AI email triage: rule-driven workflow to prioritize, summarize, reply
Build a safe, rule-driven AI email triage workflow: set filters, use summary and reply prompts, include human approvals and credential safeguards.
Teach Students to Critically Evaluate AI Outputs: Classroom Guide
A practical classroom guide with step-by-step exercises, sample prompts, and rubrics to teach students how to critically evaluate AI outputs and cite sources.
Pilot Plan: Safe, Low‑Risk AI Agent Experiments for Small Teams
A practical two-week playbook for small teams to run low-risk AI agent pilots: narrow use cases, minimal tech, scoped permissions, A/B tests, and rollback steps.
Prepare Your Small Business for AI Regulation: Checklist
A practical seven-step checklist to help small businesses inventory AI use, secure data flows, vet vendors, prepare incident logs, and plan consent and communications.
Design AI Consent & Transparency: Practical Team Checklist
A practical, team-friendly guide to designing consent flows and transparency for AI that uses personal data, with UI examples, logging, and QA checks.
Extract Data from PDFs with LLMs: No-Code Invoice Tutorial
A step-by-step no-code tutorial to extract tables and fields from messy PDFs and invoices using OCR, LLM prompt templates, light validation, and CSV export.
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.
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.