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AI

LongHorizon-Harness: The Loop Engineering That Lets Agents Run for Hours, Not Minutes

Every agent user hits the same wall: it can't go the distance. Give an agent a complex, multi-app task, and somewhere along the way it loses the plot — the context window fills up and it forgets its…

  • LongHorizon-Harness addresses agent limitations in completing multi-step tasks.
  • Core functionality includes Plan → act → verify → checkpoint or recover loop.
  • Project validated by arXiv paper and benchmarks on WeaveBench, OSWorld 2.0, Terminal-Bench 2.1.

AI

Prompt Engineering: How to Actually Get What You Want from AI

You ask an AI to help you prepare for an interview. You get back twenty generic questions you could have found on any blog. You ask again.

  • Prompt engineering crafts precise instructions for desired AI outputs.
  • TCREI framework structures prompts with Task, Context, References, Evaluate, Iterate.
  • Zero-shot, one-shot, and few-shot prompting techniques vary in example usage.
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