[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-84364":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":10,"languages":10,"totalLinesOfCode":10,"stars":11,"forks":12,"watchers":13,"openIssues":14,"contributorsCount":15,"subscribersCount":15,"size":15,"stars1d":16,"stars7d":16,"stars30d":16,"stars90d":15,"forks30d":15,"starsTrendScore":17,"compositeScore":18,"rankGlobal":10,"rankLanguage":10,"license":19,"archived":20,"fork":20,"defaultBranch":21,"hasWiki":20,"hasPages":20,"topics":22,"createdAt":10,"pushedAt":10,"updatedAt":34,"readmeContent":10,"aiSummary":10,"trendingCount":15,"starSnapshotCount":15,"syncStatus":16,"lastSyncTime":35,"discoverSource":36},84364,"Gentle-Coding","OttoRenner\u002FGentle-Coding","OttoRenner","An ongoing, collaborative meta-analysis about Human-AI-Interactions. We aggregate data and knowledge to build a non-abrasive, user-friendly prompting framework tailored to LLM mechanics, ensuring reasoning stability and a friction-free prompting environment that is safe for the human psyche and wellbeing.","",null,97,5,1,4,0,2,6,43.53,"MIT License",false,"main",[23,24,25,26,27,28,29,30,31,32,33],"agentic-ai","ai-safety-research","alignment","anti-sycophancy","call-to-action","chain-of-thought","llm-behavior","meta-analysis","open-science","prompt-engineering","sycophancy","2026-06-12 04:01:43","2026-06-11 04:12:55","CREATED_QUERY"]