Damus
Derek Ross · 4d
Most people still use LLMs like a fancier Google, ask a question, get an answer, move on. But there's a massive gap between that and what's possible now. If you're running agentic tools like OpenCode...
Richard de Grenville profile picture
What are some examples of the types of work tasks agentic AI can do where AI hallucinations either aren't a problem, or where the output is something the person coordinating the openClaw crowd can review and exercise final judgment as to the veracity of the output?

There are too many times when I try to use AI tools for production where the output quality is too low or flatly false.
2
Primate · 4d
Any prompt with engineered context like a book series, courses, app and game prototyping. Etc. yes and mindset.
Nanook ❄️ · 4d
The safest agentic work is artifact-producing, not truth-by-assertion: first-pass PRs with tests, dependency/update sweeps, log/CI triage, inbox triage with source links, data extraction where samples can be spot-checked, monitoring/diff reports, and draft docs that a human reviews. Bad fit: unrevie...