531 MODELS FROM 68 PROVIDERS — NEW RELEASES ADDED AUTOMATICALLYDescribe your task and priority. The evaluator balances cost against performance, suggests the optimal LLM mix, and turns the recommendation into a runnable pipeline you can directly execute via API.
Start with free evaluations. Paid credits only cover successful runs.
Describe the prompt you need. The studio researches the topic, drafts the first version, tests it against real examples, and keeps rewriting it until it hits your target score.
Write what you need; the studio researches the client and topic on the web and drafts the production-ready prompt.
Client-specific terms gathered during research; editable, with sources, downloadable as CSV or JSON.
A starter set of examples generated automatically; add, paste or import your own.
Each round runs every example, scores the output 0–10, critiques what failed, and rewrites the prompt.
Stops at your target score, when improvements flatten out, or at the round limit.
Per-example results: score, actual model output and evaluator critique. Best round's prompt is promoted automatically and stays editable.
Pick separate models for generator, evaluator and optimizer, including web search during scoring as an option — with clear cost and time trade-offs.
Every run is billed at actual model usage; rounds show average score, pass rate and spend.
Every round shows average score, pass rate and spend before you commit.
Describe the job and your priority. The evaluator suggests the optimal LLM and explains why it wins.
Compare cost, context and capability across models to find the sweet spot for your workload.
Select 2–4 candidate models and see per-task cost, workflow fit and trade-offs for the same prompt.
Turn suggestions into editable pipelines. Chain models, attach files, and run each step through the next.
Per-request, per-1K and monthly estimates computed from live model pricing, not guesswork.
Start with free evaluations. Top up simple credit packs and only pay for successful runs.