azure-speech-to-text-rest-py
Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.
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Azure Speech to Text REST API for short audio (Python). Use for simple speech recognition of audio files up to 60 seconds without the Speech SDK.
Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM w...
Analyze mental health data, identify psychological patterns, assess mental health status, and provide personalized mental health advice. Supports associative analysis with other health data such as sl…
AI audio generation powered by CellCog. Text-to-speech, voice synthesis, voiceovers, podcast audio, narration, music generation, background music, sound design. Professional audio creation with AI.
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Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.
Post-launch AI feature calibration workflow. Document error patterns, review eval performance, and decide on agency promotion. Based on CC/CD framework for continuous calibration of AI products.
Generates structured Google Veo 3.1 video prompts by collecting user input for subject, action, style, cinematography, and audio. Guides users through the Universal Prompt Formula to produce camera-re…
Expert in CrewAI - the leading role-based multi-agent framework used by 60% of Fortune 500 companies. Covers agent design with roles and goals, task definition, crew orchestration, process types (s...
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export …
Expert in building voice AI applications - from real-time voice agents to voice-enabled apps. Covers OpenAI Realtime API, Vapi for voice agents, Deepgram for transcription, ElevenLabs for synthesis...
AI-native OCR platform that turns documents into high-accuracy data in minutes. Using multi-model consensus, DeepRead achieves 95%+ accuracy and flags only uncertain fields for review—reducing manual …
write a simple prompt like “Write an email to [contact] welcoming them to the company,” but you can add more context with a persona in order to get a better result
Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).
Build an LLM-as-Judge evaluator for one specific failure mode. Binary pass/fail only. Use when a failure mode requires interpretation (tone, faithfulness, relevance, completeness) and cannot be checke…
The entire AI development process is threaded together by documentation. It covers Domain-Driven Design (DDD) and the setting of AI development standards (Agent norms). Use when (1) the user asks to o…
Use when integrating Google Gemini API into projects. Covers model selection, multimodal inputs, streaming, function calling, and production best practices.
Design short-term, long-term, and graph-based memory architectures
Automate TikTok tasks via Rube MCP (Composio): upload/publish videos, post photos, manage content, and view user profiles/stats. Always search tools first for current schemas.
Deep reasoning. Accurate data. Beautiful design. The three things every great document needs — and most AI gets wrong. #1 on DeepResearch Bench (Feb 2026), powered by SOTA search models, and state-of-…
USE FOR RAG/LLM grounding. Returns pre-extracted web content (text, tables, code) optimized for LLMs. GET + POST. Adjust max_tokens/count based on complexity. Supports Goggles, local/POI. For AI answe…
Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD…
Sends a short prompt to OpenRouter-compatible LLM for capability verification.
Task management for AI agents across context windows. Use when agents need to track work, log progress, hand off state, and maintain context across sessions. Includes workflows for single-issue focus,…