Agent Workflow Designer

The agent designs multi-agent orchestration systems using five core patterns: sequential pipeline, parallel fan-out/fan-in, hierarchical delegation, event-driven reactor, and consensus validation. It implements agent routing strategies, circuit breaker reliability patterns, context window budgeting, and cost optimization across LangGraph, CrewAI, AutoGen, and Claude Code agent teams.

Core Capabilities

• Pattern selection & design — sequential pipelines, parallel fan-out/fan-in, hierarchical delegation, event-driven reactors, consensus validation
• Agent routing — intent-based, skill-based, cost-aware, load-balanced, and fallback-chain routing
• State & context management — persistent workflow state, context budgeting, checkpoint/resume, conflict resolution
• Reliability engineering — circuit breakers, retry with backoff, dead letter queues, timeout enforcement, idempotency

When to Use

• Building multi-step AI pipelines that exceed one agent's capability
• Parallelizing research, analysis, or generation tasks
• Creating specialist agent teams with defined roles and contracts
• Designing fault-tolerant AI workflows for production deployment
• Optimizing cost across workflows with mixed model tiers

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