Shopify AI Chatbots for Ecommerce Support and Human Handoff
Design a Shopify support agent that answers order questions from live data, follows policy, and escalates exceptions with context intact.
Read guideAI agent field guide
20 articlesAI Agents
Understand what agents can do, compare the current stack, and learn how to build, control, and support a useful system in production.
In plain language: an AI agent can read context, choose from approved tools, and complete a bounded task. This hub helps you decide when that is useful—and when a simpler workflow is the better product.
Start here
Three decisions before choosing tools
01 / Decide
Agent or workflow?
Understand where judgment helps and where deterministic automation is safer.
Read guide 02 / BuildTurn work into a product
See how a real business process becomes a connected AI application.
Read guide 03 / ControlKeep authority visible
Design identity, permissions, approvals, and human review into the system.
Read guideAI agent library
Newest firstAI Email Triage for Construction Inquiries: From Request to Routed Quote
A practical design for sorting construction inquiries, extracting project details, routing requests, and keeping a human approval step.
Read guideHow to Give an AI Agent HubSpot Access Without Giving It Admin Rights
A permission design guide for HubSpot AI workflows: scopes, read/write separation, approval gates, secrets, and audit evidence.
Read guideHow to Qualify HubSpot Leads with n8n and OpenAI Without Losing Human Control
A practical HubSpot, n8n, and OpenAI workflow for lead qualification, evidence, routing, and human approval before outreach.
Read guideManaged AI Agent vs. One-Time Automation: Who Owns the System When It Breaks?
Compare one-time automation with a managed AI agent across build scope, API costs, monitoring, ownership, updates, and human control.
Read guideCodex vs. Claude Code vs. Hermes Agent: A Hands-On Interface Comparison
See how Codex, Claude Code, and Hermes Agent actually look and work in the terminal, with real screenshots and a practical selection guide.
Read guideHow to Orchestrate Multiple AI Coding Agents Without Losing Control
A practical architecture for coordinating AI coding agents across planning, implementation, review, testing, and human approval.
Read guideHow to Give an AI Coding Agent Safe File-System and CI/CD Access
Design a safer path from repository access to tested pull request with sandboxes, scoped credentials, CI gates, audit logs, and human approval.
Read guideFollowAI Cold AI Calls: Build a Voice Manager That Qualifies and Books
Learn how FollowAI can build a real AI cold-calling manager with LiveKit, SIP telephony, a business number, CRM tools, training, and cost controls.
Read guideAI Access Control: Identity, Permissions, and Approvals for Agents
A practical guide to controlling what AI models, agents, users, and automations can access, change, and approve across business systems.
Read guideAI Infrastructure Monitoring: Keep Models, Agents, and Workflows Reliable in Production
AI infrastructure monitoring connects telemetry, model usage, agent traces, quality checks, costs, and alerts to detect production failures.
Read guideAI Observability Dashboard
An AI observability dashboard connects traces, model usage, workflow metrics, evaluations, alerts, and ownership across deployed AI systems.
Read guideAI Web Application Development: Turn a Business Workflow Into a Product
Learn how AI web application development turns a repetitive business workflow into a secure, connected product that teams can launch, operate, and improve.
Read guideAutomated Backup And Recovery
Learn how automated backup and recovery protects business data, validates restore readiness, controls cost, and creates a tested path back to production.
Read guideLLM Cost Optimization: Control Token Spend in Production
Reduce LLM operating cost without degrading business outcomes through measurement, model routing, caching, batching, budgets, and production controls.
Read guideModel Routing System
A model routing system directs AI requests by complexity, cost, latency, capability, policy, and availability to balance quality and risk.
Read guideAI Sales Automation: Build a Controlled Revenue Workflow
Design AI sales automation that connects prospect discovery, qualification, outreach, CRM updates, booking, and human approval.
Read guideHow We Analyzed 18,250 Reddit Comments With Claude Code
A practical build log: how we collected, filtered, scored, and clustered 18,250 Reddit comments to find product pains in a few hours.
Read guideThe OpenAI“Hugging Face Agent Incident: 7 Security Lessons
See how an AI security test escaped its sandbox, reached Hugging Face systems, and what teams should change before running powerful agents.
Read guideAI Agents vs. Workflows: What Should You Actually Build?
Learn when a predictable AI workflow is enough, when an agent is justified, and how to choose without following the hype.
Read guide