Kojen

Practice beats prompting. Kojen is the dojo for agentic AI, a training platform where models practice real-world tasks through graded katas, iterative tuning and an AI sensei, then ship with a score that says how far to trust them.

The Problem: Agents That Work Once

A demo that works once says little about an agent that has to work every time. Most teams get from prompt to production on instinct.

• One-shot prompting gives no repeatable way to improve
• Without a test set, nobody can say whether a change helped
• Failures tend to surface in front of users rather than in rehearsal

The Solution: Training as a Discipline

Kojen turns training into a practice. Models run through repeatable exercises, get feedback, iterate, and graduate with measurable scores.

How It Works

Describe the job. Tell Sensei what the model should do, and Intent to Model mode returns the dataset schema, base model, evaluation plan and deployment plan.

Train and spar. Run katas from beginner to master, tune in the Forge against your own test cases, and red-team the model in simulations before anyone relies on it. Prompt tuning and model search run for real today. LoRA, fine-tuning and RLHF are previews.

Score and ship. Every evaluation covers accuracy, hallucination, bias and latency and ends in a 0 to 100 trust score. Runs that pass deploy to an OpenAI-compatible endpoint, where real latency, errors and user feedback are tracked.

Built for Agents Too

The whole training loop is open to agents through a REST API and an MCP server, so an agent can run the dojo itself.

Kojen Academy

Free, cited courses cover AI training foundations, tuning, the economics of model training, evaluation and agents in production.

Pricing

Kojen is free to start with no card needed, then pay as you go. Start at kojen.ai.