Evaluate a model for a task
Frames model choice around task, context, and documented limits instead of vibes or leaderboard screenshots.
Evaluate whether this API model is a reasonable fit for one task. Do not invent a leaderboard rank.
Model: [id or name]
Task: [task]
Context needs: [tokens / files / tools]
Latency and cost tolerances: [numbers or “unknown”]
Documented facts I have: [pricing, context window, modalities, license — or “unknown”]
Rules:
- Do not invent benchmarks, Elo, or number-one claims.
- Treat missing pricing or limits as unknown, not free or unlimited.
- Separate capability claims from measured evidence.
Return:
1) Task fit hypothesis (2–4 sentences)
2) Required facts checklist (known / unknown)
3) Risks and failure modes for this task
4) A minimal verification plan (what to test, with what inputs)
5) Verdict: proceed / do not proceed / need evidence — with reasonsAbout this template
Reason
Frames model choice around task, context, and documented limits instead of vibes or leaderboard screenshots.
Outcome
A go / no-go / need-more-evidence note tied to one task.
Insight
Require the model to list what it cannot verify. That keeps unscored models unscored.
These templates are starting points for your own work. They are not ranked, scored, or sold. AIScoreboard does not crown a “best prompt.” Money never buys rank, and these pages have no Stripe checkout or paywall.