@iASHeeesh · X

@marcin_u2 · X

-> here it is! claude finally knows everything gpt knows. and both of them know everything that's happened across your email, drive, slack, notion, github and granola :)

u/Firenze30 · Reddit

I built an AI personal assistant that turns brain dumps into tasks, contacts, and notes. No filing required My job requires me to work across multiple projects at different scopes. Recurring monthly tasks, one-time requests, long-term initiatives, operational work. Things come at me from emails, chat messages, meetings, and verbal conversations. And the worst part is getting asked about a project decision from months ago. That decision could be buried in an Outlook email, a Wo

u/termicrafter16 · Reddit

A friend taught me a Slovenian card game two days ago. GPT-5.6 Sol helped me turn our argument into an AI opponent. Two days ago, a friend taught me Sedmice, a traditional card game we play in Slovenia. The rules are simple, but we quickly got into an argument about the best moves. Naturally, I decided the reasonable way to settle it was to build an AI opponent. I wrote out the rules, project specification, architecture, and implementation details, then handed the logic to GPT-5.6 Sol. Ab

@paulrodturner · X

@indradevGod89 · X

@brryg_ · X

sure man, working on a social and visual news hub called heuron - lmk what you think!

fran-mora · HN

I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.