Iterate and experiment with your agentic workflows, >5x faster

A prompt IDE (Integrated Development Environment) is a specialized playground for designing, testing, and optimizing prompts across various LLMs. Maxim’s prompt IDE supports multimodal inputs, multiple model types (including open-source, closed, and custom), and provides real-world context integration; making it essential for high-quality, production-grade AI applications.
(See: Run your first test on prompt)

Maxim includes built-in prompt versioning. Each change to a prompt is tracked with author, timestamp, and optional comments. You can organize prompts into folders, compare changes across versions, restore earlier iterations, and manage collaboration across teams with shared access controls.
(See: Prompt Chains Testing)

Yes. Maxim supports bringing in external context through a simple API integration. You can use document embeddings to transform your internal data into a form that LLMs can use effectively. This enables advanced retrieval-augmented generation (RAG) techniques, helping you build more accurate and context-aware applications.
(See: Ingest files as context, Bring your own RAG)

With Maxim, you can identify hallucinations in LLM outputs using structured evaluations and by comparing outputs across different model configurations. The platform also supports human-in-the-loop feedback, helping you detect inaccuracies and improve response reliability before deploying to production.
(See: Create Human Evaluators, Run tests on datasets)

Maxim enables production-grade deployment of prompts using its SDK. You can configure dynamic deployment variables, apply conditional logic, and integrate prompts directly into your application stack. A/B testing tools allow you to compare prompt variants in live settings, with observability features to monitor behavior and performance post-deployment.
(See: Trigger Test Runs using SDK, Observability Overview)

AI agents are autonomous workflows composed of prompts, logic, and tools. Maxim’s AI workflow builder (Chains) lets you prototype and evaluate your agents in a drag-and-drop interface.
(See: Overview, Prompt Chains)