Teammately

Teammately is an AI agent platform built specifically for AI engineers who need to ship reliable, production-grade AI services. Instead of spending months manually tweaking prompts, building evaluation datasets, and debugging edge cases, you hand those tasks to Teammately's AI Agent. It picks foundation models, writes prompts tailored to each model, runs quick tests with synthesized test cases, and if the results are bad, it analyzes the failure and refines the AI automatically. It also builds RAG pipelines by handling chunking, embedding, and indexing, and it generates documentation that reflects the current performance and challenges of your AI. The goal is to make your AI hard to misbehave.

What sets Teammately apart is its focus on evaluation and observability. The AI Agent synthesizes test cases and multi-dimensional LLM judges that align with your project requirements, so you get fair, insightful metrics. You can compare multiple AI architectures — different prompts, RAG setups, and models — side by side. In production, the observability module uses LLM judges to automatically evaluate logs and alert you to failures via email or Slack. A failover feature routes requests to secondary models with pre-tailored prompts when the primary model fails. You can containerize models, prompts, and retrieval engines, then switch or roll back with one click — no Git bottlenecks. The whole thing integrates with a few lines of code and adds under 20 ms of latency.

This tool is for AI engineers and teams building LLM-powered products — whether you're a startup creating a chatbot or an enterprise deploying a customer-facing AI system. It helps with the repetitive, error-prone parts of AI development: prompt iteration, evaluation setup, and production monitoring. If you've ever spent weeks chasing hallucinations or debugging a RAG pipeline, Teammately could save you that time by automating the loop.