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A skeptical look at what happens after you hit 'record' on the cloud meeting tools — data retention, training opt-outs, breach history, and the alternatives that don't exist on AWS.

Mac Mini M4 Pro + Llama-3.1 + ChromaDB on local. Here's what works, what doesn't, and what costs you'd be paying to OpenAI otherwise.

Cover letters are dead' is the common take. The data says some recruiters skim, some weight heavily, and the difference is predictable.

Conventional wisdom says PDF is safe. Modern ATS parsers say otherwise. Here's the data on which format actually parses correctly.

After analyzing dozens of accepted resumes from senior FAANG hires, three structural patterns emerge. Most candidates miss them.

Remote-job applicant volume is 8-12× on-site roles. The ATS filters are tighter. Here's what the engineers who get past them do.

Stuffing your resume with JD keywords used to work. In 2026 it gets you flagged. Here's what Workday's parser is now looking for instead.

70% of resumes never reach a human. Here's how the Workday/Greenhouse/Lever parsers actually rank candidates, and what you can fix before you submit.

Indian engineers applying to US/EU roles use templates that signal junior-level even with 10+ years of experience. The fix is structural, not cosmetic.

ChatGPT-rewritten resumes leak telltale patterns recruiters flag. Llama-3.1 8B running locally produces less detectable, more diverse output. Here's the side-by-side.