Oumi has unveiled a new platform featuring an AI engineer named FAiE, which automates the process of building and training AI agents. This launch addresses a gap in the AI landscape, where most tasks are automated, but the development of AI agents remains a labor-intensive manual process. FAiE allows users to quickly create specialized AI agents within 15 minutes and to continuously improve them by correcting errors in a chat interface, which triggers automated retraining and evaluation cycles.
FAiE: FAiE is an AI system that designs evaluations, diagnoses issues, curates data, selects training approaches, and runs experiments to build and refine AI agents. It integrates with user-provided feedback in chat to correct errors, update examples, retrain models, and assess improvements. The tool supports connection of existing agent harnesses for additional training methods such as SFT, DPO, or GRPO.
Oumi: Oumi develops tools and platforms for building, training, and improving AI agents. The company has launched a platform centered on its Frontier AI Engineer to automate the full lifecycle of creating specialized agents from user descriptions. This directly addresses manual engineering bottlenecks in AI agent development.
Koukoumidis: Koukoumidis is the voice behind Oumi’s announcement on automating AI agent engineering. He explained the motivation for creating a system that handles agent creation, training, and iteration without months of manual work.
User-Driven Improvement: The platform allows ongoing refinement of agents through conversational corrections that trigger automated retraining and evaluation cycles.
Agent Engineering Automation: Oumi’s launch targets the gap where AI automates most tasks but leaves AI agent development as a manual process.
AI tools built by Emerald Force
Built and supported by Emerald Force.
You might also like
- How AI Clusters Customer Feedback and Detects Sentiment
- AI Center of Excellence: Standards and Adoption
- Where AI Coding Excels: Tests, Refactors, Scaffolds
- AI Can Fake Documents-Why Verification Is Essential
- Can AI Identify You From a Photo? Key Risks
AI Models Explained: From Inputs to Outputs
- Synthetic Data: Purpose, Uses, and Limitations
- Preparing Students for Success in AI-Driven Work
- How AI Improves Test Prep With Plans and Practice
- Content Provenance: How Media Origins Are Verified