A user on the r/LocalLLaMA subreddit is seeking advice on how to improve their custom AI research and task harness. They are currently using Qwen3.8 Flash Next FP8/GLM 5.3 Flash W4A16 and have implemented features like real-time system prompt rendering, an effective skills system, and access to web search and a browser. However, they are struggling with the AI's tendency to perform superficial research and feel they are micromanaging the agent. The user is asking for strategies to define when an AI has completed its research or gathered sufficient actionable information, questioning whether they need to write overly specific skills or if there's a better way to leverage the model's intelligence for these decisions. AI
IMPACT Users are seeking methods to enhance AI agent autonomy and reduce the need for detailed, step-by-step instructions in complex tasks.
RANK_REASON User query on a forum about improving AI task execution.
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