# Argmin AI Argmin AI ajuda as equipes a avaliar recursos de AI antes do lançamento usando fluxos de trabalho, regras, documentação e alguns exemplos, sem exigir uma equipe de ML ou código de avaliação personalizado. - Findings24: - Site: - Preços: Freemium - Categorias: Ferramentas Dev IA, Assistentes de testes com IA ## O que é Argmin AI? Argmin AI is an AI evaluation product for teams that need to check whether an AI feature is still performing well before they ship changes. The page positions it as a way to turn your workflow, rules, documents, and a few examples into an evaluation, without needing an ML team or custom evaluation code. The product centers on a calibrated evaluator that matches expert judgment. It starts from the task and success criteria, uses your docs and real cases, and then lets you review disagreements until the evaluator agrees with your team closely enough to run on every release. The homepage also shows the evaluator returning criterion-level scores and explanations instead of only a single score. ## O que Argmin AI pode fazer? ### Task-first evaluator setup Build an evaluator from your workflow, success criteria, docs, and a few examples, rather than starting with a labeled dataset. ### Case discovery from real data The product reads real cases to find gaps, edge cases, and risky answers so review effort is focused where it changes agreement. ### Readable rubric design Each rule is presented as a clear question on a scale, with examples for each level and business-specific criteria where needed. ### Calibration against experts The system compares the evaluator against expert answers, highlights sharp disagreements, and tightens the rule when you accept or reject a result. ### Pre-release checks The calibrated evaluator can be run as an endpoint before prompt, model, retrieval, or tool-call changes. ## Casos de uso ### Policy-bound customer workflows Check support, sales, or advice assistants against written policies so answers stay inside approved limits before they reach customers. ### High-stakes AI responses Add a quality gate for health, safety, or crisis-related outputs where one bad answer can create real harm. ### High-volume review Score large volumes of contracts, claims, tickets, or other cases with the same standard instead of relying on ad hoc review. ### Regression checks across releases Keep a single evaluation standard stable as prompts, models, retrieval, or tool calls change across releases. ### Rubric calibration with experts Use expert review to tighten a rubric when the right answer is nuanced, disputed, or depends on business-specific context. ## Perguntas frequentes ### How do you set it up? Argmin AI is built to turn your workflow, rules, docs, and a few examples into an evaluation that you can run before release. The source content does not show a separate setup flow beyond starting from the task, criteria, and documents. ### Who is it for? The homepage frames it for teams that need to evaluate AI features before they ship, especially when answers must follow written rules, be safe in high-stakes cases, or stay consistent at scale. ### What does the output look like? The product produces a calibrated evaluator with criterion-level scoring and a reason for each decision. The page also shows that outputs can be run as an endpoint before prompt, model, retrieval, or tool-call changes. ### Does the site show pricing? No pricing details are shown on the pricing page because the page returns a 404. The homepage does say the first evaluation is free and no credit card is required to start. ### What integrations are supported? The source does not list integrations with third-party tools or data sources beyond mentioning that it can sync a knowledge base and read docs, cases, and rules from the product flow. ## Informações rápidas - **Category**: AI Evaluation - **Platform**: Web app - **Primary users**: Product teams building AI features - **Source domain**: argminai.com - **Pricing**: First evaluation free; no credit card required to start - **Output**: Calibrated evaluator with scores and explanations