Topic
44 articles tagged AI. For the wider topic, see Privacy & Compliance.
Gmail's AI Overviews went global in September 2026, on by default for many Workspace accounts. What it reads, who controls it, and what to check first.
Read article →Slack's Big Mode lets Slackbot draft multi-page documents from your channels and connected apps. What it reads, what admins can exclude, and what to verify first.
Read article →Copilot in Outlook now writes a first draft from scratch and scores tone and clarity on request. Using both on the same email removes your only real check.
Read article →ChatGPT Work now learns your voice from Gmail, Slack, and Drive. What granting that access really means, and a narrower way to get the same result.
Read article →Agentic commerce lets an assistant place orders for you. When it buys the wrong thing or gets manipulated, who pays? What is settled and how to protect yourself.
Read article →Connecting an AI agent to your email is the most useful and most exposed thing you can do with it. A clear decision guide for when it is worth it and when it is not.
Read article →Enterprises say they have adopted AI agents. Very few are running them in production. What the gap tells you about where AI actually delivers value today.
Read article →Two pricing mechanisms that cut cloud AI costs substantially, when each applies, and why neither helps the interactive rewrite you are waiting on.
Read article →Open weights, open source, and open license are three different claims. What each one gives you, what it withholds, and which one matters if you want AI that runs on your own machine.
Read article →Open weights turn a data-handling promise into an architectural fact. Why that distinction is the whole argument for anyone writing client, patient, or contract text.
Read article →Client contracts increasingly restrict AI use. Here is how to read the common clause types, what they cover, and how to stay compliant without giving up tooling.
Read article →AI detection tools are being pointed at work emails, reports, and applications. Here is what their scores mean, where they fail, and what to do if you are accused.
Read article →Copilot+ PCs set a 40 TOPS NPU bar, but most local AI writing tools never touch the NPU. What the badge actually buys you, and what runs fine without it.
Read article →You signed the NDA personally. Here is how to use AI writing tools without breaching client confidentiality, and what to put in your own contracts.
Read article →Nine things to establish before your team uses an AI writing tool on anything containing personal data, from lawful basis to transfers to the record of processing.
Read article →Where AI writing tools sit under HIPAA, why a BAA is the deciding factor, what counts as PHI in an ordinary email, and how on-device processing changes the analysis.
Read article →A straight answer by model size, why free RAM matters more than installed RAM, and how to work out whether your current machine can handle it before downloading anything.
Read article →Write the request the way security and procurement actually read it: risk first, scope narrow, alternatives named. Includes a template that gets answered.
Read article →A practical edit pass for AI-generated writing: the sentence patterns to cut, the rhythm to break, and the three checks that catch most of it in under a minute.
Read article →AI drafts sound like nobody in particular. Here is how to get output that sounds like your actual voice, using examples, register rules, and a fast edit pass before you send.
Read article →Find out which AI tools your team is really using, what data has gone into them, and what to do next. A one-week audit that does not turn into a witch hunt.
Read article →A one-page AI policy that people will actually follow, covering approved tools, what never gets pasted, disclosure rules, and who decides. With a template.
Read article →AI assistants now summarize your page instead of sending traffic to it. How to structure writing so the machine extracts what you meant, not a confident distortion of it.
Read article →An honest assessment of what small on-device models handle well in 2026, where they still fall short, and how to decide which tasks to keep local.
Read article →Three chips, three very different jobs. Which one actually runs your local language model, why memory bandwidth beats raw compute, and what to check on your own machine.
Read article →Q4_K_M, GGUF, four-bit. What the labels on local AI models actually mean, what you lose, and which one to pick for rewriting work text.
Read article →A practical line between assistance and authorship, plus what to say when disclosure is warranted and why blanket AI disclaimers usually backfire.
Read article →Rewriting is a constrained task, and constrained tasks favor small models. Why a 1.7B model on your laptop often produces better work email than a frontier model in the cloud.
Read article →A field guide to the punctuation, phrasing, and structural habits that make readers assume a machine wrote it, and what to do about each one.
Read article →Blocked AI tools do not stop AI use, they move it to personal phones. Here are the legitimate options that work inside a restrictive IT policy.
Read article →Vendors say zero retention, no training, and enterprise grade. Here is what each claim covers, what it quietly excludes, and the questions that get you a straight answer.
Read article →Polished AI drafts get skimmed and skipped. The reason is structural, not stylistic, and it is fixable in about thirty seconds per message.
Read article →When your text cannot go to a public chatbot, you need a different tool. What a private AI writing alternative should offer, and how to pick one for work.
Read article →Pasting work text into a cloud chatbot is a data decision, not just a productivity one. What actually happens to it, when it matters, and a private alternative.
Read article →Learn how to move beyond simple prompts and build a sophisticated agentic workflow for your professional writing.
Read article →Learn how 'individual grounding' is changing the way we use AI and why keeping your data at the edge is the ultimate privacy move.
Read article →Learn how the EU AI Act impacts professional workflows and why local AI is the most effective path to maintaining strict data sovereignty and compliance.
Read article →While images and video get the headlines, text is still the foundation of professional intelligence. Learn why mastering text orchestration is the key to local AI success.
Read article →Discover why professional privacy requires a shift from cloud-based AI to local, on-device models and how it impacts your daily workflow.
Read article →Shadow AI is the new shadow IT. Learn how to provide your team with powerful AI tools while maintaining corporate governance and data security through local processing.
Read article →Discover how to use 'Vibe-Coding' principles to capture your unique writing style and apply it to every piece of content you produce.
Read article →Voice typing is finally becoming a professional-grade tool. Learn how combining local speech-to-text with local LLM rewriting creates the ultimate frictionless workflow.
Read article →Learn why raw AI output is hurting your career and how to use local AI workflows to maintain your professional edge.
Read article →Legal and medical professionals face unique privacy challenges with AI. Discover why zero-retention, local processing is the only viable solution for sensitive documentation.
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