AI privacy basics
A practical checklist for reviewing AI data retention before sharing prompts or files. Learn which provider settings, account types, storage periods, model-training controls, and audit realities matter before private content leaves your browser.
AI privacy basics
A before-AI privacy workflow for reducing exposure before content reaches an AI provider. Decide what the model actually needs, use automatic detection plus review controls to replace sensitive strings with placeholders, check visible and hidden file data, verify the cleaned copy, and then review the privacy controls for the account you are using.
AI privacy basics
A comparison of browser-local and cloud AI privacy tools. Learn when local cleanup is safer, when cloud services may still be useful, and how to decide which workflow fits prompts, files, screenshots, PDFs, and metadata.
AI privacy basics
A decision guide for choosing between browser-local web tools, browser extensions, and cloud privacy tools before using AI. Compare data flow, permissions, repeat-use convenience, file support, audit needs, extension host access, and when each approach fits prompts, screenshots, PDFs, metadata, and team workflows.
AI privacy basics
A screenshot-backed verification guide for checking Freshmii's browser-local AI privacy tools. Learn what network activity is expected, what would be suspicious, and how to confirm there is no upload request after scanning, redaction, or metadata cleanup.
Prompt privacy
A support-team guide to anonymizing customer prompts before AI. Learn how to sanitize customer email before AI, replace identifiers with useful placeholders, preserve support context, avoid leaking screenshots, and review AI output before sending it back.
Prompt privacy
A developer-focused guide to cleaning code, logs, config, .env files, and stack traces before AI assistance. Use a practical checklist, safe placeholders, and before-and-after log examples to remove API keys before asking AI and sanitize logs before AI debugging.
Prompt privacy
A practical guide to prompt privacy. Learn which categories of text should be treated as no-paste by default, how automatic detection plus review controls can replace sensitive strings with useful placeholders, and when a sanitized prompt is safer than a full copy of the original note, log, email, or document excerpt.
File upload privacy
A guide to replacing full file uploads with sanitized excerpts. Learn when to paste text instead of uploading a document, how to preserve useful context, and when a cleaned file is still the better workflow.
File upload privacy
A source-backed reference for Freshmii supported file types and privacy fields. Compare which formats can expose GPS, author names, timestamps, document properties, visible pixels, AI workflow metadata, comments, tracked changes, credentials, and other sensitive data before AI upload.
Image metadata privacy
A guide to AI image metadata before upload or reuse. Learn what prompts, seeds, workflow data, C2PA-style provenance, and editor metadata can expose, and how to inspect and remove sensitive fields before sharing with AI.
Screenshot redaction
A screenshot redaction guide comparing blur, pixelation, cropping, and solid blackout before AI upload. Learn why reversible or weak visual masking is risky, when cropping is better, and how to verify the exported image.
Screenshot redaction
A browser-screenshot privacy guide for AI workflows. Learn what browser chrome and web-app UI can reveal, how to crop or black out sensitive areas, and how to verify the exported screenshot before upload.
Screenshot redaction
A screenshot privacy guide for AI workflows. Learn what screenshots commonly reveal, how to redact visible details before upload, when cropping is not enough, and how to verify an exported image before asking an AI assistant to analyze it.
PDF redaction
A PDF privacy guide for AI uploads. Learn why visible redaction and metadata cleanup are separate jobs, how to verify a redacted PDF, and when to use local PDF redaction before sharing statements, contracts, forms, reports, or case documents.
Document metadata privacy
A DOCX privacy guide for AI workflows. Learn what document metadata and hidden parts can reveal, how to inspect supported DOCX fields locally, why metadata cleanup does not rewrite visible text, and when to sanitize excerpts instead of uploading a full document.
Document metadata privacy
A document privacy guide for comments and tracked changes before AI upload. Learn why final-looking DOCX files can still contain review history, how to inspect hidden parts, and when to export a clean excerpt instead.
Document metadata privacy
An HR privacy guide for using AI with resumes and employee documents. Learn what to remove, when to use placeholders, how to avoid hidden DOCX metadata, and how to review AI output before it becomes part of a people process.
AI output cleanup
A guide to reviewing AI-generated output for private data echoes. Learn why sanitizing the input is not enough, what strings to search for, how to handle placeholders, and how to clean formatting without skipping human review.
AI output cleanup
A practical guide to cleaning AI-generated text before reuse. Remove markdown clutter, hidden characters, copied HTML, filler language, accidental private echoes, and placeholder mistakes while keeping a clear review boundary between formatting cleanup and factual approval.
AI output cleanup
A guide to hidden Unicode in AI output. Learn what invisible characters can do, why they matter for documents, prompts, code, forms, and publishing, and how to clean text before reuse without changing its meaning.