GPT-6 Astra in Practice: Tests, Use Cases, and Feedback

The author predicts OpenAI will bring Dots to Plus powered by GPT-6.1 Terra, arguing Terra is cheap and fast but weaker than Astra, which stays Pro-only.

Finn says Terra passes Astra on some tests at 3x the speed and one-tenth the price, built for personal agents, while he still uses Astra on fast settings for coding.

Once GPT-6 Astra input passes 272K, the whole call is repriced at 2x input and 1.5x output, making a 300K request about $8.40; the post suggests compaction and cache reuse.

A comparison of xAI Grok Bot, Meta Muse, OpenAI Dots (built on GPT-6 Astra) and Claude Duet covering audience, pricing and safety design, with picking advice.

The author layers Watcher, Analyst, Risk, Executor and human approval over GPT-6 Astra so agents stop and ask instead of guessing.

A reminder that gpt-reserve (Luna) is reachable by alias and resets every 7 days, Astra is unlimited in Dot if it isn't delegated to Codex, and EU users can disconnect while Dot keeps running.

The poster notes ChatGPT now runs several agents on one task in parallel for review, and says he already runs agents across his companies under preset rules.

OpenAI launched Dots on Oct 12, always-on agents powered by GPT-6 Astra for Pro and Business Premium first; the poster worries about token burn overnight.

A short image post where the author calls GPT-6 Astra their "autistic little friend" and expresses fondness for it.

Running ls ~/.hermes shows SOUL.md, memories, skills and config.yaml; the author says his agent runs on GPT-6 Astra through his ChatGPT login with no API bill.

After a week of use, Astra fixes bugs at roughly GrokBot level, but it burns through the ChatGPT subscription quota fast and context caching is undocumented and hard to optimize.

The author lists a seven-tool workflow: ChatGPT Astra Ultra for enterprise-grade research, OpenAI Dot as an executive assistant, Opus 5.5 for video animation, Claude Code for audio, plus Gemini, Grok and Grok Bot.