5 Desk Accessories Under $10 Every Developer Should Own in 2026
Your desk setup is your command centre, and even the smallest upgrades can sharpen your focus, reduce friction, and make […]
Best-of roundups and tool recommendations
Your desk setup is your command centre, and even the smallest upgrades can sharpen your focus, reduce friction, and make […]
Conversation intelligence tools listen to (or read transcripts of) sales calls, support calls, and meetings, then score tone, sentiment, talk-time
Running an AI model entirely on your own machine, with nothing sent to a cloud API, went from a hobbyist experiment to a genuinely practical option for real work in the last couple of years. Here is how Ollama, LM Studio, and Apple Intelligence approach on-device inference differently, and who actually needs it.
AI-native bookkeeping is a newer, less crowded category than AI writing or coding tools, and it comes with a real due-diligence wrinkle: a couple of well-known players in this space have shut down in the last two years. Here is how Puzzle, Digits, and Truewind approach automated bookkeeping, and what to check before trusting any tool in this category with your books.
Academic plagiarism checkers like Turnitin and GPTZero solve a different problem than a platform trying to catch deepfake video, cloned voices, and manipulated images at volume. Here is how Hive Moderation, Reality Defender, and Sensity AI approach detection at enterprise scale.
Claude Cowork, Perplexity Comet, Sora 2, NotebookLM video overviews, and Cursor 2.0 multi-agent mode all shipped or majorly expanded in the last year. Here is what each one actually changes, not just how much bigger the model behind it got.
A solo founder running lean doesn’t need the enterprise tier of anything — most of the actual work in the
Listen to this post Your browser does not support audio playback. AI-narrated version of this post using a synthetic voice.
The camera, audio, and lighting gear worth buying before you start using AI editing and generation tools for video and podcast content – garbage input still means garbage output, even with AI cleanup.
What hardware actually matters for running AI tools smoothly – cloud-based apps, local LLMs, and everything in between – broken down by RAM, GPU, and NPU requirements.