Fine-tune AI
in plain English
Describe what you want your model to do. Promptify generates training data, fine-tunes multiple variations, evaluates them, and deploys the winner automatically.
# Behavior rules
# Behavior rules
providers
3
eta
4m
-H "Bearer pk_live_xxx"
-d '{"model":"bot-v3"}'
Process
From idea to production
in four steps.
No ML expertise. No data pipelines. Just describe what you need.
Describe your intent
Write what you need in plain English. Define tone, behavior, constraints, and edge cases. No ML jargon.
Agents generate & train
AI agents synthesize training data, run multi-provider fine-tuning jobs, and test variations — autonomously.
Compare & evaluate
Side-by-side output comparison, custom test inputs, and LLM-judge evaluation metrics in one dashboard.
Deploy in one click
Ship via OpenAI-compatible API, embeddable widget, or direct integrations. Zero DevOps. Zero configuration.
Platform
Everything you need
to ship custom AI.
A complete platform for AI fine-tuning. From intent to production in minutes, not months.
Natural Language Training
Describe model behavior in plain English. We convert intent into precision training signals.
Synthetic Data Engine
Generate thousands of diverse, high-quality training examples from a single paragraph.
Multi-Provider Training
Train across OpenAI, Together AI, and Replicate in parallel. Pick the winner automatically.
Automated Evaluation
LLM-as-judge scoring measures accuracy, tone adherence, and rule compliance without test suites.
Instant Deployment
One-click deploy via OpenAI-compatible REST API or embeddable widget. Production-ready in minutes.
Bring Your Own Keys
Connect your own OpenAI, Together AI, or Replicate API keys. Your data stays under your control.
Before & After
The old way vs.
Promptify.
| Area | Traditional | Promptify ✦ |
|---|---|---|
| Dataset preparation | Weeks of manual work | Automatic generation |
| ML expertise required | Senior ML Engineer | None |
| Training infrastructure | Set up & maintain yourself | Fully managed |
| Model evaluation | Build custom pipeline | Built-in LLM judge |
| Time to production | Months | Minutes |
| Cost | ~$50–200k / year eng time | Free during beta |