Techstackups

A field guide to the AI naming mess: model tiers, subscription plans, effort settings, and product names now share the same words.

LLMs: A technical editor's tool or replacement?

A practical set of LLM prompts technical writers can use to self-edit their work - catching structural, logical, and line-level issues before an editor sees the draft.

Drag a box, say what you want, and an AI agent draws it inside the box. Here's how we built it on tldraw's Agent starter kit, and what we learned.

A technical editor puts Anthropic's Opus 4.8 to work as an agentic editor on a code-heavy article to determine how effective (or necessary) it is.

Boris Cherny, the creator of Claude Code, said this in a recent interview: "I don't prompt Claude anymore. I have loops that are running. They're the ones prompting Claude and figuring out what to do. My job is to write loops." Anthropic put it a differen

GLM-5.2 just came out, and it's another step forward for what open models can do. The internet promptly freaked out, and it's hard to tell what's real and what's hype. So we ran it head-to-head against Claude Opus 4.8: same one-shot prompt, build a 3D pla

Picking a text-to-speech (TTS) API comes down to three questions: do you like how it sounds, how fast does it answer, and how much does it cost? We answered all three for Cartesia and ElevenLabs, two of the bigger names in the space. We ran the same scrip

I spent a few hours self-hosting Mijn Bureau, the Dutch government's open-source productivity suite, as an alternative to Google Workspace - here's what worked and what didn't.

A sourced roundup of what real people and companies spend on AI tokens, from $0 (firms that banned AI coding) up to $1.3M/month for a single OpenAI employee, sorted low to high in USD per person per month.