Resources Hub
Practical checklists, schemas, and architecture templates for deploying agentic AI systems. From personal agent infrastructure to enterprise workflow automation.
These resources are extracted from real deployments. Each checklist, schema, and template represents the decision logic I use when building agentic AI systems for operators, consultants, law firms, and growth teams. They are not theoretical frameworks — they are the actual structures I validate against before shipping a production system.
Use them as a baseline for your own deployments, as an audit layer for an existing system that is misbehaving, or as a communication tool when briefing developers or technical partners on what a production-grade agent architecture requires. The goal is to reduce the gap between what most AI deployments promise and what they actually deliver when real data hits real constraints.
Agentic AI Implementation Checklist
Step-by-step validation framework for deploying production-ready business agents across CRM, APIs, and workflow systems.
ArchitecturePersonal Agent Infrastructure Map
Complete system map of tools, memory architectures, and execution frameworks for autonomous personal AI agents.
SchemaAI Lead Qualification Schema
Structured data model for autonomous lead qualification including scoring rules, enrichment patterns, and handoff criteria.
SchemaCRM Duplicate Prevention Schema
Deduplication logic and matching algorithms for maintaining data integrity in automated CRM pipelines.
TemplateWebhook Failure Triage Template
Systematic troubleshooting framework for diagnosing and resolving broken webhook integrations in agent workflows.
ChecklistSpeed-to-Lead Architecture Checklist
Optimization framework for minimizing latency in automated intake, qualification, and first-response systems.
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