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Use-case stack · technical leads

Model evals & bake-offs

Compare models on your prompts before locking a stack for the lab.

Same prompts, same temperature notes, pass/fail rubric. OpenRouter/local runners help; spreadsheets keep score.

Preferred / primary

Web LLM / chat

OpenRouter

One API key to many model providers — useful for comparing models without N dashboards.

In this stack: Hit many models with one key for bake-offs.

Hybrid Research

Excel / Sheets + LLM

Spreadsheet as system of record; LLM helps formulas, cleanup, and explanations.

In this stack: Scorecard: prompt, model, pass/fail, notes.

Supporting tools

Self-hosted LLM / chat

Ollama

Simplest path to run open models locally (CLI + local API).

In this stack: Local baseline models.

App / desktop LLM / chat

LM Studio

Desktop app to download and run local GGUF models with a chat UI.

In this stack: Desktop local comparisons.

Hybrid Research

Python + Jupyter + LLM

Serious data analysis: notebooks for truth, LLM for boilerplate and explanation.

In this stack: Scripted eval harnesses.

Web LLM / chat

Claude

Anthropic models strong at long-context writing, code review, and careful analysis.

In this stack: Help design the rubric (not grade itself unchecked).

Stacks are editorial starting points — swap tools when policy, budget, or hardware demands it.