March 2026 monthly summary for AssemblyAI/assemblyai-api-spec: Delivered two primary features and enhanced developer experience through targeted documentation work and bug fixes. Key features delivered include: (1) Universal-3 Pro Streaming Model Adoption across API usage with built-in formatting, end-of-turn detection, and language detection; migration guides and docs updated to reflect the new model and its benefits for accuracy and usability. (2) Semantic WER: introduced a Semantic WER section to provide a nuanced evaluation of transcription errors that affect user intent and improve voice-agent assessment. Major documentation and quality improvements included extensive migration-guide updates across providers (Deepgram, Gladia, Speechmatics, AWS, Google, OpenAI) and code-block corrections; SDK parameter rename from speech_model to speech_models; removal of language_code when language_detection is enabled. Commit references related to these work include 54e8a4d447ad24394a588b0edf1c878b6408635b, 01b55e590caea21960d601b056eb043e5edfa142, 5bad058ca747595ad32a23ac073751c685fffdf4, and 459d1efc76f16ba1f8eb782166dab3ce5f69259d.

February 2026 monthly summary focusing on key accomplishments across two repositories (AssemblyAI/assemblyai-api-spec and BerriAI/litellm). The month delivered substantial documentation and prompting enhancements, plus data updates to improve model visibility and routing. Demonstrated strong UX writing, API spec quality, and integration work with external tools. No critical production bugs reported; efforts concentrated on documentation accuracy, model references, and metrics/data quality to accelerate developer onboarding and user success.

Month 2025-11: Delivered a robust, scalable transcription workflow with a focus on reliability and business value. Implemented asynchronous transcription polling for AssemblyAI and kept public-facing docs aligned with product roadmap changes.