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The AI Employee Library / Guides

Guides

Step-by-step practice: hiring, permissions, evaluation and the workflows teams run first. Checklists over theory.

31Guides
3Sections
9Topics
31 JULLast updated
Guides — page 2 25–31 of 31
31 JUL 2026 AI Employee KPIs: Measure Outcomes, Quality, and Escalation The best KPI is not tasks completed: a seven-layer scorecard - outcome, quality, escalation, reliability, cost, risk, diagnostics - with formulas, worked examples, and anti-gaming checks. GuidesHiring 21 min
Napkin-style sketch of a seven-layer KPI scorecard pyramid with accepted outcomes at the top and activity diagnostics at the base
 31 JUL 2026 AI Employee Incident Response: Contain, Revoke, Review, Recover A 12-decision response path for AI employee incidents: pause work, revoke authority, preserve evidence, scope propagation, correct business state, and resume only on an accountable decision. GuidesTrust & security 24 min
Napkin-style sketch of an emergency stop lever beside a response path from detect through recover, with an amber highlight on the revoke step
 31 JUL 2026 AI Employee Audit Logs: What Buyers Should Be Able to Reconstruct The test is reconstruction: from one disputed action back to its origin and forward to every consequence - identity, authority, execution, effect, and recovery, all connected. GuidesTrust & security 27 min
Napkin-style sketch of a chain of linked event blocks from trigger through approval to verified effect, examined by an amber magnifying glass
 31 JUL 2026 AI Customer Support Escalation: When the Agent Should Stop Escalate when unsure is not an operating rule. A production workflow needs explicit stop triggers, a context packet that travels with the case, and a receiver who formally accepts. GuidesWorkflows 22 min
Napkin-style sketch of a support conversation path with a large stop sign gate in the middle labeled with trigger icons, a context packet folder passing beyond the gate to a human figure wearing a headset, with an amber highlight on the stop gate
 31 JUL 2026 AI Content Operations Workflow: Brief, Draft, Review, Repurpose AI content ops should increase accepted, useful content - not text waiting for review. The scaling constraint is claim, editorial, and approval throughput, not token generation. GuidesWorkflows 22 min
Napkin-style sketch of a content production line: a source pack box feeds a brief card, then a draft page moving through three stamped review gates, branching at the end into several small channel assets, with an amber highlight on the middle review gate
 31 JUL 2026 AI Agent Guardrails: What They Can - and Cannot - Do A guardrail is an enforceable control, not a promise: layered checks across inputs, identity, tools, validation, approvals, monitoring, and circuit breakers - and what none of them can guarantee. GuidesTrust & security 22 min
Napkin-style sketch of a work path passing through a series of labeled gate layers from input to monitoring, with an amber circuit-breaker switch on the final segment
 30 JUL 2026 How to Hire an AI Employee: A 12-Step Outcome-First Process Start with one recurring outcome, not a job title. A 12-step process covering task fit, role charters, permissions, evaluation sets, and a graduated pilot that earns each new authority. GuidesHiring 18 min
Hand-drawn winding path with twelve numbered stops from an outcome flag to a standing-role badge, with an approval checkpoint gate along the way
CellCog Research 71 articles · 3 sections · 364k words