A long ramble first, then back to the task: one LLM workflow that keeps working
sull · x · 2026-07-22
A user says a long, casual ramble session works well with LLMs.
Their trick is to pause, go big-picture in a more conversational mode, and then bring the insights back to the task. They say this improves performance, especially when they want the model to better understand the goal before returning to the details.
Related event: Karpathy Recommends 10-Minute Voice Rambling for LLM Context(17 posts)→
More from coding & agent
- Is inference latency becoming the biggest bottleneck for production AI agents? — Euphoric_Sea632 · 2026-09-11
- Anthropic researcher: 99% of engineers now run swarms of 300+ self-improving agents — AlishaOutridge · 2026-09-11
- Gergely Orosz: Shipping 10x PRs With AI Agents, Sites Fill With Small Regressions — ducha_aiki · 2026-09-11
- Same Echo Maze prompt, three frontier models: all passed visually but shipped the same hidden bug — eyishazyer · 2026-09-11
- Astra storyboards plus Minimax H3 per-shot generation boost video success rates — Hailuo_AI · 2026-09-11
- Codex tip: use Sol with Astra and Luna sub-agents to save usage — pvncher · 2026-09-11