Process
From idea to production
in four steps.
No ML expertise. No data pipelines. Just describe what you need and Promptify handles the rest.
Step 01
Describe your goal
Write what you want the model to do in plain English. Define tone, behavior, constraints, and edge cases. No ML jargon required.
- Define the model's personality and tone
- Specify rules and constraints
- List edge cases to handle
- Describe the expected output format
goal.txt
I need a customer support bot that: → Uses a friendly, professional tone → Escalates to humans for refunds > $100 → Never shares internal pricing data → Responds in the customer's language
Step 02
Agents go to work
Our AI agents take your description and automatically generate training data, then run fine-tuning jobs across multiple providers in parallel.
- Synthetic training examples generated automatically
- Parallel training on OpenAI, Together AI, Replicate
- Real-time progress updates via WebSocket
- Multiple model variations tested simultaneously
training.log
[✓] Analyzing goal description... [✓] Generating training examples... [→] Training gpt-4o-mini (Epoch 2/4) [→] Training mistral-7b (Epoch 3/4) [→] Training llama-3-70b (Epoch 1/4)
Step 03
Compare & evaluate
Side-by-side output comparison, custom test inputs, and LLM-as-judge evaluation metrics in one dashboard.
- Side-by-side output comparison
- Automated scoring on multiple criteria
- Test with your own custom inputs
- Detailed failure case analysis
results.txt
Model Comparison: ┌──────────────────┬───────┬──────┬──────────┐ │ Model │ Acc. │ Tone │ Rules │ ├──────────────────┼───────┼──────┼──────────┤ │ gpt-4o-mini │ 0.94 │ 0.96 │ 0.98 ✦ │ │ mistral-7b │ 0.92 │ 0.94 │ 0.95 │ │ llama-3-70b │ 0.89 │ 0.91 │ 0.93 │ └──────────────────┴───────┴──────┴──────────┘
Step 04
Deploy in one click
Ship via OpenAI-compatible API, embeddable widget, or direct integrations. Zero DevOps. Zero configuration.
- OpenAI-compatible REST API endpoint
- Embeddable chat widget
- Zapier and Make integrations
- Usage analytics and monitoring
deploy.sh
curl https://api.promptify.one/v1/chat/completions \
-H "Authorization: Bearer pk_live_xxx" \
-d '{
"model": "your-model-id",
"messages": [
{"role": "user", "content": "Hello!"}
]
}'