Private Personal Knowledge Memory System with Local LLMs
Step-by-step guide to build a private personal AI memory system: choose storage layout, ingest documents, run local LLMs or hybrid retrieval, and secure syncing.
privacy
Build Interactive Product Demos with an AI Assistant — No Backend
Practical guide to building interactive AI-powered product demos without changing your backend. Three approaches: sandboxed front-ends, client-side connectors, and hosted demos.
Protect Your Likeness from AI: Detect, Prevent, Respond
A practical guide for creators to detect misuse of their face, voice, or style by AI, set technical and platform defenses, and follow a step-by-step takedown and response plan.
How to Link Apps to an AI Assistant Securely: Consent & Scopes
Practical guide to link apps to AI assistants securely: request minimal scopes, design clear consent, enable revocation, audit access, and test monitoring workflows.
Create AI-Generated Personal Videos Safely: Workflow & Consent
Step-by-step workflow for creators and small teams to produce AI videos featuring a real person—covering capture, consent, tool choices, sample releases, prompts and a checklist.
How to Spot AI-Generated Deepfake Audio and Video: A Practical Guide
A practical moderation workflow to detect deepfake audio and video: visual/audio cues, metadata checks, simple forensic tools, escalation steps, and ethics.
How to Safely Connect Your Password Manager to an AI Assistant
A practical guide to the risks, safe patterns, and step-by-step setups for connecting password managers to AI assistants—plus a checklist for when to allow access.
Design Privacy-First AI Tools for Schools: Practical Guide
A practical framework for school leaders and ed‑tech builders to assess risk, choose privacy-preserving AI architectures, design consent and age-appropriate UX, and manage incidents.
Audit an AI Tool’s Access to Credentials — Practical Checklist
Step-by-step checklist to audit what AI tools can access, run quick live tests, fix configurations, vet vendors, and set monitoring for secrets protection.
Non-engineer’s checklist: Integrate an AI copilot into your SaaS
A concise, non-technical checklist to add an AI copilot to your SaaS—covers architecture choices, privacy-safe data flows, low-code options, UX patterns, testing, and rollback.