Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
Learn how to use Gemini's built-in Google Search grounding to build agents that access real-time information, handle citations properly, and deliver accurate, up-to-date responses.
Build agents that see, hear, and understand multiple media types simultaneously. Learn Gemini's media upload API, inline data handling, video analysis, and audio transcription capabilities.
Implement Gemini streaming for real-time token delivery in agent UIs. Learn stream_generate_content, chunk handling, SSE integration with FastAPI, and building responsive chat interfaces.
Learn how to get reliable JSON output from Gemini using response_mime_type, JSON schemas, enum constraints, and validation. Build agents that produce machine-readable structured data every time.
A practical comparison of Google Gemini, OpenAI GPT-4, and Anthropic Claude for building AI agents. Covers benchmarks, cost analysis, feature matrices, and use case recommendations.
Build AI agents that generate rich multimodal outputs including images with DALL-E, speech with TTS, PDF documents, and formatted reports. Learn how to orchestrate multiple generation APIs into cohesive, multi-format responses.
Generative AI for video transforms content production with text-to-video synthesis, local inference, and real-time rendering tools studios use in 2026.
Learn how to install the Anthropic Python SDK, configure your API key, make your first Claude API call using the messages endpoint, and parse structured responses for agent development.
Learn how to install the google-generativeai SDK, configure your API key, make your first generate_content call, and parse responses. A complete hands-on beginner tutorial for Google Gemini.
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