Teammately: AI Agent for AI Engineers | Build Reliable AI

Teammately

3.5 | 280 | 0
Type:
Website
Last Updated:
2025/10/07
Description:
Teammately is the AI Agent for AI Engineers, automating and fast-tracking every step of building reliable AI at scale. Build production-grade AI faster with prompt generation, RAG, and observability.
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AI Agent
AI Engineering
RAG
LLM Judge
AI Observability

Overview of Teammately

Teammately: The AI Agent for AI Engineers

What is Teammately? Teammately is an AI agent specifically designed for AI engineers. It aims to automate and accelerate every step of building reliable AI at scale, helping to build AI that’s hard to misbehave.

How does Teammately work? It achieves this by providing tools and functionalities that address key challenges in developing production-level AI, such as:

  • Prompt Generation & Self-Refinement: Teammately AI Agent selects foundation models, generates prompts based on best practices, and tests them using synthesized test cases. If evaluation results are poor, it autonomously analyzes the cause and refines the AI.
  • Test Case & LLM Judge Synthesizer for Evaluation: It automatically generates test cases and insightful metrics tailored to the AI project, ensuring high-quality evaluation.
  • Agentic RAG Builder: Teammately AI Agent automates the process of building Retrieval-Augmented Generation (RAG) systems, including chunking, embedding, and indexing.
  • Interpretable AI Observability: It automatically evaluates logs with multi-dimensional LLM judges, allowing for quick identification of problems, even in production.
  • AI-Generated Documentation: Teammately AI Agent generates and updates documentation based on the AI's performance and challenges, facilitating team collaboration.

Key Features and Benefits:

  • Multi-dimensional LLM Judge: Evaluate AI performance with various evaluation methods for more reliable judgments.
  • Automated Data Cleaning for RAG: Automatically cleans and rewrites documents to improve context embedding and identify failures.
  • Comparison of Multiple AI Architectures: Simultaneously simulates and compares different AI architectures (Prompt, RAG, models) to find the optimal one.
  • Failover to Secondary Models & Prompts: Automatically routes to secondary models with pre-tailored prompts when the primary model fails.
  • Centralized Management: Containerize models, prompts, and retrieval engines to ensure elasticity in AI DevOps. It also automates infrastructure provisioning and management.
  • Easy Switching and Rollback: Enables easy switching and rollback of models, prompts, and databases.

How to Use Teammately?

Teammately can be integrated into your application with a few lines of code, adding only 20ms or less latency compared to directly calling the foundation model's API. It allows for centralizing the management of models, prompts and retrieval engines to ensure elasticity in your AI DevOps.

Who is Teammately for?

Teammately is ideal for AI engineers and teams looking to:

  • Accelerate the development of production-grade AI.
  • Improve the reliability and safety of their AI systems.
  • Streamline the AI DevOps process.
  • Automate tedious and repetitive tasks.

Why choose Teammately?

Teammately helps transform AI engineering into a more creative endeavor by automating key processes. By leveraging AI Agents, Teammately maximizes safety and reliability, catching edge cases that might otherwise go unnoticed.

Teammately's approach to building production-level AI empowers AI engineers to deliver reliable and scalable AI solutions efficiently. The platform supports a range of functionalities, including prompt generation, RAG development, self-refinement, multi-dimensional LLM judging, and AI-generated reporting.

In conclusion, Teammately provides a comprehensive AI agent solution that addresses the complexities of building robust and reliable AI systems. With its focus on automation, scalability, and safety, Teammately empowers AI engineers to build AI that's hard to fail. Best way to build reliable AI is by implementing tools like Teammately in your AI engineering workflow.

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