Future AGI

Future AGI is a unified observability and evaluation platform designed for teams building and operating LLM-powered applications and AI agents. It provides end-to-end visibility into model behavior, from development and experimentation through staging and production, enabling teams to understand, debug, and systematically improve their AI systems. The platform focuses on making LLM performance measurable, comparable, and reliable across real-world workloads and environments.

Future AGI centralizes logs, traces, and metrics for prompts, responses, and tool calls, allowing granular inspection of how agents and LLMs behave in complex workflows. It supports automated and human-in-the-loop evaluation, with configurable test suites, benchmarks, and custom scoring functions to track quality, safety, latency, and cost. Teams can run A/B tests across models, prompts, and agent strategies, and use regression detection to identify quality drops before they impact users. The platform integrates with popular LLM providers, vector databases, and orchestration frameworks, simplifying adoption within existing AI stacks.