Browse older CallSphere articles on AI voice agents, contact center automation, and conversational AI.
From the blog
AI coastal flood prediction models map inundation risk at meter-scale resolution with 90% accuracy. Learn how machine learning improves flood mapping, erosion forecasting, and sea-level rise planning.
Establish effective team workflows for collaborative prompt development. Learn review processes, approval gates, documentation standards, and shared library patterns that scale across engineering teams.
A practical comparison of the major foundation models — GPT-4, Claude, Gemini, Llama, and Mistral — covering capabilities, pricing, context windows, and guidance on when to use each.
A detailed comparison of Temporal, Prefect, Apache Airflow, and custom-built orchestrators for AI agent workflows. Covers scaling, complexity, team fit, cost, and decision criteria.
Implement competitive multi-agent patterns where agents debate, critique, and red-team each other's outputs to improve accuracy, catch errors, and stress-test AI-generated content before it reaches users.
Build compliance-grade audit logging for AI agents operating in regulated industries, covering immutable log storage, data retention policies, SOC2 and HIPAA requirements, and log archival strategies.
Create a shared library of reusable, well-tested agent components using the OpenAI Agents SDK with factory patterns, configuration-driven agents, testing utilities, documentation standards, and semantic versioning.
Master the full spectrum of failure modes in AI agent systems — from LLM hallucinations and tool execution errors to network timeouts and business logic violations — with structured handling strategies for each category.
Learn how to build computer use agents that interact with browser and desktop applications by capturing screenshots, detecting UI elements, performing click and type actions, and verifying results through visual feedback loops.
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