MoveTheNeedleWithAIAgentsWithNoCode

Transform LLM-based classifiers from proof-of-concept to production-ready. Our optimizer agents automate the process of aligning prompts with your business needs, using a disciplined, scientific approach to prompt engineering.

Automated Prompt Engineering

01006085
94%
Classification Accuracy
72.0% ↗ 94.0%

Optimizer agents use advanced techniques to explore the prompt space and find the best prompts for your use case. They automatically test variations and validate improvements, delivering reproducible results at scale.

By combining evaluation metrics with intelligent agent workflows, we've automated the most time-consuming aspects of prompt optimization. The result is a systematic approach to improving LLM classifier performance that's both efficient and cost-effective.

Minimal Human Input Required

Your team's expertise stays focused on providing quality labels—not on the intricacies of prompt engineering. Optimizer agents handle the complex process of exploring prompt variations and validating improvements, delivering reproducible results at scale.

By combining evaluation metrics with intelligent agent workflows, we've automated the most time-consuming aspects of prompt optimization. The result is a systematic approach to improving LLM classifier performance that's both efficient and cost-effective.

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PRIMUS
Part of the Anthus Platform

Primus

Primus is the Anthus MLOps platform and agent incubator for evaluating, deploying, and continuously improving AI agents.

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Anthus AI Solutions

Products, the open-source building blocks behind them, and the public research that tests them.

Products

Cyclotron

Open-source, self-aligning decision engine.

Chatticus

A shared office for people and their AI agents.

Papyrus

Open-source newsroom that runs in your AWS account.

Auritus

Just-in-time narration for the web.

Open source we use

Tactus

Durable runtime for agent procedures.

Kanbus

Durable multi-agent task management.

Biblicus

Corpus analysis for extraction and retrieval.

Markus

GitHub-flavored Markdown with a vocabulary for layout intent.

Research

Hard Decisions

Independent benchmark of decision models.

Biased Decisions

Leaderboard of demographic bias in decision models.

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