How to Set Up an AI Content Approval Workflow for Small Teams
Step-by-step playbook to design an AI content approval workflow: define risk tiers, human checks, lightweight gates, logging, quality metrics, and templates.
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Checklist: Audit an AI Vendor’s Copyright & Content Risk
Practical checklist to audit an AI vendor’s copyright and content-reuse risk. Key questions, evidence to request, quick tests, red flags, and next steps.
Managed Agents for Non-Engineers: No‑Code Prototyping Guide
Step-by-step no-code guide to prototype a managed agent with clear tasks, human-review checkpoints, permission limits, test flows, prompts, and audit logs.
Classroom-ready: 8 Activities to Teach Teens AI Safety Skills
Eight practical, ready-to-run classroom activities that teach teens how to spot AI errors, protect privacy, evaluate sources, use AI responsibly, and set guardrails.
How to Run a DIY AI Red Team: Checklist & Test Cases
Step-by-step playbook to run a lightweight internal AI red team: scope, prioritized test cases, ready-to-run prompts, severity scoring, reporting, and remediation.
Design a Reliable AI Agent Workflow for Small Teams
Step-by-step playbook for small teams to design dependable AI agent workflows: define scope, choose managed vs hosted, add human checkpoints, logging, safety, and rollout.
How to Evaluate AI Content Tools: Reproducible Rubric & Tests
A practical, reproducible rubric and small test suite to evaluate AI content tools. Includes prompts, scoring, automation recipes, decision matrix, and limits.
Manage LLM Costs in Production: A Step-by-Step Playbook
A practical playbook to manage LLM costs in production: choose models wisely, cut tokens, batch and cache calls, use retrieval over generation, and estimate spend.
Build an AI Moderation Workflow for UGC: Policies & Steps
Step-by-step guide to build an AI moderation workflow for UGC: policy tiers, triage rules, AI filters, human review, testing checklist, and vendor checklist.
Reduce Hallucinations in RAG: Practical Checklist & Tests
A hands-on checklist to reduce hallucinations in retrieval-augmented generation (RAG), with concrete prevention steps, reproducible tests, code/no-code examples, and onboarding tips.