings before testing.Copy this prompt
Use this in Screenpipe chat or an assistant with the required connections. Replace the brackets with your details. If the assistant lacks access, provide a reviewed excerpt; a prompt alone does not connect it to your history.Check the result
Run the same bounded task with the chosen configuration and inspect the answer against its sources. A faster answer is not useful if names, decisions, or source times are wrong.See a worked example
See a worked example
Go deeper: setup choices and edge cases
Go deeper: setup choices and edge cases
Local models can reduce reliance on a remote inference service, but their quality, context capacity, and resource demands vary. A small text summary and a long multimodal investigation are different workloads.Avoid assuming one provider selection controls every scheduled task or integration. Check the task configuration and failure behavior. If a fallback provider is configured, include it in the data-flow review. Use actual account usage for cost comparisons rather than converting a single run into an unlimited-use promise.