WORKFLOW-ORCHESTRATION
30 days · UTC
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Agentic AI for Analytics: From Insights to Execution
Agentic AI moves analytics beyond dashboards by planning, acting, and learning across governed workflows with auditability and human oversight, cuttin...
Agentic workflow patterns: pick the right shape, add guardrails
Agentic workflows let systems plan, act with tools, and iterate toward outcomes—best used where inputs are messy and paths branch. The guide outlines ...
Shipping Agentic AI: Deterministic Loops and Identity-First Guardrails
Enterprise teams are moving from experiments to agentic systems, but leaders must balance scalability vs. adaptability, supervision vs. autonomy, and ...
Claude Code adds persistent Tasks and MCP Apps for enterprise workflows
Anthropic upgraded Claude Code with persistent "Tasks" (v2.1.16), adding DAG-style dependencies, filesystem-backed state (~/.claude/tasks), and cross-...
Workflows vs Autonomous Agents: How to pick and wire them
The article explains how autonomous AI agents differ from deterministic workflows and breaks an agent into planner, tool-use, memory, loop/guardrails,...
Agentic workflows: constraints-first path to production
Agentic workflows coordinate one or more LLM-powered agents with retrieval, tools, and memory to reason, plan, and act across complex tasks. The piece...