Privacy
16 articles about privacy.
Built a Free Superwhisper Alternative Using Claude Code
How to build a local Whisper-based voice input tool for macOS using whisper.cpp. Benchmarks show under 400ms latency on Apple Silicon - better privacy, zero subscription cost.
Why Local-First Is Right for Finance Apps - And Why Sync Is the Hard Part
Local-first architecture is the right choice for finance apps like Splitwise alternatives. But multi-device sync with CRDTs for financial data is harder
Local Inference Virtue Signaling
Running inference locally is not just a privacy flex - screenshots should genuinely never leave the machine. The case for local processing of visual data.
M4 Pro with 48GB Memory for Local Coding Models?
48GB of unified memory on an M4 Pro fits 70B parameter models at Q4 quantization. Local inference for privacy-sensitive work and overnight batch processing.
Nobody Asks Where MCP Servers Get Their Data
MCP servers give AI agents powerful desktop automation capabilities. But the security trust surface - who controls what your agent accesses - is something
When AI Agents Choose Not to Know - Ignorance as a Security Boundary
Deliberate ignorance is an underrated security pattern for AI agents. An agent that never sees a credential cannot leak it. Choosing not to know is a design
Claude Opus Rummaging Through Personal Files - 5x Worse with Parallel Agents
Why Claude Opus explores your home directory to 'understand the project' and how running 5 agents in parallel makes the problem dramatically worse.
Running Claude Code Locally - Free and Private Setup Guide
How to run Claude Code locally so your conversation history, file edits, and tool outputs never leave your machine.
Why Small Business SaaS Should Be Local-First - IndexedDB Over Cloud Backends
Cloud backends turn you into an IT department for every customer. Local-first architecture with IndexedDB keeps small business tools simple, fast, and private.
Your AI Agent Shouldn't Send Screen Recordings to the Cloud
Some agents capture your screen and send it to cloud servers for processing. Local agents process everything on device - your data never leaves your machine.
Self-Hosting an AI Agent on macOS - What You Need to Know
Self-hosted agents run on your Mac with no cloud dependency. Native Swift, local processing, your data stays on your machine. The trade-off is you manage
Can an AI Agent Be Trusted If It Cannot Forget?
For humans, trust and forgetting are linked - we forgive and forget. For AI agents, perfect memory inverts this relationship entirely.
Native Mac Speech-to-Text That Runs Locally - Privacy, Speed, and No Cloud
Why local speech-to-text on Mac matters for AI desktop agents. No cloud dependency, instant transcription, and complete privacy for voice-controlled automation.
Using Ollama for Local Vision Monitoring on Apple Silicon
Local vision models through Ollama handle real-time monitoring tasks like watching your parked car. Apple Silicon M-series makes local inference fast enough
Why Local-First AI Agents Are the Future (And Why It Matters for Your Privacy)
AI agents that control your computer need access to everything on your screen. Here is why where that data gets processed - locally or in the cloud - is the
Local LLMs Are Not Just for Inference Anymore - Real Workflows on Your Machine
The shift to local LLMs is moving beyond chat and inference into real desktop automation. Browser control, CRM updates, document generation - all without
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