How to Evaluate an AI Coding Assistant When You’re Not a Developer
A practical checklist for non-developers to evaluate AI coding assistants: usability, privacy, integrations, offline options, hallucination risks, and cost trade-offs.
privacy
How to Test and Prevent LLM File-Access and Deletion Risks
A hands-on playbook for teams to simulate risky LLM behavior, lock down file permissions, run safe tests, monitor activity, and prepare incident playbooks.
Practical framework to audit an AI tool’s data handling
A compact, step-by-step 12‑point checklist to audit an AI tool’s data handling—collection, retention, sharing, training risk, vendor contracts, access controls, and tests.
AI Code Security Evaluation Checklist for Engineering Managers
A practical checklist for engineering managers to evaluate AI code tools: data handling, sandboxing, telemetry, training claims, logging, incident response and vendor questions.
Set Up an AI-Powered Productivity Workspace with ChatGPT
Build a practical AI personal productivity workspace: choose copilot roles, connect calendars, email, notes and automations, and deploy three ready workflows.