Expert guides on PII redaction, token optimization, EU AI Act compliance, and building secure AI workflows.
Practical strategies for reducing token usage and formatting prompts for Anthropic's Claude models — covering context window management, cost optimization, and input structuring.
How to safely extract text from scanned PDFs and images before sending to AI — using browser-based OCR that never uploads your files.
How to clean, format, and sanitize JSON and CSV datasets before using them for LLM fine-tuning or few-shot prompting — with practical examples.
How to design a data loss prevention pipeline that catches sensitive data before it enters ChatGPT, Claude, or any LLM — without blocking productivity.
Developers accidentally paste API keys into ChatGPT every day. Here's why that's dangerous, what can go wrong, and how to stop it.
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.
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