Claude Message Batches: What to Do With Each Result State

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The Message Batches API processes independent Messages API requests asynchronously. Submitting a batch is easy. The design work is in what happens after the results come back, especially when some succeed and some do not. Use a batch for independent work that can wait: evaluations, document classification, data analysis. Use an interactive request when a person or service needs the answer before it can continue.

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Deepfake Detection API: Adding Image and Video Verification to Your Platform

If your platform accepts user-uploaded images or video, synthetic media is already in your pipeline. Profile photos, ID selfies during onboarding, product listing images, UGC clips submitted to a newsroom, video testimonials. Some fraction of that is generated or manipulated, and the fraction is growing. This guide covers adding detection using the DeepfakeDetector.ai API: getting a key, scanning an image, handling video asynchronously, parsing the response defensively, and, the part most guides skip, designing your product around a result that is a probability rather than a fact. What the API

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ProgrammingHacker News ·

Worth Building

Article URL: https://armstr.ng/writing/worth-building Comments URL: https://news.ycombinator.com/item?id=49971952 Points: 9 # Comments: 0

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ProgrammingDEV Community ·

Five Stop Conditions Every Production Claude Tool Loop Needs

A demo agent loop runs until the model says it is done. A production loop cannot work that way. Each tool call is a request to change something, and your code, not the model, decides when the loop stops. Claude returns a structured tool-use block: a tool name and arguments. Before anything runs, the application checks five things: Schema: the arguments have the right shape.

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ProgrammingDEV Community ·

Field Break: an open-weight AI that tells you to close the screen

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