Insights: free articles on Generative & Agentic AI.
AWS AgentCore's direct Web Search API simplifies integration but shifts source policy, provenance, privacy and action controls into applications. Six release tests.
AWS now lets agents call existing Step Functions workflows. Six enterprise tests for delegation, inputs, approvals, retries, costs and recovery.
Amazon Bedrock's managed knowledge-base sync schedules reduce ingestion work, but enterprises still need source-to-retrieval freshness tests and escalation.
GitHub's shared Copilot Automations change ownership, billing and audit responsibilities. Six enterprise gates for approvals, tools, costs and recovery.
Epsilon's Nova Act case study points to faster UI test authoring. An enterprise QA framework for judging repeatability, false passes, tenant isolation, evidence quality, and total cost.
GitHub Agentic Workflows is generally available. Seven practical tests for permissions, sandboxing, safe outputs, audit trails and workflow cost.
AWS now offers serverless training sessions with custom post-training loops. Here is what enterprise teams must test for quality, security, cost and reproducibility.
Permission changes do not instantly propagate through RAG connectors, indexes and caches. Learn how to measure access revocation and test AI search security.
A practical enterprise AI agent evaluation framework covering business outcomes, prohibited actions, multi-step tests, repeated trials, approvals, pilot gates and continuous assurance.
A reference architecture for production AI agents: durable state, transaction safety, scoped tool execution, approvals, observability, recovery, and operating metrics.