These guides are working notes on how to use ChatGPT and Claude as a sharp, fast research assistant for solo queue improvement.
Read the post-game scoreboard the way a coach would. Role-aware benchmarks, what each number actually measures, and how to combine them before handing the JSON to an AI.
(English)A field-by-field walkthrough of the JSON LoL2LLM hands to ChatGPT or Claude. Knowing what you're sending makes your prompts — and the AI's answers — much sharper.
(English)When to use which of LoL2LLM's five personas, plus the one-line additions that turn a generic answer into a sharp one.
(English)Below Plat, the metrics that move with rank aren't KDA or win rate — they're five much quieter numbers. Improve them and the climb compounds.
(English)Jungle gives the least real-time feedback of any role. The fix is a post-game review framework grounded in your own export — here's the one I use.
(English)An ADC's real job is sustained damage in fights, not staying alive. Four metrics that catch the "safe but useless" pattern KDA can't see.
(English)How vision score is calculated, the per-role targets that actually matter, and the three timing rules that determine where wards go.
(English)ChatGPT and Claude are excellent at LoL analysis — but they fail in five predictable ways. Here's how to neutralize each with a single prompt addition.
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