PromptLabster

PromptLabster reads new arXiv papers on prompting every day, scores each for real-world usefulness and turns the useful ones into short technique pages: what to do, what was measured, prompts to paste. Browse by technique or by problem, or describe your task in the Finder and get a plan. Free.

How papers are scored

Every new paper on prompting, agents and evaluation gets a lab score from 0 to 100: can you apply it with prompts alone, how strong is the evidence, how big is the effect, is the idea new. Papers that pass become technique pages. Every page links to the source paper.

What you get

• 500+ research-backed prompting techniques, each scored 0-100 for practical value

• Every technique: method, measured effect, ready-to-copy prompts, link to the arXiv paper

• Four views per paper: full breakdown, plain language, one-screen digest, roles that can use it

• Finder: describe your task, get matching techniques and a step-by-step plan with prompts

• Weekly Sunday email digest, RSS and browser notifications

• Filter by period, category, role and score range

Use cases

• Cut false alarms when an LLM reviews code or documents

• Make AI grading and evaluation more consistent

• Write better cold emails and marketing copy with proven prompt patterns

• Stay current on prompting research without reading papers

• Design agent and RAG prompts on evidence instead of folklore

Who it is for

Prompt engineers, developers building on LLMs, AI power users, marketers and analysts who write prompts every day. The prompts work in ChatGPT, Claude or Gemini.