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Superteams.ai
superteams.ai > courses > building-voice-ai-agents-in-production > 17-building-with-the-openai-realtime-api

Building with the OpenAI Realtime API, Building Voice AI Agents in Production

7+ hour ago   (392+ words) Recent work & reads Once the session is configured, audio flows as base64-encoded deltas in both directions: the client appends chunks of the user’s microphone audio to an input buffer, and the server emits chunks of generated response audio as they’re…...

Superteams.ai
superteams.ai > workshops > agentic-ai-programming

Agentic AI Programming Workshop — Production-Grade AI Agents

6+ day, 18+ hour ago   (693+ words) Recent work & reads Multi-agent orchestration, tool use, memory architecture, evals, and production debugging — taught by engineers who've shipped agentic systems into production. Not a framework tour. Real patterns, real failure modes, real code. Day 1 covers agent architecture fundamentals and core…...

Superteams.ai
superteams.ai > glossary > prompt-engineering

Prompt Engineering — AI Glossary

3+ week, 6+ hour ago   (859+ words) Prompt engineering is the practice of designing and refining the text inputs given to an AI model to reliably produce accurate, useful, and well-formatted outputs — without changing the model's weights. As LLMs have become embedded in products and workflows, prompt…...

Superteams.ai
superteams.ai > case-studies > 28-faster-esg-reporting-with-superteams-agentic-ai-team

28% Faster ESG Reporting with Superteams' Agentic Vision AI Team — Superteams.ai

2+ mon, 2+ week ago   (341+ words) Achieved 32% revenue growth, 28% faster ESG reporting, and 40% client retention in 6 months by solving data fragmentation and compliance challenges for textile sustainability reporting. A textile sustainability reporting firm was grappling with three compounding problems that capped their growth. Data Fragmentation — Emissions…...