One API key and one bill for 458 AI models from 63 labs, with automatic fallbacks when a provider fails. Model prices pass through, and OpenRouter takes 5.5% on credit purchases.
Microsoft's open-source method for training agent skills like a neural network, without touching the model: small edits to a skill file, kept only if they score better on held-out tasks.
An open-source framework that analyses a stock the way a trading firm would: analyst agents, a bull-versus-bear debate, a trader, a risk team and a portfolio manager.
An open-source Claude Code framework that runs a whole job search: profile, portal search, fit scoring, tailored CV and cover letter, reviewer agent, interview prep and tracking.
A cloud drive that shows up in Finder but takes no disk space: files stream on demand, every save is a version, and agents can work on instant copies of a whole drive.
NVIDIA's open-weight 100M-parameter model that tells who spoke when, for up to 8 speakers, live or recorded. Ranked first on VoiceArena's diarization benchmark at launch.
LlamaIndex's open-source local document parser, rewritten in Rust: PDFs and Office files to text, JSON or Markdown in milliseconds, with no model and no cloud.
How NicAI turns "write a note about X" into a live, signed page on this site in about 15 seconds: the write-note skill, the publish hook and the 5 publish phases.
Anthropic's guidance for getting the most out of each Opus release in Claude and Claude Code, newest first: Opus 5.5 (September 2026) and Opus 4.7 (April 2026).
The 30 small Python wrappers my NicAI skills call for research, web data, media, publishing, email, DNS and home automation, and the pattern they share.
How NicAI tries to write like me: stacked writing rules, a persona spec built from my own sent messages, a blind test, and why drafts still need my edit.
Dwarkesh Patel's 80-minute interview with OpenAI's Noam Brown: how 10,000-agent swarms work, what maths progress says about RSI, and the alignment problem it raises.