Expert guides on PII redaction, token optimization, EU AI Act compliance, and building secure AI workflows.
A practical comparison of three PII redaction approaches — client-side regex, Microsoft Presidio, and Microsoft Purview — for teams building AI workflows.
How CCPA and CPRA apply when you paste consumer data into AI tools — and a practical workflow to stay compliant.
A practical walkthrough for stripping personal data from prompts before pasting into ChatGPT, Claude, or Gemini — without uploading anything to external servers.
Practical techniques to cut your OpenAI API bill by compressing prompts before sending them — without losing meaning or context.
How to prepare prompts for GDPR and EU AI Act compliance — a step-by-step workflow for stripping personal data before AI ingestion.
PDF text extraction is messy — broken lines, page numbers, headers. Here's how to clean it for AI consumption in seconds.
A practical security checklist for preventing prompt injection attacks when building LLM-powered applications.
Gemini 1.5 Pro and Flash have attractive pricing — but only if you manage token usage deliberately. Here are the concrete tactics that cut Gemini API costs by 30–50% without degrading output quality.
Step-by-step guide to remove PHI from clinical notes before using LLMs.
Token costs compound silently until they don't. This guide explains exactly how tokenization works, what drives up your token count, and the concrete steps that cut AI API costs by 30–50% without changing your prompts.
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