AI Agent Support Playbook for the First 30 Days
A first-month support playbook for teams launching an AI agent and learning from real user questions, failures, and trust concerns.
Practical evaluation, reliability, and measurement methods for AI agents and LLM applications.
A first-month support playbook for teams launching an AI agent and learning from real user questions, failures, and trust concerns.
A checklist for buyers evaluating whether an AI agent vendor is ready for production use, not just a polished demo.
A practical maintenance plan for keeping AI agent evaluation datasets useful after launch, model changes, prompt changes, and workflow drift.
A launch checklist for adding an AI chat widget to an AI agent website without creating cost, trust, or security problems.
A compact KPI dashboard for tracking whether an AI agent is ready for more users, broader permissions, or production rollout.
A practical interview guide for learning whether an AI agent solves a real customer problem before the team expands scope.
A reusable template for publishing a weekly AI Agent Readiness Brief that turns news and research into builder checks.
A copyable meeting agenda for reviewing AI agent launch risk across product, engineering, security, support, and operations.
A launch checklist of observability questions for AI agents, covering traces, tool calls, retrieval, approval, cost, latency, and incidents.
A practical gap analysis for teams moving an AI agent from a convincing demo to a controlled production workflow.