AI Agent Architecture
Design new agents and multi-agent systems with cleaner workflows, tool integrations, and deployment readiness.
Herb Trevathan helps businesses establish new AI agents, fix underperforming agents, repair agents in error, add monitoring, and improve efficiency across agent workflows.
Architecture, workflows, tooling, and launch guidance.
Fix unstable outputs, broken tools, and failing logic.
Observability, alerting, cost analysis, and improvement.
Most AI agent failures are not caused by the idea. They come from weak workflows, poor observability, broken tool chains, or inefficient execution. Herb helps correct those issues before they become expensive.
Design new agents and multi-agent systems with cleaner workflows, tool integrations, and deployment readiness.
Troubleshoot poor outputs, repeated failures, tool errors, hallucinations, and unreliable behavior.
Add logging, diagnostics, alerts, quality checks, and health visibility for production agents.
Improve latency, accuracy, cost efficiency, prompt strategy, and execution paths.
Review architecture, prompts, tools, and execution flow.
Target failures, errors, and weak outputs fast.
Add observability and operational confidence.
Reduce cost and improve reliability at scale.
Get direct consulting support for AI agent deployment, repair, observability, and optimization.