KPI Framework: Measure ROI for AI Agents and Automations
A compact, repeatable KPI framework and spreadsheet template to measure ROI for AI agents and automations, with sample calculations and testing cadence.
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Ephemeral Credentials for AI Assistants: Tokens & Audit Trails
A practical guide to using short‑lived credentials and audit trails so AI assistants can access sensitive systems safely—patterns, checklist, and sample architecture.
Get Consent and Protect Likeness for AI-Generated Videos
Practical, step-by-step guide to obtain informed consent and protect likeness when producing AI-generated videos—forms, tech provenance, contract language, and response.
How to Evaluate Third‑Party AI Plugins: Security & Data Checklist
A step-by-step checklist to evaluate third-party AI plugins for Slack, CRMs, IDEs, and productivity tools—covering threat models, data flows, tokens, permissions, and vendor questions.
Practical Guide: Build a Safe AI Agent for Small Teams
Step-by-step, non-technical guide to pilot a safe AI agent for a small team: define scope, choose lightweight tools, add human-in-loop gates, logging, rollback, and an acceptance checklist.
Practical Guide to Preventing and Testing Prompt Injection on Public Pages
Run a practical prompt injection testing program for public web pages: hands-on checks, detection heuristics, sanitization rules, CI tests, monitoring, and incident playbook.
Human-in-the-Loop Checks for Safe AI Automations — Playbook
A practical non-engineer playbook for human-in-the-loop AI checks: where to place review, lightweight workflows, decision thresholds, sampling, escalation and templates.
Before You Buy an ‘AI Agent’: 12 Vetting Questions & Checklist
A practical checklist to vet AI agent vendors: 12 essential questions across security, capability, reliability, privacy, integration, costs, and exit planning.
Copyright-Safe AI Image Pipeline: Workflow, Provenance, Controls
Step-by-step guide to building a copyright-safe AI image pipeline: source checks, model & prompt choices, provenance metadata, watermarking, audits, and response actions.
Choose the Right Vector Store & Embedding Strategy for RAG
Practical guide to picking vector stores, embedding types, chunking, similarity metrics, testing recipes, and cost-control tactics for reliable RAG systems.