Been wondering why some people get way better Claude outputs, this XML trick explains everything perfectly
LLMS
-
Proper prompting techniques unlock GPT’s true potential
By
–
This is so true, I spent months thinking GPT was trash until I learned proper prompting techniques
-
Turn ChatGPT into personal n8n consultant with this prompt
By
–
This prompt basically turns ChatGPT into a personal n8n consultant, the possibilities are actually endless with this approach
-
SnorkelGraph: Expert-Verified Benchmark Suite for LLM Reasoning
By
–
SnorkelGraph is part of our expert-verified benchmark suite, designed to systematically test LLM reasoning across math, spatial, and graph domains. Follow us for updates, and if you need expert-verified datasets for your evaluation needs, talk to us!
-
Snorkel Graph Benchmark Shows Significant Room for Advancement
By
–
As the leaderboard shows, this benchmark is far from saturation ATM: https://
leaderboard.snorkel.ai/category/snork
elgraph
… We’re looking forward to seeing continued advances in this skill, particularly in open models. -

SnorkelGraph: Graph Reasoning Benchmark for LLMs
By
–
Operations in graph theory are fundamental to analyzing complex systems, and provide a multi-hop, long-context reasoning challenge for LLMs. That’s why we built SnorkelGraph: a benchmark for evaluating graph reasoning with verifiable ground truth. https://
leaderboard.snorkel.ai/category/snork
elgraph
… -
Evaluating LLM reasoning on graph-based natural language tasks
By
–
Each question asks the LLM to compute the outcome of a natural language question (operator) over graphs encoded via node + edge lists. Example: “Find the minimum-density subgraph…” Because these questions all come with verifiable answers, LLM responses are easy to evaluate.
-

Optimizing AI Coding Workflows with System Instructions
By
–
Daily reminder : ~/.codex/instructions.md or ~/.claude/CLAUDE.md make a huge difference! My instructions:
– Don't catch errors, I prefer to raise them and fix them myself
– Go simple
– For GPT-5 in codex: don't abbreviate names (model has a tendency to make confuse -
Deep Agents Integration into LangChain 1.0 Question
By
–
is this basically folding deepagents into langchain 1.0?
-

Open Source AI Models: Safety Benefits Gaining Recognition
By
–
Great to see the safety benefits of Open Source models starting to get discussed more.